System and method for secure product tracking and authenticating using preprinted machine-readable codes with GEO-fencing

Abstract

The present invention relates to a system and method for secure product tracking and authentication using preprinted machine-readable codes integrated with geo-fencing, tamper-proof mechanisms, and AI-driven counterfeit detection. The system comprises a machine-readable code activation module that enables manufacturers to request and receive preprinted codes, which are activated only within authorized geo-fenced locations. A product verification and tracking module allows stakeholders to scan and authenticate codes at various checkpoints, ensuring real-time product legitimacy verification. A product data analysis and authentication module utilizes AI- based analytics, heatmap-based sales insights, and blockchain technology to detect counterfeit attempts, enforce trade compliance, and enhance supply chain visibility. The invention further incorporates a dual-layer tamper-proof sticker system and integrates with mobile printers and sealing devices for dynamic machine-readable code generation and validation. The system provides end-to-end traceability, fraud prevention, and regulatory compliance across industries, including pharmaceuticals, food, electronics, and luxury goods.

Description

“SYSTEM AND METHOD FOR SECURE PRODUCT TRACKING AND AUTHENTICATING USING PREPRINTED MACHINE-READ ABEE CODES WITH GEO-FENCING”TECHNICAE FIEED

[0001] The present disclosure generally relates to the field of product authentication, tracking, and counterfeit prevention. More particularly, the present disclosure relates to a system and method for secure product tracking and authentication using preprinted machine-readable codes, such as QR codes or barcodes, integrated with geo-fencing technology. The present disclosure ensures tamper-proof activation, real-time traceability, and supply chain security by allowing machine-readable codes to be activated only within authorized geographic locations. This system is applicable across various industries, including pharmaceuticals, food and beverage, consumer goods, and high-value merchandise, providing an advanced solution for counterfeit prevention, compliance monitoring, and supply chain transparency.BACKGROUND

[0002] In today’s globalized market, counterfeit products, unauthorized duplication, and supply chain fraud pose significant challenges across various industries, including pharmaceuticals, food and beverage, consumer goods, and luxury merchandise. Counterfeit goods not only result in financial losses for manufacturers but also pose serious risks to consumer health and safety, particularly in industries dealing with medications, beverages, and perishable goods.

[0003] Traditional product authentication and tracking methods, such as holograms, serial numbers, and standard barcodes, have proven insufficient in combating counterfeiting due to their ease of replication and lack of real-time tracking capabilities. While QR codes and barcodes are widely used for tracking, they are often vulnerable to unauthorized duplication, premature activation, and misuse. Additionally, once a QR code is printed, it can be activated or scanned from any location, making it difficult to verify its authenticity and origin. Another major technical challenge is securing product packaging and preventing tampering. Conventional product tracking systems do not integrate location-based security mechanisms, allowing bad actors to activate or manipulate machine-readable codes in unauthorized locations. This leads tofraudulent supply chain activities, including unauthorized reselling, fake activations, and product diversions.

[0004] Furthermore, supply chain visibility remains limited, as traditional tracking systems often fail to provide real-time monitoring and authentication at different checkpoints. Manufacturers and regulatory authorities require a more robust system that not only tracks product movement but also ensures that each machine-readable code is activated only in designated locations, preventing unauthorized activation or duplication.

[0005] In the light of the aforementioned discussion, there exists a critical need for a secure product tracking and authentication system that integrates preprinted machine-readable codes (QR codes, barcodes) with geo-fencing technology to restrict activation to authorized locations, ensuring real-time traceability, tamper-proof security, and supply chain transparency. Such a system would provide a highly secure, scalable, and industry-adaptable solution to mitigate counterfeiting risks, improve compliance monitoring, and enhance overall product authentication.SUMMARY

[0006] The following presents a simplified summary of the disclosure in order to provide a basic understanding to the reader. This summary is not an extensive overview of the disclosure and it does not identify key / critical elements of the invention or delineate the scope of the invention. Its sole purpose is to present some concepts disclosed herein in a simplified form as a prelude to the more detailed description that is presented later.

[0007] Exemplary embodiments of the present disclosure are directed towards a system and method for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing.

[0008] An objective of the present disclosure is directed towards a system that utilizes preprinted machine-readable codes, such as QR codes or barcodes, which are uniquely generated and stored in a backend database before activation to ensure product authenticity and security.

[0009] Another objective of the present disclosure is directed towards integrating geo-fencing technology with preprinted machine-readable codes, ensuring that the codes remain inactive until activated within an authorized geographic location, thereby preventing unauthorized activations and counterfeit attempts.

[0010] Another objective of the present disclosure is directed towards a system that ensures tamper-proof product authentication by locking the activated machine-readable codes in the database, making them non-reusable and immutable, thereby enhancing supply chain security.

[0011] Another objective of the present disclosure is directed towards providing a real-time product tracking system that enables continuous monitoring of product movement from manufacturing to the end consumer, ensuring supply chain visibility and compliance.

[0012] Another objective of the present disclosure is directed towards implementing a counterfeit detection mechanism that redirects unauthorized machine readable code (QR code) scans to a verification system, thereby identifying counterfeit products and notifying stakeholders in real time.

[0013] Another objective of the present disclosure is directed towards a system that integrates with packing and sealing machines, ensuring that machine readable code (QR code) activation is only triggered upon successful product sealing, thereby preventing unauthorized repackaging or tampering before distribution.

[0014] Another objective of the present disclosure is directed towards a system that is adaptable across multiple industries, including pharmaceuticals, food & beverages, electronics, and consumer goods, ensuring compliance, traceability, and consumer safety.

[0015] Another objective of the present disclosure is directed towards incorporating Al-driven authentication and monitoring techniques that use pattern recognition and similarity detection algorithms to flag counterfeit or unauthorized product activations.

[0016] Another objective of the present disclosure is directed towards generating heatmaps using geo-tagged machine readable code (QR code) scan data, providing real-time sales analytics, consumer behavior insights, and market intelligence to optimize inventory and distribution strategies.

[0017] Another objective of the present disclosure is directed towards a system that allows consumers / users to scan machine readable codes (QR codes) for product verification, enabling direct access to product details, authentication status, warranty registration, and brand communication, thereby enhancing consumer trust and engagement.

[0018] Another objective of the present disclosure is directed towards a system that allows both authorized and unauthorized machine-readable codes to be scanned and redirects all scan attempts to a database for verification, ensuring that counterfeit products using fake machine-readable codes can also be identified.

[0019] Another objective of the present disclosure is directed towards a system that logs unauthorized machine-readable code scans, analyzes the scanned data, and provides real-time feedback to customers / users and stakeholders regarding the product’s authenticity and potential counterfeit risks.

[0020] Another objective of the present disclosure is directed towards implementing a proactive counterfeit detection system that logs all unauthorized machine-readable code scan attempts, generates detailed reports, and enables manufacturers and regulatory bodies to take targeted action against counterfeiters.

[0021] Another objective of the present disclosure is directed towards a system that integrates mobile sealing devices with handheld printers, enabling real-time generation and printing of machine-readable codes upon successful product sealing, ensuring secure and automated labeling.

[0022] Another objective of the present disclosure is directed towards a system that enables automatic activation of machine-readable codes only upon successful sealing of a product, ensuring that unauthorized activations are prevented and that product security is maintained throughout the supply chain.

[0023] Another objective of the present disclosure is directed towards a system that captures and links sealing metadata, including timestamp, geolocation, and sealing device ID, to the machine-readable code, allowing for enhanced traceability and authentication.

[0024] Another objective of the present disclosure is directed towards a system that supports portable and offline sealing operations, enabling data storage locally on mobile sealing devices and synchronization with a server upon reconnection, ensuring uninterrupted product tracking even in remote locations.

[0025] Another objective of the present disclosure is directed towards a system that enhances tamper-proof packaging security by embedding a unique sealing identifier into the activated machine-readable code, ensuring that any attempt to reseal or tamper with the product is detectable.

[0026] Another objective of the present disclosure is directed towards a system that integrates a printing feature with handheld printers, enabling dynamic generation and real-time printing of machine-readable codes to enhance product tracking and authentication.

[0027] Another objective of the present disclosure is directed towards a system that enables the real-time generation and printing of machine-readable codes on product packaging using mobile devices connected to handheld printers via Bluetooth, Wi-Fi, or USB, ensuring seamless operation in various environments.

[0028] Another objective of the present disclosure is directed towards a system that allows users to customize machine-readable codes in real time, embedding product-specific details,timestamps, and geolocation data before printing, ensuring enhanced traceability and authentication.

[0029] Another objective of the present disclosure is directed towards a system that supports offline printing of machine-readable codes, allowing data storage on local devices and synchronization with the server upon reconnection, ensuring uninterrupted tracking even in offline environments.

[0030] Another objective of the present disclosure is directed towards a system that enables batch printing and on-demand printing of machine-readable codes, allowing users to print codes in bulk or as individual codes, improving flexibility and operational efficiency in product labeling and tracking.

[0031] Another objective of the present disclosure is directed towards a system that utilizes dual machine-readable codes, where one code is assigned to the outer packaging and another to the inner product, ensuring multi-layered security and product authenticity verification.

[0032] Another objective of the present disclosure is directed towards a system that integrates geo-tagged and timestamped data with dual machine-readable codes, ensuring real-time traceability and secure activation within the database.

[0033] Another objective of the present disclosure is directed towards a system that enables dynamic activation of machine-readable codes upon successful sealing, ensuring that the codes remain inactive until the product is securely sealed using mobile or fixed sealing devices.

[0034] Another objective of the present disclosure is directed towards a system that prevents tampering and unauthorized repackaging by validating the correspondence between inner and outer machine-readable codes, thereby enhancing counterfeit detection and supply chain integrity.

[0035] Another objective of the present disclosure is directed towards a system that integrates dual machine-readable codes with mobile and fixed printers and sealing devices, ensuring that each machine-readable code is applied dynamically during the product packaging and sealing process.

[0036] Another objective of the present disclosure is directed towards a system that enables realtime tracking of products throughout the supply chain by utilizing dual machine-readable codes scanned at different checkpoints, ensuring end-to-end visibility and operational security.

[0037] Another objective of the present disclosure is directed towards a system that generates heatmaps from geo-tagged machine-readable code scan data, providing stakeholders with clear visualizations of sales trends and consumer behavior, enabling data-driven decision-making and targeted business strategies.

[0038] Another objective of the present disclosure is directed towards a system that enables tailored marketing campaigns based on regional insights derived from heatmap data, allowing businesses to maximize return on investment (ROI) and increase customer engagement in targeted areas.

[0039] Another objective of the present disclosure is directed towards a system that ensures efficient inventory allocation and optimized delivery route planning by analyzing heatmap-based consumer demand and product sales trends, reducing logistical inefficiencies.

[0040] Another objective of the present disclosure is directed towards a system that is scalable and adaptable across various industries, including Fast-Moving Consumer Goods (FMCG), pharmaceuticals, and electronics, allowing businesses across sectors to leverage heatmap insights for improved market penetration and operational efficiency.

[0041] Another objective of the present disclosure is directed towards a system that enables FMCG manufacturers to identify high-sales urban regions and untapped rural markets through heatmap analysis, facilitating targeted advertising and expansion strategies in low-sales zones.

[0042] Another objective of the present disclosure is directed towards a system that monitors regional sales trends of over-the-counter pharmaceuticals, enabling manufacturers to prioritize supply in high-demand areas, ensuring optimal drug availability and compliance with market needs.

[0043] Another objective of the present disclosure is directed towards a system that identifies underserved regions for smartphone and electronic product sales, prompting distributors to expand their reach and optimize retail placement based on consumer demand.

[0044] Another objective of the present disclosure is directed towards a system that utilizes heatmap data from machine-readable code scans to identify real-time consumer demand, enabling businesses to dynamically adjust marketing, distribution, and pricing strategies based on changing sales patterns.

[0045] Another objective of the present disclosure is directed towards a system that enables adaptive market expansion by analyzing consumer behavior trends from heatmap-based sales data, allowing manufacturers and retailers to identify emerging markets, adjust inventory strategies, and maximize business growth potential.BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In the following, numerous specific details are set forth to provide a thorough description of various embodiments. Certain embodiments may be practiced without these specific details or with some variations in detail. In some instances, certain features are described in less detail so as not to obscure other aspects. The level of detail associated with each of the elements or features should not be construed to qualify the novelty or importance of one feature over the others.

[0047] FIG. 1A is a block diagram depicting a schematic representation of a system for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing, in accordance with one or more exemplary embodiments.

[0048] FIG. IB is a block diagram depicting an embodiment of the system for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing, in accordance with one or more exemplary embodiments.

[0049] FIG. 1C is a block diagram depicting an embodiment of the system for secure product tracking, authentication, and tamper-proof packaging using mobile sealing and handheld printer integration, in accordance with one or more exemplary embodiments.

[0050] FIG. 2 is a block diagram depicting an embodiment of the machine-readable code activation module 114a as shown in fig. 1A, in accordance with one or more exemplary embodiments.

[0051] FIG. 3 A is a block diagram depicting an embodiment of the product verification and tracking module 116a as shown in fig. 1A, in accordance with one or more exemplary embodiments.

[0052] FIG. 3B is a block diagram depicting an embodiment of the user interface module as shown in fig. 3A, in accordance with one or more exemplary embodiments.

[0053] FIG. 4 is a block diagram depicting an embodiment of the POS product authentication module 118b as shown in fig. IB, in accordance with one or more exemplary embodiments.

[0054] FIG. 5 is a block diagram depicting an embodiment of the retail product authentication module 120b as shown in fig. IB, in accordance with one or more exemplary embodiments.

[0055] FIG. 6 is a block diagram depicting an embodiment of the product data analysis and authentication module 120a as shown in fig. 1A, in accordance with one or more exemplary embodiments.

[0056] FIG. 7 is a block diagram depicting an embodiment of the data analytics modules as shown in Fig. 6, in accordance with one or more exemplary embodiments.

[0057] FIG. 8 is a block diagram depicting an embodiment of the compliance and security module as shown in Fig. 6, in accordance with one or more exemplary embodiments.

[0058] FIG. 9 is a flow diagram depicting a method for requesting and activating preprinted machine-readable codes with geo-fencing, in accordance with one or more exemplary embodiments.

[0059] FIG. 10 is a flow diagram depicting a method for method for secure product tracking and authentication using dual machine-readable codes, in accordance with one or more exemplary embodiments.

[0060] FIG. 11 is a flow diagram depicting a method for analyzing consumer behavior using geo-tagged machine-readable code data, in accordance with one or more exemplary embodiments.

[0061] FIG. 12 is a flow diagram depicting a method for verifying authenticity and detecting counterfeit and mimicry products at critical checkpoints, in accordance with one or more exemplary embodiments.

[0062] FIG. 13 is a flow diagram depicting a method for optimizing marketing strategies using heatmap analytics, in accordance with one or more exemplary embodiments.

[0063] FIG. 14 is a flow diagram depicting a method for ensuring secure trade transactions, preventing counterfeiting, and enforcing trade compliance, in accordance with one or more exemplary embodiments.

[0064] FIG. 15 is a flow diagram depicting a method for tamper-proof product authentication using a dual-layer machine readable code sticker, in accordance with one or more exemplary embodiments.

[0065] FIG. 16 is a flow diagram depicting a method for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing in accordance with one or more exemplary embodiments.

[0066] FIG. 17 is a block diagram illustrating the details of a digital processing system in which various aspects of the present disclosure are operative by execution of appropriate software instructions.DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

[0067] It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or of being carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

[0068] The use of “including”, “comprising” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items. Further, the use of terms “first”, “second”, “third”, and the like, herein do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

[0069] Referring to FIG. 1A is a block diagram 100a depicting a schematic representation of a system for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing, in accordance with one or more exemplary embodiments. The system 100a includes a first computing device 102a, a second computing device 104a, a network 106a, aprocessor 108a, a camerallOa, a memoryll2a, a machine readable code activation module 114a, a product verification and tracking module 116a, a serverll8a, a products data analysis and authentication modulel20a, a database server 122a, a databasel24a, and a scanning devicel26a. The system 100a is designed to enhance supply chain transparency, product authentication, and counterfeit prevention through preprinted machine-readable codes that are linked to a centralized backend system. These codes remain inactive until activated at designated packing locations, where real-time data such as geo-coordinates, timestamps, and product-specific details are captured and locked.

[0070] The first computing device 102a may be configured to enable manufacturers to register within the system, submit product details, and authorized data, including licenses, permissions, trademark registrations, and GPS coordinates (latitude and longitude), and request one or more machine-readable codes for their products. This request is transmitted to the server 118a, where the server 118a generates unique machine-readable codes while associating them with the submitted product details and authorized data. Each generated machine-readable code is stored under a unique identifier within the database 124a, ensuring traceability. Once the codes are generated, they are transferred back to the manufacturer through the network 106a. The manufacturer may then activate the machine-readable code using a geo-fencing link, ensuring that the activation process is completed only within an authorized geographic location. During activation, a timestamp is recorded and stored in the database 124a, making it impossible for unauthorized activations to occur outside of the designated area.

[0071] The first computing device 102a may include the processor 108a, the camera 110a, and the memory 112a, which work collectively to generate, store, and activate machine-readable codes. The machine-readable code activation module 114a may be configured to manage the code activation process by validating the product's location before enabling activation. The processor 108a may be configured to execute authentication instructions and process activation requests, while the camera 110a may be configured to scan and capture product-related images for verification purposes. The memory 112a may be configured to store activation logs, product details, and tracking data, ensuring that all relevant information is retained throughout the product lifecycle. The second computing device 104a may be configured to allow stakeholders,including dealers, retailers, and end-users, to verify the authenticity of products by scanning the machine-readable codes. Upon scanning, the system retrieves real-time product data from the database 124a, allowing the user to verify the product’s legitimacy and trace its origin. The product verification and tracking module 116a within the second computing device 104a may be configured to validate machine-readable codes, track product movements, and monitor sales transactions. Additionally, the product verification and tracking module 116a enables real-time counterfeit detection, preventing unauthorized activations or fraudulent product sales. The server 118a plays a crucial role in managing and analyzing data related to machine- readable code activation, authentication, and tracking. The products data analysis and authentication module 120a may be configured to process verification requests, detect unauthorized scans, and generate alerts for stakeholders in case of counterfeit attempts. The database server 122a facilitates the secure storage and retrieval of product details, including geo-tagged activation data, timestamps, and compliance records. The database 124a serves as a centralized repository that maintains records of all generated and activated machine-readable codes, ensuring tamper-proof traceability. The network 106a facilitates secure data transmission between the first computing device 102a, the second computing device 104a, the scanning device 126a, and the server 118a. The network 106a may include but is not limited to, loT-based communication, Ethernet, wireless local area networks (WLAN), Bluetooth Low Energy (BLE), ZigBee, Wi-Fi, 4G LTE, 5G networks, Near Field Communication (NFC), and RFID. The scanning device 126a may be configured to capture and authenticate machine-readable codes at various checkpoints in the supply chain, ensuring that real-time tracking and verification are maintained at all stages. The activation of machine-readable codes occurs only within registered packing locations that have been pre-authorized within the system, ensuring that counterfeiters cannot illegally activate or manipulate machine-readable codes outside designated areas. The server 118a may be configured to synchronize activated codes with dealer updates, retailer transactions, sold product alerts, and expiry tracking, ensuring that all stakeholders receive real-time updates on product movement and authentication status. Additionally, the system supports integration with sealing machines, allowing machine-readable codes to be activated only upon successful product sealing. This feature ensures that products cannot be tampered with before they enter the supply chain, enhancing product security. Furthermore, the system restricts machine-readable code activationto authorized devices or web platforms, preventing unauthorized activations and ensuring compliance with industry regulations.

[0072] The system 100a provides real-time authentication, tracking, and compliance for multiple industries, including dairy, bottled water, pharmaceuticals, apparel, and perishable goods. The database 124a supports additional data fields such as batch numbers, expiry dates, and pricing information, allowing businesses to customize machine-readable codes for compliance and customer engagement. The geo-fencing technology implemented in the system leverages GPS, cellular networks, and custom algorithms to restrict machine-readable code activation to predefined locations, preventing fraudulent activations. In operation, the system 100a provides real-time notifications to stakeholders, alerting them when machine-readable codes are activated, scanned, or flagged for potential fraud. This enables manufacturers, dealers, retailers, and regulatory bodies to monitor product movement, detect anomalies, and take immediate action in case of counterfeit attempts. The system 100a enhances supply chain security, prevents counterfeit activities, and enables end-to-end traceability, ensuring that only genuine products reach consumers. By implementing a preprinted machine-readable code system, geo-tagging, and backend synchronization, this invention offers a comprehensive solution for secure product tracking and authentication.

[0073] In accordance with one or more exemplary embodiments of the present disclosure, the system 100a introduces a tamper-proof machine-readable code authentication system designed to ensure secure product tracking and authentication while preventing unauthorized reuse, counterfeiting, and fraudulent activities. The system 100a utilizes a two-layer sticker structure to provide physical and digital security for machine-readable codes, ensuring that once a product is authenticated, the code cannot be reused or transferred. The tamper-proof machine-readable code authentication system comprises a sticker with a two-layer structure. The bottom adhesive layer securely contains the machine-readable code (QR code), which is affixed directly onto the product or packaging surface. The top layer acts as a protective cover, designed to be transparent or non-coded, ensuring that external tampering attempts cannot modify or replace the machine-readable code. During standard product authentication, the top layer must be peeled off to expose the QR code on the adhesive layer. Upon removal, the QR code remains permanently attached tothe surface of the article, while the detached top layer becomes invalid, as it does not contain any machine-readable code. This ensures that any attempt to transfer or reuse the top layer for fraudulent scanning will fail. The authentication process occurs only if the machine-readable code remains intact on the product and is verified against a secure database during scanning. In some embodiments, the machine-readable code may be encrypted and linked to the database 124a for digital authentication. The database 124a may store unique identifiers, geo-coordinates, and timestamps associated with each machine-readable code activation, ensuring scan validation within a secure, predefined geo-fenced location. If a machine-readable code is scanned from an unauthorized location, the system may automatically flag the attempt as fraudulent and notify stakeholders. In other embodiments, the removal of the sticker may disrupt the machine-readable code, rendering it partially or completely unreadable. This feature ensures that once detached, the machine readable code cannot be reused or counterfeited. The system may also integrate a secondary machine readable code that is used for inventory tracking and supply chain verification, allowing manufacturers and retailers to monitor product movement efficiently. The tamper-proof machine readable authentication system can be applied across various industries, including luxury goods authentication, banking security, pharmaceutical verification, and high-value product tracking. In tax-regulated industries such as liquor and tobacco, the system may serve as a digital tax stamp, ensuring compliance with government regulations while preventing illicit trade. By combining physical security measures with digital authentication and real-time verification, this system offers a robust anti-counterfeiting solution that protects against fraud, tax evasion, and resale scams while ensuring the integrity of genuine products.

[0074] Referring to FIG. IB is a block diagram 100b depicting an embodiment of the system for secure product tracking and authenticating using preprinted machine-readable codes with geofencing, in accordance with one or more exemplary embodiments. The system 100b is specifically designed to ensure point-of-sale (POS) authentication and retailer-level verification, preventing the entry of counterfeit products into the market. This implementation strengthens supply chain security by validating product authenticity at critical transaction points, including POS terminals and small-scale retailers. The system 100b may include a third computing device 102b, a fourth computing device 104b, a network 106b, a scanner 110b, and a third-party server 108b. These components interact seamlessly to enable real-time verification of machine-readablecodes, transaction tracking, counterfeit detection, and automated alerts to stakeholders. Through integration with the server 118a, the system enables continuous monitoring of products by validating geo-coordinates, timestamps, and product metadata against registered records.

[0075] The third computing device 102b may be configured to perform POS authentication, ensuring that product authenticity is verified before completing a sale. This verification process prevents fraudulent transactions by allowing only genuine products to pass through the retail supply chain. The third computing device 102b may include a processor 112b, which executes authentication functions, and a camera 114b, which may be configured to scan and capture machine-readable codes for validation. The memory 116b may store transaction logs, sales authentication data, and flagged counterfeit attempts, ensuring that all scanned products undergo rigorous verification before sale. At the time of purchase, the third computing device 102b may be configured to interact with the server 118a through the network 106b, sending scanned product details for cross-referencing against registered product entries. The server 118a may analyze the scanned code by comparing it with metadata such as geo-coordinates, timestamps, and associated product details stored in the database 124a. If any discrepancies are found, the server 118a may automatically flag the product as counterfeit and prevent its sale. Additionally, the server 118a may utilize Al-based similarity detection algorithms to detect product mimicry, identifying cases where counterfeiters attempt to deceive retailers by modifying legitimate product names or barcodes. The fourth computing device 104b may be configured to support retail-level authentication, ensuring that small-scale retailers can verify product authenticity before selling to consumers. This device enables verification of products received from suppliers, preventing unauthorized stock from being introduced into the retail environment. The fourth computing device 104b may include a processor 112b, responsible for executing authentication operations, and a camera 114b, which allows for the scanning of machine- readable codes. The memory 116b stores product verification history, flagged counterfeit attempts, and sales transaction records, ensuring that retailers can track their inventory and identify fraudulent products. When a product is scanned at the retailer level, the fourth computing device 104b may interact with the server 118a via the network 106b, retrieving stored product details and verifying their authenticity. The system 100b may check if the scanned machine-readable code exists in the backend database 124a and whether its associated metadata matches the registered productrecords. If inconsistencies are detected, the system may be configured to notify the retailer, supplier, and relevant stakeholders to prevent the distribution of counterfeit goods. The network 106b plays a crucial role in facilitating secure communication between the third computing device 102b, fourth computing device 104b, scanner 110b, and third-party server 108b. This network infrastructure supports multiple communication protocols, including Wi-Fi, Bluetooth, loT-based connectivity, RFID, NFC, and cloud- based APIs, enabling real-time data exchange and authentication processes. The scanner 110b is an essential component of the system, allowing retailers and POS operators to capture and authenticate machine-readable codes at the transaction level. Once a product is scanned, its details are transmitted to the backend for verification, ensuring that only authorized products are allowed through retail checkpoints.

[0076] The third-party server 108b may be configured to support extended verification processes, particularly for monitoring product listings on e-commerce platforms, regulatory databases, and public advertisements. By integrating with external monitoring systems, the third-party server 108b allows for the detection of unauthorized product listings, counterfeit advertisements, and fraudulent sales promotions. When an unauthorized listing is identified, the system may generate real-time alerts for product owners, regulatory bodies, and enforcement agencies, enabling swift action to prevent counterfeit distribution. To further enhance counterfeit detection, the system 100b may incorporate Al-driven algorithms and web scraping tools that continuously scan online marketplaces, social media platforms, and digital advertisements for unauthorized mentions of registered product names. By analyzing product names, barcodes, and metadata, the system can identify fraudulent listings, even if the counterfeiters have attempted to alter product spellings, descriptions, or brand imagery. If a flagged product is detected, the system may immediately notify the product manufacturer and initiate takedown requests on the respective platforms. Geo-fencing technology is also integrated into the system to restrict machine-readable code validation to specific authorized locations. This ensures that counterfeiters cannot activate or validate fake products outside of designated supply chain checkpoints. If a counterfeit attempt is detected outside a predefined geo-fenced region, the system may flag the product and generate real-time alerts for stakeholders. Additionally, the geocoordinates and timestamps associated with each product scan are continuously monitored to detect irregular supply chain movements, smuggling attempts, or unauthorized diversions. Thesystem also includes counterfeit flagging mechanisms and real-time alerts that notify stakeholders when a suspicious transaction or counterfeit attempt is identified. If a scanned machine-readable code does not exist in the database 124a or its metadata does not match registered records, the system will automatically flag it as counterfeit and notify the relevant parties, including retailers, distributors, regulatory authorities, and brand owners. Notifications may be sent through email, SMS, or mobile app alerts, ensuring immediate action to prevent the sale and distribution of counterfeit goods. The system is described in FIG. IB enhances point-of-sale verification, retailer-level authentication, and counterfeit detection, providing an advanced security layer for supply chain integrity. By integrating Al-based counterfeit detection, geofencing mechanisms, and real-time alert systems, the system ensures that only genuine products reach consumers while blocking fraudulent transactions at POS terminals and retail distribution points. The combined efforts of third computing device 102b and fourth computing device 104b provide a robust authentication framework, enabling traceability, security, and market-wide counterfeit prevention.

[0077] In accordance with one or more exemplary embodiments of the present disclosure, FIG. IB illustrates an embodiment of the system for secure product tracking and authentication using preprinted machine-readable codes with geo-fencing. This embodiment extends the system’s functionality by enhancing counterfeit detection through the database 124a matching and mimicry identification, ensuring a secure and transparent supply chain. The newly introduced features enable the system to handle unauthorized QR codes, redirecting them to the database 124a to improve counterfeit identification and enhance market intelligence. The system 100b includes a third computing device 102b, a fourth computing device 104b, a network 106b, a scanner 110b, and a third-party server 108b. These components work together to analyze and authenticate QR codes at various checkpoints, including POS terminals, retail locations, and distribution centers. Unlike traditional authentication systems, which only verify pre-registered QR codes, this embodiment allows both authorized and unauthorized QR codes to be scanned and checked against a centralized database, ensuring that counterfeit products using fake machine readable codes may also be identified. By allowing even unauthorized scans to be processed, the system expands its capabilities to track and analyze fraudulent activities, providing real-time counterfeit detection alerts to stakeholders.

[0078] The third computing device 102b, which may be located at a point-of-sale (POS) terminal, may be configured to authenticate machine readable codes during retail transactions. When a customer scans a machine readable code using a POS device, the system retrieves data from the database 124a to validate the product. If the scanned machine readable code is not found in the database 124a or if the metadata (such as geo-coordinates, timestamps, or product details) does not match the registered records, the system flags the product as potentially counterfeit. This flagging mechanism allows retailers, customers, and enforcement authorities to take immediate action before the transaction is completed. Additionally, the system 100b may generate alerts for stakeholders, warning them of unauthorized product listings or sales attempts. The fourth computing device 104b, which may be utilized by small-scale retailers, may be configured to perform authentication before restocking or selling products to end users. Retailers can scan products received from suppliers to verify their legitimacy before placing them on shelves. If an unauthorized or counterfeit machine readable code is detected, the system may log the scanning attempt, capture relevant metadata (such as timestamp and location), and notify product manufacturers and regulators. This feature strengthens supply chain security by ensuring that counterfeit products are detected early in the distribution process, preventing them from reaching consumers.

[0079] In accordance with one or more exemplary embodiments of the present disclosure, the scanner 110b may be configured to capture machine readable codes at multiple checkpoints, including ports, warehouses, and logistics centers. When the machine readable code is scanned, the system analyzes the scanned data and cross-checks it with registered product entries stored in the database 124a. If the system detects inconsistencies in the metadata or determines that the machine readable code does not belong to the authorized registry, it may flag the product for further inspection. This ensures that even unauthorized attempts to introduce counterfeit products into the supply chain are detected and recorded. The scanner 110b may also be used at e-commerce warehouses and customs checkpoints, where products are verified before shipment or international distribution. The network 106b serves as the communication channel, connecting the third computing device 102b, the fourth computing device 104b, the scanner 110b, and the third-party server 108b. It may facilitate real-time authentication requests and verificationprocesses, allowing retailers and regulatory authorities to retrieve authentication results instantly. The network may integrate cloud-based APIs, loT connectivity, and encrypted communication protocols to ensure the secure transmission of verification data. The third-party server 108b may be configured to work with external regulatory bodies and industry partners to enhance fraud detection and market intelligence. When a counterfeit machine readable code is flagged, the third-party server 108b may analyze the scanning attempt and cross-reference the data with other counterfeit detection systems. This allows the system to identify patterns in unauthorized scan attempts, helping product owners and law enforcement agencies track the sources of counterfeit goods. Additionally, the system may generate actionable reports containing detailed analytics on fraudulent scan attempts, which can be used to take legal and regulatory actions against counterfeiters. In accordance with one or more exemplary embodiments of the present disclosure, the system incorporates an advanced verification technique that cross-check all scanned machine readable codes against the database 124 and ensures that even fake or altered machine readable codes are identified and flagged for further analysis. If a scanned machine readable code mimics a registered product but is not authorized, the system may trigger an alert and blacklist the counterfeit code to prevent future use. This approach strengthens counterfeit detection by detecting fraudulent QR codes before they reach consumers. To further enhance counterfeit detection and fraud analytics, the system is designed to log unauthorized machine-readable code scans and record metadata such as location, timestamp, and scanning device information. This allows product manufacturers to analyze counterfeit distribution patterns and take proactive steps to prevent future incidents. The data analytics module integrated into the system may generate trend reports on unauthorized scan attempts, providing stakeholders with insights into high-risk areas where counterfeit goods are frequently introduced.

[0080] In accordance with one or more exemplary embodiments of the present disclosure, the system also provides real-time feedback to customers when they scan machine readable codes using a mobile app or POS terminal. If a counterfeit product is detected, the system may immediately display a warning message, informing the customer that the product is not authorized or has been flagged as counterfeit. This real-time interaction ensures that consumers are actively involved in counterfeit prevention, preventing them from unknowingly purchasing fake goods. Additionally, customers can report counterfeit products directly through the app,contributing to crowdsourced intelligence for detecting fraudulent sellers and distributors. The preprinted machine-readable code activation process ensures that only authentic codes are used in the supply chain. However, this feature is expanded to also handle unauthorized machine readable codes, allowing the system to analyze and track fake codes rather than simply rejecting them. This enables authorities to monitor counterfeit trends and adjust security measures based on the latest fraudulent tactics used by counterfeiters. Furthermore, the system may use internetbased mimicry detection algorithms, allowing it to identify machine readable codes that mimic registered codes or attempt to copy product branding. If a scanned machine-readable code contains altered characters or modified product details, the system may compare it against AI-driven phonetic and visual similarity models to determine if it is fraudulent.

[0081] The system introduced in FIG. IB extends the capabilities of product authentication beyond traditional tracking mechanisms, ensuring that unauthorized machine-readable codes are also accounted for and analyzed in real time. By integrating centralized verification, geo-fencing, Al-based similarity detection, and real-time customer feedback, the system ensures that counterfeit products are detected at multiple checkpoints before they reach consumers. Additionally, the system provides retailers, regulatory authorities, and product manufacturers with the tools needed to track fraudulent activity, prevent unauthorized transactions, and enforce supply chain integrity. The combination of POS authentication, retailer verification, and market intelligence analytics establishes a multi-layered security approach, ensuring that only genuine products are distributed, sold, and consumed.

[0082] Referring to FIG. 1C is a block diagram 100c depicting an embodiment of the system for secure product tracking, authentication, and tamper-proof packaging using mobile sealing and handheld printer integration, in accordance with one or more exemplary embodiments. The system 100c introduces a mobile sealing mechanism that ensures machine readable code activation only after successful product sealing, thereby enhancing security and preventing tampering. Additionally, the mobile printer 126c integration allows for real-time machine-readable code generation and dynamic printing at different points in the supply chain. The system 100c includes a first computing device 102a, a second computing device 104a, a network 106a, a mobile sealer 126c, a mobile printer 128c, and a server 118a. The first computing device102a is responsible for machine-readable code activation, while the second computing device 104a is used for product verification and tracking. These computing devices communicate with the server 118a, which includes the product data analysis and authentication module 120a, a database server 122a, and a database 124a for secure data storage and verification processing. The mobile sealer 126c ensures that machine readable code activation occurs only upon successful sealing, capturing metadata such as timestamp, geolocation, and sealing device ID. The mobile printer 128c is responsible for dynamic machine- readable code printing, allowing real-time generation of customized machine-readable codes, which can include product-specific details, batch numbers, and timestamps. The integration of these devices ensures tamper-proof packaging, offline QR code printing, and real-time authentication, making the system highly applicable for industries that require strict security and tracking measures, such as pharmaceuticals, food, and perishable goods.

[0083] In accordance with one or more exemplary embodiments of the present disclosure, FIG.1C presents an embodiment of a secure product tracking and authentication system, which integrates mobile sealing and handheld printing mechanisms to enhance machine readable code activation, verification, and real-time tracking. This embodiment ensures that machine readable codes cannot be activated until successful product sealing is verified, thereby preventing tampering, counterfeiting, and unauthorized use of machine-readable codes. The first computing device 102a may be configured to manage machine readable code activation by communicating with the mobile sealer 126c and the mobile printer 128c. The machine-readable code activation module 114a, stored in memory 112a, ensures that the machine-readable code remains inactive until a valid sealing event is detected. The processor 108a is responsible for executing instructions related to machine readable code activation and linking the generated code to product metadata, including timestamp, geolocation, and sealing status. The camera 110a may be configured to scan product identifiers and validate the sealing status before activation. The second computing device 104a may be configured to track and verify product movements in the supply chain. The product verification and tracking module 116a, stored in memory 112a, ensure that all machine-readable codes are authenticated upon scanning, preventing unauthorized or counterfeit activations. The processor 108a processes the scanned machine-readable code and cross-references it with the database 124a, ensuring that only genuine products are verified atdifferent checkpoints. The mobile sealer 126c plays a crucial role in ensuring tamper-proof packaging. This mobile sealer 126c may be configured to validate product sealing in real-time, capturing metadata such as timestamp, geolocation, and sealing device ID, which is then linked to the QR code before activation. The mobile sealer 126c integrates with the centralized server 118a to synchronize sealing data, ensuring that only securely packaged products are authenticated. The mobile sealing device 126c may operate offline, storing metadata locally and syncing it with the server 118a upon reconnection. This feature is particularly beneficial for industries that require strict security and compliance measures, such as pharmaceuticals, food safety, and high-value products. The mobile printer 128c is another key component in the system, enabling real-time machine readable code printing. This mobile printer 128c may be configured to generate and print machine-readable codes dynamically, integrating with handheld devices through Bluetooth, Wi-Fi, or USB connectivity. The mobile printer 128c allows for on-demand or batch printing of QR codes, ensuring flexibility in packaging and product labeling. Additionally, the mobile printer 128c supports offline printing, storing data locally until a connection with the centralized server 118a is re-established for synchronization. The network 106a facilitates secure communication between the computing devices, mobile sealer 126c, mobile printer 128c, and centralized server 118a. The network 106a enables real-time machine-readable code activation, metadata transmission, and synchronization of authentication data. The system may utilize secure communication protocols such as loT networks, cloud-based APIs, and encrypted data exchanges to ensure high-level security and integrity in the verification process. The server 118a is responsible for storing, analyzing, and authenticating product data. It comprises a product data analysis and authentication module 120a, a database server 122a, and a database 124a. The product data analysis and authentication module 120a processes machine readable code activation requests, verifies sealing metadata, and ensures compliance with security protocols. The database 124a securely stores all generated machine-readable codes, product metadata, and transaction history, ensuring traceability and accountability. In accordance with one or more exemplary embodiments of the present disclosure, the workflow of the mobile sealing and printing integration functions as follows: The mobile sealing device 126c verifies successful sealing and captures essential metadata, including timestamp, geolocation, and sealing device ID. The sealing event triggers the machine-readable code generation module in the connected system, ensuring that the code is activated only for properly sealed products. Theactivated machine-readable code generation module code is transmitted to the mobile printer, where it is dynamically printed for labelling. The mobile printer integration allows users to customize machine readable codes in real-time, embedding product-specific details such as batch numbers, expiry dates, and location data before printing. This feature ensures that machine readable codes are dynamically generated and uniquely tied to the product's lifecycle, preventing duplication and counterfeiting.

[0084] The system's tamper-proof packaging mechanism enhances security by embedding a unique sealing identifier into the activated machine-readable code, ensuring that the product cannot be opened, resealed, or counterfeited without detection. If any tampering is detected, the system may flag the machine-readable code, notify stakeholders, and prevent further processing. In addition to real-time processing, the system supports offline operations, ensuring that machine readable code activation, sealing metadata capture, and printing can still function without an immediate internet connection. Once connectivity is restored, the system synchronizes all stored data with the database 124a, maintaining full auditability and compliance. This FIG. 1C embodiment is particularly beneficial for industries requiring strict authentication and tracking measures, such as pharmaceuticals, food safety, high-value merchandise, and perishable goods. By integrating mobile sealing devices and handheld printers, the system ensures tamper-proof product authentication, real-time tracking, and seamless synchronization with centralized verification platforms. In conclusion, FIG. 1C provides an advanced system for product tracking and authentication, leveraging mobile sealing, dynamic machine-readable code generation, and handheld printing technologies. By ensuring that machine readable codes are activated only after successful sealing and embedding critical metadata into machine-readable codes, the system strengthens supply chain security, prevents counterfeiting, and enhances traceability across industries.

[0085] In accordance with one or more exemplary embodiments of the present disclosure, a realtime machine-readable code printing and sealing system is introduced to integrate machine-readable code printing directly into the product packaging process. This embodiment ensures that machine-readable codes are applied seamlessly during the common printing phase of product packaging, reducing additional processing time while ensuring secure product tracking andauthentication. The system utilizes the mobile printer 128c and mobile sealer 126c to dynamically generate and apply unique machine-readable codes onto products such as milk packets, bottled water, pharmaceuticals, and other perishable goods. Unlike pre-printed machine-readable codes, which are generated in advance and later applied, this approach enables on-demand machine-readable code printing, ensuring that each package receives a unique, traceable, and tamper-proof authentication code at the time of production. Real-Time Printing and Sealing Workflow Integration with Common Printing Process. The mobile printer 128c is integrated with the existing packaging system, allowing machine-readable codes to be printed in real time alongside other product details such as expiry date, batch number, and manufacturing details. This ensures that machine-readable codes are embedded as part of the product label, eliminating the risk of label switching, tampering, or unauthorized code replacement. On-Demand Machine-Readable Code Generation. The system communicates with the database 124a to generate a unique identifier (UID) for each product package. This UID is then converted into a machine-readable code and printed directly onto the packaging material using the mobile printer 128c. The machine-readable code is encrypted and stored in the database 124a, ensuring that only authentic products are registered in the supply chain. Sealing and Activation Process After printing, the mobile sealing device ensures that the product is securely sealed before the machine-readable code is activated. The sealing machine validates product integrity and triggers activation of the machine-readable code in the backend system, preventing unauthorized use of unsealed products. Tamper-Proof & Geo-Fenced Activation. The system ensures that machine-readable codes remain inactive until the product is sealed and verified at the manufacturing facility. Activation is permitted only within a predefined geo-fenced location, ensuring that counterfeiters cannot replicate or activate machine-readable codes outside the authorized production site. If an unauthorized attempt is made to scan or activate the code before sealing, the system flags the attempt as suspicious and notifies stakeholders. Advantages of Real-Time Machine-Readable Code Printing and Sealing Eliminates the need for pre-printed stickers, reducing manufacturing complexity and costs. Ensures real-time tracking and authentication by generating machine-readable codes dynamically. Prevents counterfeiting and unauthorized duplication by integrating machine-readable codes directly into the packaging process. Enhances supply chain security by ensuring that machine-readable codes are linked to sealed, verified products. Increases efficiency in industries such as dairy, bottled water, pharmaceuticals, andperishable goods, where product packaging and tracking require real-time authentication. This embodiment introduces an advanced security layer to the existing mobile printer and sealer system, ensuring that product authenticity is verified at the point of packaging. By integrating machine-readable code printing into the common printing process, the system enhances traceability, supply chain security, and counterfeit prevention in a seamless and efficient manner.

[0086] In accordance with one or more exemplary embodiments of the present disclosure, the first computing device 102a may include a machine-readable code activation module 114a. The machine-readable code activation module 114a may be configured to enable a manufacturer to register on the system by submitting product details, regulatory compliance documents, geolocation data, and other credentials for requesting preprinted machine-readable codes for products, the machine- readable code activation module 114a transmits the manufacturer request with product details and geolocation data to the server 118a over a network 106a. The server 118a may include the product data analysis and authentication module 120a. The product data analysis and authentication module 120a may be configured to receive the manufacturer request with product details and geolocation data from the first computing device 102a. The product data analysis and authentication module 120a may be configured to generate machine-readable codes associated with a geo-fencing activation link, ensuring activation occurs only at an authorized location, each machine-readable code is linked to product metadata, batch information, and geofencing activation parameters, and store the generated machine-readable codes with unique identifiers in a database 124a. The product data analysis and authentication module 120a transmit the generated machine-readable codes with geo-fencing activation parameters to the first computing device 102a over the network 106a. The machine-readable code activation module 114a on the first computing device 102a may be configured to receive the generated machine-readable codes from the server 118a and enable the manufacturer to utilize machine-readable codes at least one of the following procedures: printing the machine-readable codes directly onto product packaging during the standard packaging and labeling process, ensuring seamless integration with existing manufacturing workflows; generating labels embedded with authentication mechanisms, wherein the machine-readable codes are preprinted on a stickerbased two-layer structure and affixed to the product, ensuring tamper-proof authentication and counterfeit prevention. The machine-readable code activation module 114a on the firstcomputing device 102a enables the manufacturer to activate the machine- readable codes using a geo-fencing activation link, the machine- readable code activation module 114a determines the manufacturer's geolocation coordinates at the time of activation and transmits the manufacturer’s geolocation coordinates to the server 118a for verification, the product data analysis and authentication module 120a on the server 118a cross-checks the received coordinates against the pre-registered activation location stored in the database 124a when the manufacturer’s geolocation coordinates match the pre-registered activation location, the machine-readable code is activated, and a timestamp is recorded and stored as an active record in the database 124a, when the manufacturer’s geolocation coordinates do not match the pre-registered activation location, the machine-readable code activation module 114a restricts activation and prevents further use outside the authorized location.

[0087] The second computing device may include the product verification and tracking module 116a. The product verification and tracking module 116a may be configured to enable users, retailers, dealers, and stakeholders to scan and verify the machine-readable code at various checkpoints in the supply chain using a scanning device, the product verification and tracking module is configured to authenticate the product’s legitimacy by cross-referencing the scanned machine-readable code against the server database in real-time and identify counterfeit attempts using Al-based counterfeit detection and mimicry identification, the Al algorithms analyze product names, packaging details, and phonetic / spelling similarities to detect fraudulent attempts and the product verification and tracking module flags unauthorized codes that mimic registered products and notifies stakeholders of counterfeit risks. The third computing device may include the POS product authentication module 118b, the POS product authentication module 118b may be configured to authenticate products at the point of sale before a transaction is completed, ensuring that only valid machine-readable codes are processed and validated scanned machine-readable codes against the server database to prevent the sale of counterfeit products, wherein the POS product authentication module configured to handle unauthorized machine-readable codes by redirecting them to the database, wherein the product data analysis and authentication module on the server when a scanned code is not recognized, the product data analysis and authentication module logs metadata, including location, timestamp, and device ID and generates a real-time alert to notify product owners, retailers, and regulatory authorities. The fourth computing device1may include a retail product authentication module 120b, the retail product authentication module 120b may be configured to verify the authenticity of products before they are stocked or sold at the retailer level by cross-referencing machine-readable codes with backend records on the server. The server 118a may include the product data analysis and authentication module, the product data analysis and authentication module 120a may be configured to provide heatmapbased sales analytics and consumer insights, the Geo-tagged machine-readable code scan data is collected to analyze product movement, sales performance, and consumer behavior, thereby generating heatmaps to visualize high-demand zones, low-sales areas, and market penetration, allowing stakeholders to optimize marketing and distribution strategies. The user interface module 312a on the second computing device 104a may be configured to provide real-time product tracking and verification through an interactive dashboard, allowing users to monitor product status, scan history, and alerts, the user interface module 312a may be configured to enable product categorization and management, the scanned products are organized by manufacturer, category, and purchase history and user receive expiry alerts, warranty details, and recall notifications directly from manufacturers.

[0088] Referring to FIG. 2 is a block diagram 200 depicting an embodiment of the machine-readable code activation module 114a as shown in fig. 1A, in accordance with one or more exemplary embodiments. The machine-readable code activation module 114a includes a registration module 202, a machine-readable code request module 204, a location validation module 206, a device authorization and secure access module 208, a sealing machine integration module 210, a geo-fenced activation link validation module 212, an audit logging and tamper prevention module 214, a mobile sealing and printer communication module 216, and a printer integration module 218.

[0089] The registration module 202 may be configured to enable manufacturers, distributors, and authorized stakeholders to register on the system. Before a stakeholder can generate or activate machine-readable codes, they must complete the registration process by providing product details, business credentials, regulatory compliance documentation, authorized personnel details, and activation location approvals. The system verifies these credentials against government databases, compliance authorities, and internal security policies before granting access.Additionally, an administrative dashboard is provided for registered users to manage machine-readable code requests, monitor activation history, and configure security settings. The machine-readable code request module 204 may be configured to allow registered manufacturers to request one or more machine-readable codes for their products. When the manufacturer submits a request through the first computing device, they provide product-specific details such as product name, batch number, license information, and geo-location details. This request is transferred to the server 118a, where the server 118a generates machine-readable codes and associates them with the provided product details. The server 118a process then assigns a unique identifier (UID) to each generated machine-readable code and embeds a geo-fencing activation link. The generated machine-readable codes are then sent back to the first computing device 102a. The activation process requires the manufacturer to activate the machine-readable code within the pre-approved geo-fenced location. The system validates the activation attempt, ensuring it occurs only in the designated location before allowing the code to become active. This process prevents fraudulent activations outside authorized areas.

[0090] The location validation module 206 may be configured to verify the geographic coordinates of an activation request before allowing the machine-readable code activation. The location validation module 206 may utilize GPS, IP-based geolocation, cellular triangulation, and network-based location verification to confirm whether an activation attempt originates from an authorized zone. The system cross-references the activation request with pre-approved manufacturing plants, warehouses, or distribution centers. If an activation attempt occurs from an unauthorized location, the request is immediately blocked, and an alert is generated for security teams and regulatory authorities. The device authorization and secure access module 208 may be configured to restrict machine-readable code activation to pre-approved devices and personnel. The system maintains a whitelist of trusted devices, identified by IMEI numbers, MAC addresses, or digital certificates. The device authorization and secure access module 208 may also support multi-factor authentication (MFA), requiring users to authenticate using biometric verification, security tokens, or encrypted access keys before activation is granted. If an unauthorized device attempts to activate a machine-readable code, an alert is triggered, and the device may be blacklisted from future access. The sealing machine integration module 210 may be configured to link machine-readable code activation with the product sealing process. Theactivation process is restricted until the product is properly sealed within the packaging line. The system retrieves sealing metadata, including timestamp, batch number, and sealing confirmation ID, ensuring that only properly sealed products receive activated machine-readable codes. If the sealing process fails validation, the machine-readable code remains inactive, preventing unauthorized or fraudulent activations before final packaging is completed. The geo-fenced activation link validation module 212 may be configured to restrict machine- readable code activation based on predefined geographic regions. Each machine-readable code includes an activation link that is embedded with geo-restrictions, ensuring that activation can only occur within predefined locations, such as manufacturing plants, authorized warehouses, or distribution centers. When an activation request is made, the system verifies geo-coordinates, network parameters, and environmental factors before allowing activation. If an activation attempt is detected outside the designated geo-fenced region, the request is denied, and an alert is sent to relevant stakeholders.

[0091] The audit logging and tamper prevention module 214 may be configured to record every activation attempt, providing a tamper-proof digital audit trail. Each log entry includes device details, user credentials, geo-location, timestamp, and activation status. If irregularities such as multiple failed activation attempts, suspicious activation locations, or unauthorized access patterns are detected, the system can initiate security countermeasures, such as temporarily suspending activation privileges or permanently blocking flagged accounts. Additionally, the module can integrate with blockchain technology to ensure activation logs remain immutable and auditable for regulatory compliance. The mobile sealing and printer communication module 216 may be configured to enable seamless communication between mobile sealing devices and handheld printers. The mobile sealing and printer communication module 216 ensures that machine-readable codes are activated and printed in real-time, only after the product has been sealed successfully. To prevent fraudulent activations, the module enforces one-time-use activation protocols, ensuring that each machine-readable code is uniquely generated, printed, and assigned to a single product. This module also supports offline activation, allowing local data storage and synchronization with the central database upon reconnection. The printer integration module 218 may be configured to integrate handheld, mobile, and industrial-grade printers to enable real-time printing of machine-readable codes. Supporting multiple connectivityoptions, such as Bluetooth, Wi-Fi, USB, and loT-based connections, the printer integration module 218 allows manufacturers to print machine- readable codes dynamically at various checkpoints in the supply chain. To enhance security, the module encrypts machine-readable code data before printing, preventing unauthorized duplication. Additionally, it ensures that printed machine-readable codes contain embedded metadata, such as product details, activation timestamp, and location information, improving supply chain transparency and authentication. The printer integration module 218 may be configured to support dynamic printing of machine-readable codes using handheld printers connected via Bluetooth, Wi-Fi, or USB. This ensures flexibility in various operational environments, allowing manufacturers, distributors, and retailers to generate and print machine-readable codes in real-time, regardless of location. The printer integration module 218 may also be configured to: Enable wireless printing via Bluetooth and Wi-Fi, allowing seamless integration with mobile devices and tablets for on-the-go product labeling. Support wired USB connectivity for high-security printing environments, ensuring that machine-readable codes cannot be intercepted or modified during transmission. Facilitate batch printing of machine-readable codes, allowing businesses to generate and print large quantities of authentication labels at once. Ensure real-time customization of printed codes, embedding dynamic data such as batch numbers, expiry dates, geolocation, and regulatory compliance details. Provide offline printing support, allowing codes to be printed without an active network connection and later synchronized with the backend database when connectivity is restored. The Printer Integration Module 218 may integrate with cloud- based authentication services, allowing remote stakeholders to monitor and approve code printing in real-time. The printer integration module 218 may be configured to facilitate the real-time generation and printing of dual machine-readable codes at designated packing locations. The printer integration module 218 may also be configured to enforce geofencing restrictions, ensuring that dual machine-readable code printing can only occur at pre-authorized locations. The system may verify the geographical coordinates and device authorization status before allowing the printing process, thereby preventing unauthorized replication of machine-readable codes outside designated facilities. The printer integration module 218 may also be configured to automate the printing process, ensuring that both the outer packaging machine readable code and the inner product machine readable code are printed in a synchronized manner. This ensures that each dual machine-readable codepair remains consistent with its respective product and batch metadata, preventing misalignment or tampering.

[0092] Referring to FIG. 3A is a block diagram 300a depicting an embodiment of the product verification and tracking module 116a as shown in fig. 1A, in accordance with one or more exemplary embodiments. The product verification and tracking module 116a includes a scanning and verification module 302a, an authentication module 304a, an Al-based counterfeit detection module 306a, a warranty verification module 308a, a notification module 310a, and a user interface module 312a.

[0093] The scanning and verification module 302a may be configured to enable users, retailers, and other stakeholders to scan machine-readable codes for product verification. The scanning and verification module 302a may support various scanning methods, including mobile device cameras, handheld scanners, and POS- integrated barcode readers. The scanning and verification module 302a may also be configured to extract encoded product information from the machine-readable code, including product details, batch number, expiry date, timestamp details, manufacturer information, and activation status. The extracted data is cross-referenced with the backend database 124a to verify the product’s legitimacy. The scanning and verification module 302a may also be configured to prevent unauthorized or duplicate scans by logging each scanning attempt. If multiple scans occur from an unverified source, the system can trigger an alert to notify administrators of potential counterfeit activity. The authentication module 304a may be configured to validate the scanned machine-readable code by cross-checking the encoded product details against records stored in the backend database 124a. If the scanned data matches a legitimate record, the product is verified as authentic. The authentication module 304a also be configured to detect discrepancies in product metadata, such as mismatched batch numbers, invalid activation timestamps, or unauthorized geo-coordinates. If any inconsistencies are detected, the system may flag the machine-readable code as suspicious and restrict further transactions involving that product. The authentication module 304a may also be configured to support multi-layered verification, including Geo-tagged authentication, ensuring the product is scanned in an authorized location. Time-based authentication, verifying if the product is being scanned within its validity period. Tamper-proof verification, detecting whether the machine-readable code has been altered or copied from a different product. If an authentication failure occurs, the system can redirect the user to a counterfeit reporting platform for further investigation. The Al-based counterfeit detection module 306a may be configured to leverage artificial intelligence and machine learning algorithms to detect fraudulent and counterfeit products based on scanning patterns, metadata inconsistencies, and historical trends. The AI-based counterfeit detection module 306a may also be configured to identify potential counterfeiting attempts by analyzing abnormal scan behaviors, such as multiple activations of the same machine-readable code, unauthorized location scans, or inconsistencies in manufacturing data. The Al-based counterfeit detection module 306a may also be configured to utilize image recognition algorithms to detect counterfeit packaging, label discrepancies, or unauthorized modifications. Analyze historical sales and scanning trends to flag suspicious market activities. Compare scanned data with registered product catalogs to detect brand infringement and product imitation attempts. If a counterfeit attempt is detected, the system may trigger real-time alerts to notify the manufacturer, regulatory bodies, and law enforcement agencies. The flagged product may also be blacklisted in the database, preventing future counterfeit transactions. The warranty verification module 308a may be configured to validate the product’s warranty status upon scanning. The warranty verification module 308a retrieves warranty-related details from the backend database, including warranty activation date, expiration date, terms, and service eligibility. The warranty verification module 308a may also be configured to enable users to register product warranties by scanning machine-readable codes upon purchase. The warranty verification module 308a may notify users of upcoming warranty expiration dates to encourage timely service requests or warranty extensions. The warranty verification module 308a may prevent fraudulent warranty claims by ensuring that only valid and authorized products are eligible for warranty services. The warranty verification module 308a may integrate with authorized service centers, enabling consumers or users to initiate service requests or file warranty claims directly through the system interface.

[0094] The notification module 310a may be configured to send real-time alerts and updates to manufacturers, retailers, and consumers regarding scanned machine-readable codes. The notification module 310a ensures that stakeholders are promptly informed about authentication results, warranty statuses, product expiry alerts, and potential counterfeit risks. The notificationmodule 310a may also be configured to send instant alerts for counterfeit or flagged products detected through scanning, consumer notifications regarding warranty registration, expiration, and renewal options, retailer alerts when scanning a restricted or expired product, manufacturer notifications regarding unusual scanning activity or potential fraud attempts. The Notifications may be delivered through SMS, email, push notifications, or web-based alerts, ensuring seamless communication across all stakeholders. The user interface module 312a may be configured to provide a seamless and interactive dashboard for users, allowing them to access product verification data, scan history, authentication results, and warranty details. The user interface module 312a may be configured to display real-time scan results, indicating whether a product is genuine, counterfeit, or flagged for review, enable users to submit counterfeit reports, allowing consumers to notify manufacturers of fraudulent items, provide an interactive product dashboard where users can track past scans, warranty details, and product authenticity history, and offer multilingual support and accessibility options to cater to a diverse user base. The user interface module 312a may integrate with mobile apps, retailer POS systems, and online portals, ensuring cross-platform accessibility for product verification and tracking. The user interface module 312a may be configured to enable consumers, retailers, and stakeholders to scan machine-readable codes for real-time authentication, warranty verification, and product information access. The user interface module 312a enhances user engagement by allowing direct interaction with the authentication system. The user interface module 312a may also be configured to: enable consumers to scan machine-readable codes via a mobile app or web interface, retrieving detailed product authentication results, batch details, and regulatory compliance status. Provide warranty registration options, allowing consumers to register products upon scanning and receive warranty updates via email or app notifications. Detect counterfeit scans and redirect consumers to verification pages, where they can report suspicious products and receive alerts if a product is flagged as counterfeit. Allow users to access product recalls and safety notifications, ensuring that defective or counterfeit products are immediately reported to manufacturers. Offer multilingual support, ensuring that global users can authenticate products in their preferred language. The user interface module 312a module may integrate with customer feedback systems, allowing users to rate and review authenticated products, ensuring brand transparency and engagement.

[0095] Referring to FIG. 3B is a block diagram 300b depicting an embodiment of the user interface module as shown in fig. 3A, in accordance with one or more exemplary embodiments. The user interface module includes an interactive dashboard module 302b, a product categorization and management module 304b, an advanced product categorization module 306b, a visual Ui-based categorization module 308b, a product ownership transfer module 310b, and a data privacy and compliance module 312b.

[0096] The interactive dashboard module 302b may be configured to provide users with a realtime, visual interface displaying product verification statuses, authentication history, warranty information, and notifications. The interactive dashboard module 302b may serve as the central hub for users, allowing them to track machine-readable code scans, check for counterfeit warnings, and view transaction logs. The interactive dashboard module 302b may also be configured to provide real-time scanning results with color-coded indicators (e.g., Green for authentic, Red for counterfeit, Yellow for suspicious scans), and display historical scan records, enabling users to track their previously scanned products along with timestamps and locations. The interactive dashboard module 302b may also be configured to generate alerts for warranty expiration, counterfeit warnings, and product recalls, ensuring proactive consumer engagement, and enabling multi-device access, allowing users to log in from smartphones, tablets, and desktops to access their verification history seamlessly. Additionally, the interactive dashboard module 302b may be configured to provide customized data visualization such as pie charts and heatmaps to help users understand scanning trends, product authenticity ratios, and flagged counterfeit reports. The interactive dashboard module 302b may be configured to provide a realtime interface for users, enabling them to view, categorize, and manage scanned product data. The interactive dashboard module 302b may also be configured to display real-time notifications, including product authentication alerts, warranty reminders, service requests, and promotional updates from manufacturers or retailers. Additionally, the dashboard may provide graphical representations of product verification history, allowing users to track product movements, activation statuses, and usage patterns. The product categorization and management module 304b may be configured to systematically organize scanned machine- readable codes under respective product categories. Users can view, filter, and manage their verified products based on industry-specific classification, ensuring efficient tracking and record-keeping. Theproduct categorization and management module 304b may also be configured to group products based on predefined categories, such as food, pharmaceuticals, electronics, and fashion, and allow users to apply custom labels to organize scanned products according to personal preferences (e.g., "Office Equipment," "Personal Items," "Wholesale Stock"). The product categorization and management module 304b may also be configured to enable batch tracking, where users can manage multiple products under the same batch or manufacturing date, and integrate search and filter functionalities, allowing users to quickly locate products using keywords, batch numbers, or expiry dates. The categorization feature ensures that users can efficiently track warranties, re-order products, and report counterfeit items based on structured product grouping. The product categorization and management module 304b may be configured to automatically classify scanned product data under the respective company name, ensuring that users can maintain a categorized history of all scanned products. The product categorization and management module 304b may also be configured to support multi-level categorization, enabling products to be grouped under broad categories (food, medicine, electronics, apparel) and further divided into subcategories (snacks, beverages, prescription drugs, etc.) for streamlined navigation. The product categorization and management module 304b may be configured to integrate with point-of-sale (POS) systems to automatically fetch product details, purchase history, and real-time stock updates from authorized retailers.

[0097] The advanced product categorization module 306b may be configured to introduce a hierarchical and sub-category-based classification of products. Unlike basic categorization, the advanced product categorization module 306b provides multi-level grouping, allowing users to classify products under broader categories and then drill down into more specific subcategories. The advanced product categorization module 306b may be configured to enable automatic subcategorization based on product metadata (e.g., within the "Electronics" category, products may be further classified as "Smartphones," "Laptops," and "Accessories") and support industryspecific compliance labeling, ensuring that regulated products such as pharmaceuticals and food items are categorized according to legal standards and safety regulations. The advanced product categorization module 306b may be configured to assign dynamic product tags, allowing users to track discounts, batch recalls, or new arrivals under specific labels and facilitate predictive product grouping, where Al-driven analytics suggest potential subcategories based on scanningpaterns and user preferences. By implementing an advanced hierarchical categorization, this module enhances traceability, inventory organization, and regulatory compliance. The advanced product categorization module 306b may be configured to provide a structured classification system that allows users to customize product categories and subcategories based on personal preferences. Users may be able to tag products with custom labels, such as "Frequent Purchases," "Favorites," or "Under Warranty" for enhanced organization. The advanced product categorization module 306b may also be configured to enable batch categorization, allowing users to bulk-update product categories for improved usability. The visual Ul-based categorization module 308b may be configured to introduce a visually intuitive layout that enhances the user experience in navigating product data. Instead of traditional text-based lists, the visual Ul-based categorization module 308b organizes products in an icon-based, grid, or graphical format, improving accessibility and engagement. The visual Ul-based categorization module 308b may also be configured to Display product categories using industry-specific icons (e.g., a pill botle icon for pharmaceuticals, a shirt icon for apparel, and a smartphone icon for electronics), provide a swipe-and-tap interface, making it easy for users to navigate scanned products on mobile devices, introduce color-coded status indicators, allowing users to quickly identify active warranties, expired products, or counterfeit alerts, and enable drag-and-drop product organization, allowing users to manually reassign scanned items to different categories or folders. By offering aesthetic and functional UI elements, this module significantly improves user engagement, accessibility, and ease of product management. The visual Ul-based categorization module 308b may be configured to display categorized products in an interactive, icon-based interface. This module may support clickable product categories represented by visually distinct icons, allowing users to quickly navigate their product history. The visual Ul-based categorization module 308b may also be configured to provide a scrolling, companyspecific product listing, similar to a contact-based layout, making it easier for users to locate previously scanned products based on manufacturer or distributor. The product ownership transfer module 310b may be configured to enable seamless transfer of product verification data from one user to another. This is especially useful for gifted, resold, or reassigned products, ensuring that the new owner can access warranty details, authenticity verification, and service history. The product ownership transfer module 310b may be configured to facilitate ownership transfer via machine readable code scanning, where the original owner can transfer product datato the new owner with a single scan, support time-based transfer approvals, allowing original owners to restrict transfers within a defined timeframe to prevent unauthorized reassignments. The product ownership transfer module 310b may be configured to ensure that transferred products retain their authenticity status, avoid duplicate registrations or counterfeit insertions, and maintain a full transfer log, ensuring traceability and compliance with ownership policies. The ownership transfer feature is particularly critical for high-value goods, electronics, and warranty-protected items, ensuring that authenticity tracking remains intact across multiple owners. The product ownership transfer module 310b may be configured to allow users to transfer product ownership to another user, such as when a product is gifted, resold, or transferred. This module may also be configured to synchronize ownership changes in real time, ensuring that the new owner gains full access to warranty details, product history, and service options. Furthermore, the product ownership transfer module 310b may be configured to support multi-stage verification, ensuring that ownership transfers are legitimate and authenticated before being finalized.

[0098] The data privacy and compliance module 312b may be configured to ensure that all user interactions, product scans, and ownership transfers adhere to global privacy regulations and security standards. The data privacy and compliance module 312b may be configured to encrypt all stored product data, preventing unauthorized access to user verification logs and enable user-controlled privacy settings, allowing users to decide whether their scanned products remain public or private. Ensure GDPR, CCPA, and other regional compliance, protecting consumer rights and data confidentiality. The data privacy and compliance module 312b may be configured to allow selective data sharing, enabling users to grant or revoke access to product data for retailers, manufacturers, or third-party service providers. Integrate multi-layer authentication for high-security accounts, preventing unauthorized modifications to product verification history. The data privacy and compliance module 312b may be configured to ensure that all scanned product data is encrypted and securely stored. This module may also be configured to allow users to manage their data privacy preferences, including: Opting in or out of promotional notifications. Enabling or disabling warranty tracking and service alerts. Controlling data sharing permissions with manufacturers and third parties. Additionally, the data privacy and compliance module 312b may be configured to enforce regulatory compliance by ensuring that user data ishandled in accordance with global privacy laws, such as GDPR, CCPA, and other consumer data protection frameworks. The user interface module (312a) provides a structured, interactive, and visually engaging platform for users to manage their scanned machine-readable codes, verify product authenticity, track warranties, and ensure data privacy. By incorporating advanced categorization, ownership transfer, and security mechanisms, this module significantly enhances user experience, supply chain transparency, and compliance management. Industries such as pharmaceuticals, electronics, luxury goods, and consumer products can benefit from this intelligent and highly secure UI framework, ensuring efficient product tracking, counterfeit detection, and seamless warranty verification.

[0099] Referring to FIG. 4 is a block diagram 400 depicting an embodiment of the POS product authentication module 118b as shown in fig. IB, in accordance with one or more exemplary embodiments. The POS product authentication module 118b includes a POS scanning validation module 402, a fraud prevention and blacklist enforcement module 404, a geo-tagged transaction monitoring module 406, a consumer authentication feedback module 408, and a data logging and compliance tracking module 410.

[0100] The POS scanning validation module 402 may be configured to authenticate machine-readable codes when scanned at POS terminals. The POS scanning validation module 402 ensures that only valid and authorized machine-readable codes are accepted for transaction processing, preventing counterfeit products from entering the supply chain at the retail level. The POS scanning validation module 402 may also be configured to instantly verify machine-readable codes against the centralized database 124a before completing a sale, and validate product details, including batch number, expiration date, manufacturer, and regulatory compliance, ensuring that products meet industry standards before they are sold. The POS scanning validation module 402 may be configured to detect duplicate scans, preventing machine-readable codes from being reused fraudulently on multiple products, and restrict POS transactions for blacklisted or expired products, ensuring that only valid and authorized machine-readable codes can proceed with the sale. The POS scanning validation module 402 may be integrated with mobile POS systems and handheld scanners, ensuring flexibility in retail environments, including both large-scale stores and small-scale retailers. The fraud preventionand blacklist enforcement module 404 may be configured to prevent the sale of counterfeit products, unauthorized goods, or blacklisted items at the POS terminal. The fraud prevention and blacklist enforcement module 404 acts as a security enforcement layer, preventing fraudulent transactions before they occur. The fraud prevention and blacklist enforcement module 404 may also be configured to enforce real-time blacklist checks, ensuring that products flagged for fraud, counterfeiting, or regulatory violations are blocked at the POS, and detect mismatches between machine-readable code metadata and the scanned product, identifying potential product swapping or counterfeit infiltration attempts. The fraud prevention and blacklist enforcement module 404 may also be configured to prevent unauthorized reselling, ensuring that products intended for a specific distribution channel cannot be diverted for illicit resale, and automatically report blacklisted transactions, sending real-time fraud alerts to retailers, manufacturers, and regulatory authorities for immediate investigation. The fraud prevention and blacklist enforcement module 404 may utilize Al-driven fraud detection algorithms to analyze POS transaction trends, identifying suspicious activities that may indicate organized counterfeit operations or supply chain breaches. The geo-tagged transaction monitoring module 406 may be configured to track and analyze the location of POS transactions in real-time, ensuring that product sales align with authorized retail locations and distribution agreements. The geo-tagged transaction monitoring module 406 may be configured to embed geo-location data within each scanned machine-readable code, enabling transaction tracking across multiple retail locations, and detecting unauthorized retail activity, ensuring that products are not sold outside their designated regions or in unapproved markets. The geo-tagged transaction monitoring module 406 may be configured to monitor sales trends across different geographic locations, enabling manufacturers and retailers to optimize inventory distribution based on regional demand and flag high-risk retail zones, identifying locations with a high frequency of counterfeit sales or unauthorized reselling. The geo-tagged transaction monitoring module 406 may integrate with heatmap analytics tools, allowing manufacturers and stakeholders to visualize sales activity, identify emerging counterfeit hotspots, and take proactive measures to mitigate supply chain risks.

[0101] The consumer authentication feedback module 408 may be configured to empower consumers to verify product authenticity and provide feedback on their purchasingexperience. The consumer authentication feedback module 408 may be configured to enhance consumer engagement and allow buyers to actively participate in counterfeit detection efforts. The consumer authentication feedback module 408 may be configured to allow consumers to verify machine-readable codes via a mobile app or POS-integrated interface, ensuring transparency at the point of purchase, and provide real-time feedback prompts, allowing consumers to report potential counterfeit suspicions, defective products, or packaging discrepancies. The consumer authentication feedback module 408 may be configured to enable consumers to receive authenticity confirmation directly on their mobile devices after scanning a product at the POS, and generate alerts for manufacturers and retailers, informing them when a consumer reports a product as suspicious or potentially counterfeit. The consumer authentication feedback module 408 may integrate with loyalty programs, rewarding consumers for verifying products and reporting fraudulent activities, thereby enhancing brand trust and consumer engagement. The data logging and compliance tracking module 410 may be configured to record all POS transactions, ensuring compliance with regulatory standards and providing an auditable history of product authentication. The data logging and compliance tracking module 410 may ensure that retailers, manufacturers, and regulatory bodies have access to a secure transaction record for transparency and accountability. The data logging and compliance tracking module 410 may also be configured to: Store all scanned machine-readable code transactions, including date, time, location, POS terminal ID, and authentication results. Generate compliance reports for manufacturers, retailers, and regulators, ensuring adherence to industry-specific guidelines (e.g., pharmaceuticals, food safety, electronics). Enable forensic investigation of counterfeit sales, allowing authorities to trace fraudulent transactions back to their origin. Ensure data security and integrity, using blockchain or encryption-based storage methods to prevent tampering or unauthorized modifications. Additionally, the data logging and compliance tracking module 410 may integrate with government regulatory databases, ensuring that products scanned at the POS are automatically cross-checked against official compliance records.

[0102] Referring to FIG. 5 is a block diagram 500 depicting an embodiment of the retail product authentication module 120b as shown in fig. IB, in accordance with one or more exemplary embodiments. The retail product authentication module 120b includes a retail stock authentication module 502, a supplier and distributor verification module 504, an expiry date andbatch verification module 506, an unauthorized product detection module 508, and a retailer compliance and inventory reporting module 510.

[0103] The retail stock authentication module 502 may be configured to validate and authenticate products before they are stocked or sold by retailers. The retail stock authentication module 502 ensures that every incoming product at the retailer’s location is genuine, registered, and compliant with supply chain regulations. The retail stock authentication module 502 may also be configured to: scan and verify machine-readable codes of products before placing them on shelves, ensuring that they match registered records. Validate stock origin, ensuring that all products received at retail stores have been sourced from authorized suppliers. Monitor stock entry logs, tracking when and where each product enters the retailer’s inventory system. Prevent the sale of blacklisted or counterfeit products, flagging items that have been reported as fraudulent, expired, or tampered with. The retail stock authentication module 502 may integrate with point-of-sale (POS) systems, allowing retailers to verify authenticity at the time of stock intake and sale. The supplier and distributor verification module 504 may be configured to authenticate suppliers and distributors before allowing products into the retail system. The supplier and distributor verification module 504 ensures that retailers receive stock only from approved and verified supply chain entities, preventing unauthorized suppliers from distributing counterfeit or low-quality goods. The supplier and distributor verification module 504 may also be configured to: Cross-check supplier details against a database of registered manufacturers and distributors. Validate purchase orders, ensuring that only authorized retailers can receive shipments from designated distributors. Detect unauthorized third-party resellers, preventing counterfeiters from inserting fraudulent goods into the supply chain. Integrate with government and regulatory databases, ensuring that supplier licenses and compliance certificates are up-to-date. The supplier and distributor verification module 504 module may be configured to generate alerts if a retailer attempts to receive stock from an unverified or blacklisted supplier, ensuring complete traceability and compliance enforcement.

[0104] The expiry date and batch verification module 506 may be configured to validate product expiration dates, batch numbers, and manufacturing details, ensuring that retailers do not stock expired, tampered, or low-quality products. The expiry date and batch verification module506 may also be configured to: Verify expiration dates automatically during stock intake, ensuring that expired or soon-to-expire products are flagged. Check batch numbers against manufacturer databases, preventing fraudulent or duplicate batch numbers from being introduced. Alert retailers when stocking products close to their expiration dates, allowing them to prioritize sales or return unsellable stock. Detect mismatches in batch data, ensuring that tampered or repackaged products are identified before reaching consumers. The expiry date and batch verification module 506 may be integrated with Al-powered analytics to predict expiration trends and optimize inventory rotation strategies, reducing waste and enhancing compliance. The unauthorized product detection module 508 may be configured to identify products that have been illegally inserted into the supply chain or bypassed standard authentication checks. The unauthorized product detection module 508 may also be configured to detect counterfeit products by comparing scanned machine-readable codes against an authorized product database. Identify unauthorized imports, ensuring that products match the correct regional regulatory standards. Check for duplicate or cloned machine-readable codes, flagging attempts to fraudulently copy registered product identifiers. Prevent gray market sales, ensuring that products are distributed only within their approved regions and retailer networks. The unauthorized product detection module 508 may be configured to send reports to manufacturers and regulators whenever unauthorized product activity is detected, allowing authorities to track counterfeit distribution networks. The retailer compliance and inventory reporting module 510 may be configured to track and report retail stock compliance with industry regulations and best practices. The retailer compliance and inventory reporting module 510 ensure that retailers adhere to proper product authentication, storage, and sales protocols, reducing fraud and supply chain disruptions. The retailer compliance and inventory reporting module 510 may also be configured to: Monitor inventory turnover, ensuring that stock is regularly updated and expired products are removed from shelves. Generate compliance reports for regulators, ensuring that retailers follow legal standards regarding product authentication. Analyze retailer sales trends, allowing manufacturers to optimize distribution strategies and stock allocation. Flag non-compliant retailers, preventing businesses that repeatedly stock counterfeit or unauthorized products from continuing operations. The retailer compliance and inventory reporting module 510 may integrate with automated audit systems, ensuring that retailers adhere to inventory quality standards, legal regulations, and supplier agreements.

[0105] Referring to FIG. 6 is a block diagram 600 depicting an embodiment of the product data analysis and authentication module 120a as shown in fig. 1A, in accordance with one or more exemplary embodiments. The product data analysis and authentication module 120a includes a machine readable code generation module 602, a permanent UID generation module 604, a counterfeit detection module 606, a data storage module 608, an unauthorized machine-readable code detection 610, a dual machine-readable code generation module 612, a dual machine-readable code verification module 614, a dual machine- readable code synchronization module 616, a data analytics modules 618, and a compliance and security module 620.

[0106] The machine-readable code generation module 602 may be configured to generate unique and secure machine-readable codes for each product. These codes can be printed on product packaging, labels, or embedded within the product itself for authentication and tracking. The machine-readable code generation module 602 may also be configured to: Create unique machine-readable codes, ensuring no duplication or fraudulent replication. Assign product metadata such as batch number, production date, and expiration date to each generated code. Embed geo-fencing attributes, ensuring that activation can only occur in pre-authorized locations. Enable different formats of machine-readable codes, including QR codes, barcodes, RFID tags, and encrypted digital identifiers. The machine-readable code generation module 602 may integrate Al-based security protocols to detect and prevent code manipulation, duplication, or forgery. The machine-readable code generation module 602 may be configured to generate machine-readable codes (QR codes, barcodes, or digital identifiers) with customizable branding and product-specific details. The customization process may include embedding company logos, product descriptions, regulatory compliance details, and batch-specific metadata into the generated QR codes. The machine-readable code generation module 602 may also be configured to: Allow manufacturers to predefine machine- readable code templates, ensuring brand consistency across packaging materials. Encode product metadata, including batch number, expiration date, and pricing information, ensuring that every generated machine-readable code carries relevant product details. Support dynamic machine-readable code generation, allowing real-time encoding of promotional offers, warranty registration links, or user engagement features. Integrate with high-resolution printing systems, ensuring that customized machine-readable codes remain scannable and tamper-resistant on packaging materials. The machine-readable code generation module 602 may enable multi-industry adaptability, allowing customization to align with pharmaceutical labeling standards, food safety requirements, and electronic product authentication needs. The machine-readable code generation module 602 may be configured to generate unique machine-readable codes only when a product successfully passes the sealing validation process. The system ensures that the activation of a machine-readable code is dependent on a valid sealing event, preventing premature or unauthorized activations. The machine-readable code generation module 602 may also be configured to: communicate with the sealing machine integration module (210) - fig. 2 to verify that a product is properly sealed before allowing code generation. Embed sealing metadata (timestamp, geolocation, sealing device ID) into the machine-readable code to enhance product traceability. Restrict machine-readable code generation to authorized sealing devices, ensuring that only verified manufacturers or distributors can generate product authentication codes. Dynamically link each generated code to backend security logs, ensuring that each activation is recorded and traceable in case of tampering or fraudulent attempts. Prevent activation of the machine-readable code if sealing metadata is missing or incorrect, ensuring that only securely packaged products enter the supply chain. The machine-readable code generation module 602 may integrate with geo-fencing technology to ensure that the sealing and activation processes occur only within authorized locations. The permanent UID generation module 604 may be configured to assign a unique identifier (UID) to each machine-readable code, ensuring traceability and authentication across its entire lifecycle. The permanent UID generation module 604 may also be configured to: Generate permanent UIDs, ensuring product authenticity from production to sale. Store UID data in the backend database, allowing verification at any stage of the supply chain. Link the UID with product-specific machine-readable codes, ensuring that each code corresponds to a unique product. Prevent duplicate or fraudulent UIDs, ensuring that counterfeiters cannot replicate or reuse serial numbers. The permanent UID generation module 604 may integrate blockchain technology to ensure that UID records are immutable, secure, and tamper-proof. The counterfeit detection module 606 may be configured to identify and flag counterfeit products by analyzing scanned machine-readable codes and product metadata. The counterfeit detection module 606 may also be configured to: Cross-check machine-readable codes against the backend database 124a, identifying mismatched, expired, or fraudulent entries. Detect duplicated or unauthorizedcodes, ensuring that counterfeiters cannot reuse or forge existing product identifiers. Generate automatic alerts for flagged counterfeit activities, notifying manufacturers, retailers, and regulatory bodies. Analyze counterfeit trends, enabling manufacturers to identify high-risk regions and fraudulent supply chain vulnerabilities. The counterfeit detection module 606 may integrate Al-driven similarity detection algorithms, allowing it to recognize altered, replicated, or modified counterfeit labels.

[0107] The data storage module 608 may be configured to securely store all machine-readable code data, product metadata, transaction history, and authentication records. The data storage module 608 may also be configured to: Ensure secure storage of all generated machine-readable codes, preventing unauthorized access. Maintain product history logs, allowing manufacturers to track product movement across the supply chain. Enable encrypted data storage, ensuring that all sensitive product and authentication records are protected from breaches. Support real-time database synchronization, ensuring that all machine-readable code updates reflect instantly across all networked devices. The data storage module 608 may integrate with distributed ledger technology (DLT), ensuring tamper-proof records for compliance and traceability. The data storage module 608 may be configured to store geo-tagged transaction data, ensuring that all scanned machine-readable codes include metadata such as location, timestamps, and checkpoint details (e.g., sea ports, airports, land borders). This allows authorities to track product movement in real-time and flag anomalies in shipment transit. The unauthorized machine- readable code detection module 610 may be configured to identify and log unauthorized attempts to scan, activate, or verify machine-readable codes. The unauthorized machine-readable code detection module 610 may also be configured to: Detect fake or altered machine-readable codes, ensuring that only authorized codes are validated. Identify codes scanned in unauthorized locations, preventing fraudulent product diversions. Blacklist invalid or suspicious codes, blocking counterfeiters from using unauthorized identifiers. Generate fraud detection reports, allowing authorities and manufacturers to track and prevent counterfeiting attempts. The unauthorized machine-readable code detection module 610 may integrate geotagged monitoring, ensuring that unauthorized scans from high-risk locations are immediately flagged. The unauthorized machine-readable code detection module 610 may be configured to handle the detection and processing of machine-readable codes that are not generated orregistered within the system. When a user scans a machine-readable code, the system first verifies if the code is present in the backend database. If the scanned code is not found, the unauthorized machine-readable code detection module 610 may also be configured to: Redirect the unrecognized machine-readable code to a centralized verification system for further processing. Analyze the metadata associated with the scan attempt, including device information, timestamp, and geographic location, to assess potential counterfeit activity. Flag unauthorized machine-readable codes for additional scrutiny and determine whether they match known counterfeit patterns or mimic genuine product codes. Trigger alerts for system administrators, manufacturers, or regulatory bodies to review the unauthorized scan attempt. Provide real-time feedback to the consumer or retailer scanning the code, informing them whether the product is unauthorized or if further validation is required. The unauthorized machine-readable code detection module 610 may integrate with machine learning algorithms to improve counterfeit detection over time by identifying patterns in unauthorized scan attempts. The unauthorized machine-readable code detection module 610 may be configured to identify and block unregistered machine-readable codes attempting to enter the supply chain. If a scanned machine-readable code is not found in the centralized database, the system automatically flags the product for further inspection. The dual machine-readable code generation module 612 may be configured to generate a pair of machine-readable codes for multi-layer authentication. The dual machine-readable code generation module 612 may also be configured to: Create two machine-readable codes per product, one for the outer packaging and another for the inner product. Ensure that both codes are linked, preventing counterfeit substitution or repackaging. Store dual-code metadata, ensuring accurate verification at multiple checkpoints. The dual machine-readable code generation module 612 may integrate with sealing machine authentication, ensuring that codes are activated only after successful sealing. The dual machine-readable code verification module 614 may be configured to authenticate both outer and inner machine-readable codes, ensuring multi-layer product security. The dual machine-readable code verification module 614 may also be configured to: Cross-check scanned dual codes with database records, ensuring both layers match. Detect tampering or mismatched dual codes, preventing counterfeiters from reusing outer packaging. Ensure supply chain integrity, allowing retailers to verify both primary and secondary authentication layers. The dual machine-readable code verification module 614 may be configured to enforce a sequential verification process, ensuring that scanning the outermachine-readable code is required before access to the inner machine-readable code is granted. The dual machine-readable code verification module 614 may also be configured to prevent direct scanning of the inner product machine-readable code unless the system has validated the corresponding outer packaging machine-readable code. Furthermore, the system may maintain an encrypted linkage between the two codes, allowing backend authentication servers to detect attempts to bypass the sequential scanning process. If an inner product machine-readable code is scanned without prior authentication of its paired outer machine-readable code, the system may trigger a fraud alert, notifying relevant stakeholders of a possible counterfeiting or repackaging attempt. The dual machine-readable code verification module 614 may also be configured to track instances of mismatched inner and outer machine-readable code s by maintaining scan logs that record time, location, and user credentials associated with each verification attempt. If discrepancies are found such as an inner machine-readable code that does not belong to the scanned outer machine-readable code the system may immediately block the transaction and escalate it for further investigation. The dual machine-readable code synchronization module 616 may be configured to synchronize dual-code activation and tracking data in real-time. The dual machine-readable code synchronization module 616 may also be configured to: ensure that both machine-readable codes are activated together, preventing partial activations or substitutions. Synchronize activation timestamps, ensuring that both codes register identical authentication logs. Store synchronized data in the backend, allowing verification at any stage of the supply chain. The data analytics module 618 may be configured to analyze product scan data, sales patterns, and counterfeit detection trends. The data analytics module 618 may also be configured to: Generate heatmaps of counterfeit activity, allowing manufacturers to detect fraud hotspots. Provide real-time business insights, helping brands optimize supply chain and inventory distribution. Monitor consumer scanning trends, enabling targeted marketing and engagement strategies. The compliance and security module 620 may be configured to enforce global product authentication regulations, maintain audit trails, and ensure industry compliance, compliance and security module 620 may also be configured to: Ensure regulatory compliance with industry laws such as FDA, ISO, and other product safety standards. Log all authentication activities, allowing manufacturers to maintain a secure audit trail. Restrict machine-readable code access to authorized personnel only, preventing data leaks or misuse.

[0108] Referring to FIG. 7 is a block diagram 700 depicting an embodiment of the data analytics modules as shown in Fig. 6, in accordance with one or more exemplary embodiments. The data analytics modules include a web and market surveillance module 702, an internet-based keyword and ad monitoring module 704, a visual counterfeit detection module 706, a heatmap and consumer behavior analysis module 708, a heatmap generation module 710, a recommendation module 712, and a supply chain optimization module 714.

[0109] The web and market surveillance module 702 may be configured to monitor online marketplaces, social media platforms, and e-commerce websites for counterfeit product listings, unauthorized resellers, and brand misuse. The web and market surveillance module 702 module may also be configured to: Continuously scan and analyze e-commerce websites for unauthorized product listings. Detect counterfeit product promotions and misleading advertisements, flagging potential threats in real time. Monitor social media platforms and online forums, identifying unauthorized sales and fraudulent product claims. Track marketplace trends and consumer discussions, providing manufacturers with actionable insights on brand reputation. The web and market surveillance module 702 may integrate Al-powered web crawling tools to detect fraudulent keyword variations, fake product names, and brand impersonation. The internet-based keyword and ad monitoring module 704 may be configured to track product mentions, keyword manipulations, and unauthorized advertisements on digital platforms. The internet-based keyword and ad monitoring module 704 may also be configured to: Monitor search engines for fraudulent keyword variations targeting counterfeit product sales. Analyze paid advertisements, detecting unauthorized resellers using misleading product names or fake claims. Identify unauthorized promotions on digital advertising networks, preventing counterfeiters from leveraging brand reputation for illicit sales. Flag search trends associated with counterfeit product demand, enabling manufacturers to take corrective measures. The internet-based keyword and ad monitoring module 704 may use machine learning algorithms to detect keyword similarities, ensuring that fraudulent variations of brand names and product terms are flagged for investigation. The visual counterfeit detection module 706 may be configured to identify counterfeit products through image recognition and Al-based similarity detection. The visual counterfeit detection module 706 may also be configured to: analyze product images from online marketplaces, comparing them with authorized product visuals. Detect altered packaging,low-quality imitations, or replicated product designs, flagging potential counterfeit goods. Verify authenticity through Al-driven logo, font, and label comparisons, ensuring brand protection. Generate real-time alerts for flagged counterfeit listings, enabling manufacturers to initiate takedown requests. The visual counterfeit detection module 706 may integrate deep learning image classification models, improving accuracy in counterfeit detection across different marketplaces and platforms.

[0110] The heatmap and consumer behavior analysis module 708 may be configured to analyze consumer engagement, sales performance, and product authenticity scan data across various geographic locations. The heatmap and consumer behavior analysis module 708 may also be configured to: generate consumer behavior insights by analyzing product scan frequency, engagement levels, and purchase trends. Identify consumer preferences based on product category, pricing, and brand reputation. Track real-time product authentication trends, ensuring that legitimate products maintain strong consumer trust. Highlight product demand fluctuations, enabling manufacturers to adjust marketing and sales strategies. The heatmap and consumer behavior analysis module 708 may integrate Al-driven behavioral analysis, predicting consumer buying patterns and emerging market trends. The heatmap and consumer behavior analysis module 708 may be configured to aggregate real-time machine-readable code scan data from multiple sources, including retailers, distributors, and direct consumers, to generate interactive heatmaps. These heatmaps may visually represent regional product demand, consumer preferences, and market penetration by using color-coded zones (e.g., red for high sales, yellow for moderate sales, and gray for low sales). The heatmap and consumer behavior analysis module 708 may also be configured to analyze longitudinal trends in machine readable code scans, enabling manufacturers to predict future product demand, identify seasonal purchasing behaviors, and optimize supply chain operations accordingly. Additionally, the system may monitor consumer engagement trends by tracking the frequency of repeat scans and product authentication attempts across various demographics. The heatmap generation module 710 may be configured to visualize product sales performance, authentication trends, and counterfeit hotspot locations using geo-tagged scan data. The heatmap generation module 710 may also be configured to: generate real-time heatmaps that indicate high and low sales regions, helping manufacturers optimize product distribution. Identify counterfeit hotspots, ensuring counterfeitactivities are mapped for targeted enforcement actions. Visualize regional sales trends, enabling manufacturers to understand consumer demand and optimize inventory allocation. Compare authentic vs. counterfeit scans, ensuring brands can track fraudulent sales across geographic locations. The heatmap generation module 710 may integrate real-time GPS and blockchain tracking, ensuring that location-based insights remain accurate and tamper-proof. The heatmap generation module 710 may be configured to process geo-tagged machine-readable code scan data and classify regions based on sales performance and market engagement. This module may generate customized heatmaps based on filters such as product categories, batch numbers, and promotional campaigns. The heatmap generation module 710 may be configured to integrate AI-driven predictive analytics, allowing businesses to forecast market shifts and dynamically adjust advertising strategies, product placements, and regional inventory levels.

[0111] The recommendation module 712 may be configured to provide data-driven recommendations for inventory management, marketing strategies, and supply chain adjustments. The recommendation module 712 may also be configured to: Suggest optimal inventory distribution strategies, ensuring products are allocated efficiently based on regional demand. Provide marketing insights, recommending promotional campaigns based on historical sales performance and consumer engagement. Enable dynamic pricing adjustments, ensuring that pricing strategies are tailored to regional economic factors and competitor pricing trends. Identify opportunities for product expansion, highlighting underserved markets and emerging consumer needs. The recommendation module 712 may integrate predictive analytics models, allowing businesses to optimize their growth strategies using real-time data. The recommendation module 712 may be configured to analyze heatmap insights and provide automated marketing and inventory recommendations. For example, if a specific region shows declining sales trends, the system may suggest targeted promotional campaigns, loyalty programs, or strategic price adjustments to improve consumer engagement. The recommendation module 712 may be configured to notify distributors and retailers about overstocked or underperforming products, ensuring that supply chain operations are optimized to prevent excess inventory accumulation. The supply chain optimization module 714 may be configured to analyze and enhance product distribution, logistics efficiency, and retailer performance using real-time market data. The supply chain optimization module 714 may also be configured to:track product movement from manufacturing to the end consumer, ensuring full supply chain visibility. Identify inefficiencies in logistics networks, optimizing delivery routes and reducing transportation costs. Analyze retailer performance, ensuring that stock levels match actual sales demands. Optimize warehouse management, predicting inventory needs and reducing overstock or understock situations. The supply chain optimization module 714 may integrate with Al-based supply chain forecasting models, ensuring that manufacturers and distributors can optimize their logistical decisions based on real-time market trends. The supply chain optimization module 714 may be configured to analyze heatmap sales trends to identify gaps in distribution networks, logistical inefficiencies, and over / understocked regions. The supply chain optimization module 714 may also be configured to suggest alternative inventory allocations, recommend optimal delivery route planning, and dynamically adjust warehouse storage strategies based on real-time consumer demand insights. The supply chain optimization module 714 may also be configured to track all machine-readable code scans across different trade checkpoints, including ports, customs clearances, and warehouses. This ensures that each product follows its expected transit route, and any deviation from the registered route triggers an alert for investigation. The supply chain optimization module 714 may be configured to map product flow across the distribution network, ensuring compliance with registered shipping routes. It may also detect bottlenecks, diversions, or anomalies in the supply chain that indicate potential illegal trade activities.

[0112] Referring to FIG. 8 is a block diagram 800 depicting an embodiment of the compliance and security module as shown in Fig. 6, in accordance with one or more exemplary embodiments. The compliance and security module includes a compliance and regulatory monitoring module 802, a counterfeit reporting and enforcement module 804, a blacklist and fraud intelligence module 806, a trade compliance monitoring module 808, a blockchain authentication ledger module 810, a regulatory oversight access module 812, and a secure API and code verification module 814.

[0113] The compliance and regulatory monitoring module 802 may be configured to ensure that all products, machine-readable codes, and supply chain activities comply with national and international regulations. The compliance and regulatory monitoring module 802 may also be configured to: monitor industry- specific regulations related to pharmaceuticals,FMCG, electronics, and luxury goods. Ensure product authentication compliance with ISO, FDA, EU safety laws, and other regulatory bodies. Maintain audit trails for verification, allowing regulators to track compliance history. Flag non-compliant products, ensuring that items failing to meet industry standards are restricted. Generate compliance reports for manufacturers and stakeholders, ensuring transparency in product tracking. The compliance and regulatory monitoring module 802 may integrate real-time compliance monitoring, ensuring that machine-readable codes, transactions, and activations align with regulatory requirements. The counterfeit reporting and enforcement module 804 may be configured to detect, report, and take enforcement actions against counterfeit products and unauthorized activities. The counterfeit reporting and enforcement module 804 may also be configured to: Automatically detect counterfeit product scans, flagging fraudulent machine-readable codes. Generate real-time counterfeit alerts for manufacturers, retailers, and regulatory authorities. Maintain a counterfeit reporting system, allowing users and enforcement agencies to report suspected fake products. Facilitate product recall mechanisms, ensuring that flagged counterfeit goods are immediately removed from circulation. Enable collaboration with law enforcement, supporting counterfeit crackdowns across jurisdictions. The counterfeit reporting and enforcement module 804 may integrate Al-based fraud detection algorithms, ensuring that counterfeit patterns are identified and addressed proactively. The counterfeit reporting and enforcement module 804 may be configured to automate the reporting of counterfeit product detections to relevant regulatory bodies, manufacturers, and law enforcement authorities. The counterfeit reporting and enforcement module 804 ensures that fraudulent activities are promptly identified and addressed through automated escalation procedures. The counterfeit reporting and enforcement module 804 may also be configured to: Generate automatic counterfeit incident reports containing essential metadata, including product details, location, and time of detection. Send real-time notifications to brand owners, compliance officers, and regulatory enforcement agencies upon detecting a counterfeit QR code. Allow regulatory bodies to access flagged counterfeit data via a secure dashboard, enabling them to track trends in counterfeit distribution. Integrate with fraud databases and blacklists, ensuring that newly detected counterfeit patterns are stored and referenced for future scans. Trigger legal enforcement mechanisms, including cease-and-desist notices and regulatory actions, against entities involved in counterfeit distribution. The counterfeit reporting and enforcement module 804 may support data-sharing capabilities withinternational customs and border control agencies, ensuring that counterfeit products flagged in one region are also monitored globally.

[0114] The blacklist and fraud intelligence module 806 may be configured to track and store data on blacklisted entities, fraudulent supply chain activities, and high-risk counterfeit patterns. The blacklist and fraud intelligence module 806 may also be configured to: Maintain a global blacklist of counterfeit sellers, unauthorized distributors, and fraudulent retailers. Analyze fraud intelligence data, identifying emerging counterfeit trends and suspicious activities. Block fraudulent entities from using the authentication system, preventing repeated counterfeiting attempts. Share blacklist data with government agencies, strengthening cross-border counterfeit enforcement. Enable real-time fraud alerts, notifying relevant authorities when blacklisted entities attempt product authentication. The blacklist and fraud intelligence module 806 may integrate predictive analytics, ensuring that fraud patterns and high-risk regions are continuously analyzed and flagged. The trade compliance monitoring module 808 may be configured to enforce global trade regulations, ensuring that all product shipments comply with international laws. The trade compliance monitoring module 808 may also be configured to: Monitor trade routes and verify shipments, ensuring that only authorized products are transported. Check for proper documentation, ensuring compliance with customs and border security laws. Detect smuggling attempts, flagging unauthorized shipments linked to counterfeit operations. Ensure tax and duty compliance, preventing fraudulent import / export activities. Alert manufacturers and regulators of trade law violations, ensuring corrective actions are taken. The trade compliance monitoring module 808 may integrate geo-fencing technology, ensuring that products cannot be moved outside designated trade routes without verification. The trade compliance monitoring module 808 may be configured to ensure real-time product verification at multiple checkpoints across the supply chain, including ports, customs, logistics hubs, and regulatory inspection points. The trade compliance monitoring module 808 facilitates seamless integration with logistics platforms, customs agencies, and trade compliance authorities, allowing for automated machine-readable code validation at key transit points. The trade compliance monitoring module 808 may also be configured to: Enable machine readable code scanning at customs checkpoints, allowing authorities to verify product authenticity before approving cross-border shipments. Integrate with supply chain management (SCM) and enterprise resource planning (ERP) systems,enabling manufacturers, distributors, and retailers to track product movement across multiple geographic locations. Detect unauthorized shipments or smuggled products by cross-referencing scanned QR codes with the backend database, ensuring that all products match their registered supply chain path. Generate compliance reports for regulatory authorities, ensuring that flagged counterfeit or unverified products are immediately reported for further inspection. Additionally, this module may support Al-powered fraud detection algorithms, capable of identifying anomalies in shipment routes, detecting products scanned at unauthorized locations, and triggering real-time alerts for supply chain irregularities. The trade compliance monitoring module 808 may be configured to track product movements across registered trade checkpoints, including export, import, customs clearance, and distribution warehouses. The trade compliance monitoring module 808 may be configured to flag suspicious activities such as unauthorized location scans, missing checkpoints, or discrepancies in shipment timing, helping trade authorities prevent smuggling and fraud.

[0115] The blockchain authentication ledger module 810 may be configured to provide an immutable and decentralized record of product authentication events, ensuring transparency and security. The blockchain authentication ledger module 810 may also be configured to: Store product authentication data on a blockchain, preventing tampering or manipulation. Maintain a secure transaction history, allowing regulators and stakeholders to verify product origins. Enhance traceability across the supply chain, ensuring every transaction is securely recorded. Enable decentralized counterfeit prevention, allowing multiple entities to validate product authenticity. Ensure cryptographic security, preventing unauthorized alterations of authentication records. The blockchain authentication ledger module 810 may integrate with smart contracts, allowing automated compliance enforcement based on blockchain-stored verification rules. The blockchain authentication ledger module 810 may also be configured to store immutable machine-readable scan records, ensuring that each trade transaction is permanently logged. Government regulatory bodies may access the blockchain ledger in real-time to verify product authenticity, compliance, and trade documentation. The regulatory oversight access module 812 may be configured to grant access to regulatory bodies, allowing them to monitor compliance, authentication events, and fraud detection activities. The regulatory oversight access module 812 may also be configured to: Provide secure access for government agencies, ensuring they canreview authentication logs and compliance reports. Facilitate regulatory audits, allowing verification of machine-readable code activations and product tracking data. Ensure real-time monitoring of authentication events, allowing regulators to detect suspicious activity. Support integration with legal enforcement agencies, strengthening counterfeit investigation capabilities. Enable multi-tiered access control, ensuring that different regulatory bodies receive access based on their jurisdiction. The regulatory oversight access module 812 may integrate with Al-based anomaly detection, ensuring that regulators receive proactive fraud alerts in real-time. The regulatory oversight access module 812 may be configured to allow customs and trade authorities to access the blockchain-based QR tracking system. This feature ensures that regulatory agencies can validate trade transactions without requiring manual verification of invoices or shipping manifests. The secure API and code verification module 814 may be configured to enable third-party integrations, secure authentication transactions, and verify product authenticity through API-based access. The secure API and code verification module 814 may also be configured to: Provide secure API endpoints for manufacturers, retailers, and enforcement agencies, allowing seamless authentication. Ensure encrypted communication, protecting machine-readable code verification data. Enable automated authentication requests, reducing human errors in compliance verification. Support integrations with enterprise resource planning (ERP) and supply chain management (SCM) systems, ensuring automated compliance tracking. Prevent unauthorized API access, ensuring that only verified stakeholders can retrieve authentication data. The secure API and code verification module 814 ensures that only authorized applications and users can interact with compliance and security features. The secure API and code verification module 814 may be configured to provide a secure, encrypted interface for external applications, enterprise systems, and regulatory bodies to access machine-readable code verification data in real time. This ensures seamless integration with third-party services, logistics systems, and compliance monitoring platforms. The secure API and code verification module (814) may also be configured to: Offer RESTful APIs for third-party applications, enabling retailers, customs authorities, and distributors to authenticate product details via external platforms. Ensure encrypted communication, protecting authentication data from unauthorized access or manipulation. Enable automated authentication requests, allowing supply chain partners to verify machine-readable codes in bulk, reducing human errors. Integrate with enterprise resource planning (ERP) and supply chain management (SCM) systems, ensuringreal-time inventory tracking and authentication compliance. Provide API-based fraud detection alerts, allowing e-commerce platforms, regulatory agencies, and customs checkpoints to receive real-time counterfeit warnings. Additionally, this module may include OAuth-based multi-tiered access control, ensuring that only authorized entities can retrieve authentication data, and preventing data breaches and misuse.

[0116] In accordance with one or more exemplary embodiments of the present disclosure, the system 100a ensures product traceability, authenticity, and security across the supply chain, enhancing fraud prevention and regulatory compliance. The system 100a generates a unique machine-readable code (such as a QR code) for each product packet and its corresponding outer packaging box. The product data analysis and authentication module 120a may be configured to generate these machine-readable codes. Each code is embedded with metadata, including geolocation data, product identifiers, and batch information. The outer box's machine-readable code is systematically linked to all individual product packets inside it. Furthermore, multiple boxes can be collectively linked to an invoice, ensuring hierarchical traceability throughout the supply chain. During the export process, exporters or manufacturers embed importer details within the machine-readable codes. This information is securely stored within the backend database 124a for validation and regulatory oversight. When these products are scanned at customs during export or import, the product verification and tracking module 116a ensures that the updated information is synchronized with the database. Customs officers receive notifications confirming product receipt. If the importer fails to scan and verify the received goods within a predefined timeframe, the system flags the shipment as potentially suspicious, and customs authorities are notified to initiate an investigation. The product verification and tracking module 116a further allows consumers to scan individual product codes to track details such as product origin, export entries, import checkpoints, and final delivery. This provides transparency and enhances consumer trust. The compliance and regulatory monitoring module 802 ensure that every machine-readable code is scanned at mandatory checkpoints, such as export, import, and distributor warehouses. The system prevents counterfeit substitution by verifying scanned codes against the centralized database and flagging anomalies. To enhance security, the system integrates with the blockchain authentication ledger module 810. This ledger ensures that all transaction data, including code generation, scanning, and authentication events,are stored immutably, guaranteeing traceability and tamper-proof verification. Regulatory bodies have real-time access to this ledger, enabling them to verify product authenticity at any stage. The AI-Based counterfeit detection module 306a analyzes scanning patterns and shipment data. If discrepancies, such as unexpected scanning locations or anomalies in transit routes, are detected, the system flags them and notifies relevant stakeholders for immediate action. The notification module 310a ensures that customs officers, manufacturers, and importers receive real-time alerts on scan events, product movements, and compliance breaches. This proactive communication framework minimizes delays and enhances supply chain integrity. The audit logging and tamper prevention module 214 records all critical events, including code generation, activation, and scanning history, ensuring transparency and auditability for regulatory reviews. The geo-fenced activation link validation module 212, the system ensures that activation of machine-readable codes occurs only within authorized locations. This further enhances security by preventing unauthorized activations and counterfeit attempts.

[0117] In accordance with one or more exemplary embodiments of the present disclosure, a system 100b is introduced to enhance point-of-sale (POS) authentication and inventory management by linking product verification directly to the billing process. This system 100b ensures that only authenticated and registered products are processed for billing, thereby enhancing security and preventing the sale of counterfeit or unauthorized items. The system 100b integrates with the POS Product Authentication Module 118b, wherein the POS Scanning Validation Module 402 is configured to validate scanned machine-readable codes against a centralized inventory database 124a. If the scanned item matches the registered inventory and passes authentication checks, the billing process proceeds. However, if the scanned item does not match the registered inventory or fails the authentication process, the system automatically blocks the billing process, preventing unauthorized or counterfeit sales. The Fraud Prevention and Blacklist Enforcement Module 404 further enhances security by cross-referencing scanned codes against known counterfeit blacklists and flagged entries. If a scanned product is flagged, the system generates a real-time alert to the POS operator and logs the event in the Data Logging and Compliance Tracking Module (410) for regulatory oversight. The Geo-Tagged Transaction Monitoring Module (406) ensures that product sales are conducted within authorized locations, and any unauthorized scan attempt outside predefined geo-fenced areas triggers alerts andautomatic billing blocks. This feature prevents unauthorized distribution and enhances traceability. Additionally, the system ensures that real-time transaction data, including scan location, timestamp, and product details, are logged and synchronized with the central server, allowing manufacturers and regulatory bodies to monitor POS activities and detect potential counterfeit patterns.

[0118] In accordance with one or more exemplary embodiments of the present disclosure, a system for secure product tracking and authentication using dual machine-readable codes is described. This embodiment introduces an advanced security mechanism by incorporating inside and outside machine-readable codes for each product, ensuring multilayered protection against counterfeit attempts and unauthorized tampering. The system generates two distinct machine-readable codes for every product one for the outer packaging and another for the inside of the product container (such as inside a bottle, pouch, or sealed bag). The Product Data Analysis and Authentication Module (120a) oversees the generation and authentication processes of these dual codes. The outer machine-readable code is printed on the external packaging and is immediately activated upon printing. However, the inner machine-readable code is pre-printed inside the container but remains inactive until the sealing process is completed, ensuring that it cannot be accessed or tampered with until the product is physically opened by the consumer. The Sealing Machine Integration Module (210) ensures that both the inner and outer codes are activated simultaneously during the sealing process. The sealing device captures metadata such as the timestamp, geolocation, and sealing device ID, which are recorded in the Audit Logging and Tamper Prevention Module (214). This metadata ensures that both codes are linked to a specific sealing event, enhancing traceability. The Authentication Module (304a) plays a critical role in verifying the integrity of the product. Upon consumer-level scanning, the system cross-verifies the activation timestamp and geolocation of the inside and outside QR codes. If the details match, the product is confirmed as genuine. However, if there are discrepancies, the system flags the product for potential counterfeit or tampering attempts, and the Notification Module (310a) generates real-time alerts to stakeholders, including manufacturers and regulatory authorities. To further strengthen anti- counterfeit measures, the inside QR code includes an anti-tampering mechanism. If the inside QR code is scanned before the product is opened, the system identifies this as a suspicious attempt. The scan metadata(including location, timestamp, and scanning device information) is recorded, and the system alerts the relevant stakeholders via the Notification Module (310a). All scan and activation data are logged within the Audit Logging and Tamper Prevention Module (214) for future auditing and compliance purposes. The data is also stored immutably in the Blockchain Authentication Ledger Module (810), ensuring transparency, traceability, and tamper-proof verification across the supply chain.

[0119] In accordance with one or more exemplary embodiments of the present disclosure, a system is introduced for securing product authenticity and preventing misuse of subsidized or regulated products using dual machine-readable codes integrated within various product packaging formats. This system enhances traceability, ensures that subsidies reach the intended beneficiaries, and reduces fraudulent activities across industries. The dual machine-readable code generation module 612 may be configured to generate two distinct machine-readable codes for each product one for the outer packaging and another for the inner product. The outer code is printed externally on the product packaging (e.g., on bags, boxes, or containers), while the inner code is embedded inside, such as within a bottle, sealed bag, pouch, or container lining, remaining inaccessible until the product is opened. During distribution, the product verification and tracking module (116a) ensures that both codes are scanned and authenticated at various checkpoints, including manufacturing dispatch, distributor receipt, and retail stocking. This guarantees that only verified products move through the supply chain. At the retail level, the POS product authentication module (118b) ensures that the outer code is scanned and verified at the point of sale (POS), confirming the authenticity of the product before any subsidy discounts or regulatory permissions are applied. Upon product usage, the consumer is required to scan the inner machine-readable code using an application or scanning device. This scan activates the Consumer-Level Verification Process, where the system cross-references the inner code's metadata, such as activation timestamp and geolocation, with that of the outer code. If the metadata matches, the product is marked as genuinely consumed, confirming proper usage of subsidies or regulated permissions. Any mismatch or irregularity triggers an alert for investigation. The ai-based counterfeit detection module 306a analyzes discrepancies in inner and outer code activation. If the inner code is not scanned within a defined timeframe postpurchase or is scanned from an unauthorized or suspicious location, the system flags it assuspicious. Additionally, the compliance and regulatory monitoring module 802 ensures that subsidies or regulated permissions are only applied when proper verification of both machine-readable codes occurs. This prevents fraudulent claims and misuse. The Notification Module 310a sends automated alerts to regulatory bodies if anomalies are detected during the inner code scan, ensuring timely intervention. The audit logging and tamper prevention module 214 records all scan events, including metadata such as location, timestamp, and device information, ensuring traceability and enabling audits for regulatory compliance.

[0120] In accordance with one or more exemplary embodiments of the present disclosure, the system 100a is introduced to enhance product warranty registration and customer support engagement by leveraging machine-readable codes. This system ensures seamless warranty activation and direct customer interaction post-purchase, thereby enhancing consumer satisfaction and post-sale services. Upon purchasing a product, the user can scan the product’s machine-readable code using an authorized application or scanning device. This scan triggers the warranty verification module 308a, which automatically registers the product’s warranty in the centralized database 124a. The system captures and logs critical metadata, including the product's unique identifier, purchase timestamp, geolocation, and associated consumer details. This information is securely stored to facilitate future warranty claims, ensuring that only genuine products receive warranty coverage. The system provides consumers with immediate access to customer support services. Once the warranty registration is completed, the system displays an option for users to directly connect with the Customer Care (CC) Service, either through in-app chat, email, or a dedicated helpline. This integration simplifies post-purchase engagement, allowing consumers to seek assistance, raise complaints, or inquire about service-related queries directly through the platform. The notification module 310a ensures that users receive an automated confirmation of successful warranty registration, along with contact details for customer care services. Additionally, the system provides timely alerts about warranty status, expiry notifications, and service reminders, keeping the user informed throughout the product lifecycle. The audit logging and tamper prevention module 214 records all interactions, including warranty registration events, customer support engagements, and service requests, ensuring traceability and facilitating regulatory audits when necessary. This embodiment streamlineswarranty registration processes and enhances consumer support engagement, reducing service delays and ensuring genuine customer experiences.

[0121] Referring to FIG. 9 is a flow diagram 900 depicting a method for requesting and activating preprinted machine-readable codes with geo-fencing, in accordance with one or more exemplary embodiments. The exemplary method 900 commences at step 902, enabling a manufacturer to register on the system by submitting product details, regulatory compliance documents, and geolocation data via a first computing device. Thereafter at step 904, transmitting the manufacturer’s request, including product details and geolocation data, to a server over a network. Thereafter at step 906, generating preprinted machine-readable codes with geo-fencing activation parameters via a product data analysis and authentication module on the server. Thereafter at step 908, storing the generated machine-readable codes with unique identifiers in a database and transmitting them to the first computing device. Thereafter at step 910, allowing the manufacturer to receive and utilize the machine-readable codes by either printing them directly onto product packaging or embedding them in a sticker-based two-layer authentication structure. Thereafter at step 912, activating the machine- readable codes via a geofencing activation link, wherein the first computing device determines the manufacturer’s geolocation coordinates at the time of activation and transmits them to the server for verification. Thereafter at step 914, cross-checking the received geolocation coordinates with the preregistered activation location stored in the database, wherein activation is permitted only if the coordinates match. Thereafter at step 916, restricting activation and preventing unauthorized use if the geolocation coordinates do not match the pre-registered activation location.

[0122] Referring to FIG. 10 is a flow diagram 1000 depicting a method for method for secure product tracking and authentication using dual machine-readable codes, in accordance with one or more exemplary embodiments. The exemplary method 1000 commences at step 1002, generating dual machine-readable codes, each associated with a unique identifier, productspecific details, geo-coordinates, and timestamps via a product data analysis and authentication module on a server. Thereafter at step 1004, printing the generated dual machine-readable codes using at least one of a mobile printer or a fixed printer at a designated packing location. Thereafter at step 1006, applying a first machine-readable code to the outer packaging of theproduct and a second machine-readable code to the inner product to establish a linked authentication system. Thereafter at step 1008, sealing the product packaging using at least one of a mobile sealer or a fixed sealer, wherein successful sealing triggers activation of both machine-readable codes via a sealing machine integration module. Thereafter at step 1010, storing the activated machine-readable codes and associated metadata, including timestamps, geo-coordinates, and sealing validation status, in a backend database for traceability. Thereafter at step 1012, scanning the dual machine-readable codes at multiple checkpoints in the supply chain, wherein each scan verifies authenticity by cross-referencing the machine-readable codes against stored records in the backend database and detecting any tampering or mismatches between the outer and inner codes.

[0123] Referring to FIG. 11 is a flow diagram 1100 depicting a method for method for method for analyzing consumer behavior using geo-tagged machine-readable code data, in accordance with one or more exemplary embodiments. The exemplary method 1100 commences at step 1102, collecting machine-readable code scan data from consumer interactions, wherein the scan data includes timestamps, product details, and consumer location coordinates. Thereafter at step 1104, aggregating the collected scan data in a backend database via a product data analysis and authentication module. Thereafter at step 1106, analyzing scan patterns using a heatmap and consumer behavior analysis module to identify at least one of regional consumer preferences, popular product categories, and consumption trends over predefined time periods. Thereafter at step 1108, generating real-time insights and market analytics by processing geotagged scan data, wherein the insights assist in demand forecasting, targeted marketing, and inventory optimization. Thereafter at step 1110, providing manufacturers, retailers, and stakeholders with data-driven recommendations through an interactive dashboard, enabling strategic decision-making based on consumer behavior trends.

[0124] Referring to FIG. 12 is a flow diagram depicting a method for verifying authenticity and detecting counterfeit and mimicry products at critical checkpoints, in accordance with one or more exemplary embodiments. The exemplary method 1200 commences at step 1202, scanning machine-readable codes or detecting product-related keywords at various authentication points. Thereafter at step 1204, transmitting the scanned data to a backenddatabase for validation against registered product records. Thereafter at step 1206, identifying counterfeit or mimicry attempts by analyzing deviations in product metadata, geo-coordinates, timestamps, and keyword similarities. Thereafter at step 1208, generating alerts for flagged counterfeit products and notifying relevant stakeholders, including manufacturers and regulatory authorities. Thereafter at step 1210, storing flagged counterfeit data in a fraud intelligence database to enhance future counterfeit detection and enforcement mechanisms.

[0125] Referring to FIG. 13 is a flow diagram depicting a method for optimizing marketing strategies using heatmap analytics, in accordance with one or more exemplary embodiments. The exemplary method 1300 commences at step 1302, aggregating sales data based on geographic regions and time periods to analyze market performance. Thereafter at step 1304, identifying low-sales zones by analyzing geo-tagged machine- readable code scan patterns and consumer behavior trends. Thereafter at step 1306, generating marketing recommendations tailored to regional consumer preferences based on heatmap insights. Thereafter at step 1308, tracking the impact of marketing campaigns in real-time by updating heatmaps with ongoing consumer engagement and sales data.

[0126] Referring to FIG. 14 is a flow diagram depicting a method for ensuring secure trade transactions, preventing counterfeiting, and enforcing trade compliance, in accordance with one or more exemplary embodiments. The exemplary method 1400 commences at step 1402, generating a unique machine-readable code for each product packet and box, the box machine-readable code is linked to all individual product packets inside it, ensuring hierarchical traceability. Thereafter at step 1404, registering and updating geolocation data of products at multiple checkpoints, including export ports, import ports, customs clearance hubs, and importer warehouses, using a QR-based supply chain tracking system to prevent unauthorized diversions. Thereafter at step 1406, mandating machine-readable code scanning at all designated trade checkpoints, wherein product movement is restricted unless the scanned data matches preregistered shipment details in the centralized database, preventing counterfeit substitution during transit. Thereafter at step 1408, storing immutable transaction records for each scanned machine-readable code in a blockchain-based digital authentication ledger, ensuring end-to-end verification of product authenticity and supply chain integrity. Thereafter at step 1410, enablingreal-time fraud detection using ai-powered analytics, wherein the system detects anomalies in shipment routes, unexpected scan locations, and duplicate QR code scans, flagging unauthorized modifications for immediate stakeholder action. Thereafter at step 1412, providing regulatory authorities with real-time blockchain ledger access, enabling government bodies and customs officials to verify shipment authenticity, enforce compliance policies, and monitor trade transactions in real-time.

[0127] Referring to FIG. 15 is a flow diagram 1500 depicting a method for tamper-proof product authentication using a dual-layer machine readable code sticker, in accordance with one or more exemplary embodiments. The exemplary method 1500 commences at step 1502, applying a sticker with a two-layer structure to a product surface, wherein the bottom adhesive layer contains a complete machine-readable code, and the top layer serves as a protective covering. Thereafter at step 1504, facilitating product authentication by configuring the bottom adhesive layer to remain affixed to the product upon sticker removal, retaining the machine-readable code in an intact and scannable state. Thereafter at step 1506, preventing unauthorized reuse by designing the top removable layer without a readable code, thereby rendering it ineffective for counterfeit duplication or replication. Thereafter at step 1508, triggering authentication failure if the top layer alone is scanned, as it lacks a valid machine-readable code, preventing unauthorized verification attempts. Thereafter at step 1510, verifying product authenticity by scanning the machine-readable code on the bottom adhesive layer, wherein the system cross-checks the scanned data against a centralized authentication database. Thereafter at step 1512, detecting tampering attempts by flagging any disruption or alteration to the QR code, ensuring that only intact and original stickers are considered valid for authentication.

[0128] Referring to FIG. 16 is a flow diagram 1600 depicting a method for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing in accordance with one or more exemplary embodiments. The exemplary method 1600 commences at step 1602, enabling a manufacturer to register on the system by submitting product details, regulatory compliance documents, and geolocation data via a first computing device. Thereafter at step 1604, transmitting the manufacturer’s request to a server over a network. Thereafter at step 1606, generating machine-readable codes with geo-fencing activation parameters through aproduct data analysis and authentication module on the server. Thereafter at step 1608, storing the generated machine-readable codes with unique identifiers in a database and transmitting them to the first computing device. Thereafter at step 1610, enabling the manufacturer to utilize the machine-readable codes by either printing them directly onto product packaging or embedding them within a sticker-based two-layer structure for authentication and counterfeit prevention. Thereafter at step 1612, activating the machine- readable codes using a geo-fencing activation link, wherein activation occurs only when the manufacturer’s geolocation coordinates match preregistered activation locations stored in the server database. Thereafter at step 1614, allowing users, retailers, and stakeholders to scan and verify machine-readable codes at various checkpoints in the supply chain via a second computing device. Thereafter at step 1616, authenticating scanned machine-readable codes by cross-referencing them against the server database in real-time and detecting counterfeit attempts using Al-based counterfeit detection. Thereafter at step 1618, enabling authentication at the point of sale via a third computing device, preventing counterfeit product sales and generating real-time alerts for unauthorized scans. Thereafter at step 1620, verifying the authenticity of products at the retail level via a fourth computing device, ensuring compliance with backend records stored on the server. Thereafter at step 1622, collecting geo-tagged scan data for heatmap-based sales analytics and consumer insights, enabling stakeholders to visualize sales trends and optimize market strategies. Thereafter at step 1624, providing real-time product tracking, verification, and management through an interactive user interface on the second computing device, allowing users to monitor product status, scan history, and receive warranty and recall notifications.

[0129] Referring to FIG. 17 is a block diagram 1700 illustrating the details of a digital processing system 1700 in which various aspects of the present disclosure are operative by execution of appropriate software instructions. The Digital processing system 1700 may correspond to the computing devices (or any other system in which the various features disclosed above can be implemented). Digital processing system 1700 may contain one or more processors such as a central processing unit (CPU) 1710, random access memory (RAM) 1720, secondary memory 1730, graphics controller 1760, display unit 1770, network interface 1780, and input interface 1790. All the components except display unit 1770 may communicate with each otherover communication path 1750, which may contain several buses as is well known in the relevant arts. The components of Figure 17 are described below in further detail.

[0130] CPU 1710 may execute instructions stored in RAM 1720 to provide several features of the present disclosure. CPU 1710 may contain multiple processing units, with each processing unit potentially being designed for a specific task. Alternatively, CPU 1710 may contain only a single general-purpose processing unit. RAM 1720 may receive instructions from secondary memory 1730 using communication path 1750. RAM 1720 is shown currently containing software instructions, such as those used in threads and stacks, constituting shared environment 1725 and / or user programs 1726. Shared environment 1725 includes operating systems, device drivers, virtual machines, etc., which provide a (common) run time environment for execution of user programs 1726.

[0131] Graphics controller 1760 generates display signals (e.g., in RGB format) to display unit 1770 based on data / instructions received from CPU 1710. Display unit 1770 contains a display screen to display the images defined by the display signals. Input interface 1790 may correspond to a keyboard and a pointing device (e.g., touch-pad, mouse) and may be used to provide inputs. Network interface 1780 provides connectivity to a network (e.g., using Internet Protocol), and may be used to communicate with other systems connected to the network. Secondary memory 1730 may contain hard drive 1735, flash memory 1736, and removable storage drive 1737. Secondary memory 1730 may store the data software instructions (e.g., for performing the actions noted above with respect to the Figures), which enable digital processing system 1700 to provide several features in accordance with the present disclosure.

[0132] Some or all of the data and instructions may be provided on removable storage unit 1740, and the data and instructions may be read and provided by removable storage drive 1737 to CPU 1710. Floppy drive, magnetic tape drive, CD-ROM drive, DVD Drive, Flash memory, removable memory chip (PCMCIA Card, EEPROM) are examples of such removable storage drive 1737. Removable storage unit 1740 may be implemented using medium and storage format compatible with removable storage drive 1737 such that removable storage drive 1737 can read the data and instructions. Thus, removable storage unit 1740 includes a computerreadable (storage) medium having stored therein computer software and / or data. However, the computer (or machine, in general) readable medium can be in other forms (e.g., non-removable, random access, etc.)

[0133] In this document, the term "computer program product" is used to generally refer to removable storage unit 1740 or hard disk installed in hard drive 1735. These computer program products are means for providing software to digital processing system 1700. CPU 1710 may retrieve the software instructions, and execute the instructions to provide various features of the present disclosure described above. The term “storage media / medium” as used herein refers to any non-transitory media that store data and / or instructions that cause a machine to operate in a specific fashion. Such storage media may comprise non-volatile media and / or volatile media. Non-volatile media includes, for example, optical disks, magnetic disks, or solid-state drives, such as storage memory 1730. Volatile media includes dynamic memory, such as RAM 1720. Common forms of storage media include, for example, a floppy disk, a flexible disk, hard disk, solid-state drive, magnetic tape, or any other magnetic data storage medium, a CD-ROM, any other optical data storage medium, any physical medium with patterns of holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, NVRAM, any other memory chip or cartridge. Storage media is distinct from but may be used in conjunction with transmission media. Transmission media participates in transferring information between storage media. For example, transmission media includes coaxial cables, copper wire and fibre optics, including the wires that comprise bus (communication path) 1750. Transmission media can also take the form of acoustic or light waves, such as those generated during radio-wave and infra-red data communications.

[0134] In accordance with one or more exemplary embodiments of the present disclosure, the machine-readable code activation module 114a may include the sealing machine integration module 210, the sealing machine integration module 210 may configured to ensure that machine-readable codes are activated only upon successful product sealing, the mobile sealer 126c captures sealing metadata including timestamp, geolocation, and mobile sealer ID and transmits it to the product data analysis and authentication module 120a for validation before activation. The product data analysis and authentication module 120a cross-verifies the sealingmetadata against pre-registered product packaging data and geo-fencing parameters, and upon successful validation, the machine-readable code is activated and updated in the database 124a as a valid product entry; otherwise, activation is restricted, and an alert is generated for unauthorized sealing attempts. The machine-readable code activation module 114a may include the sealing machine integration module 210 may be configured to enable integration with mobile sealing devices, the sealing machine integration module 210 may communicate with sealing devices to validate the sealing status of products in real-time and trigger the activation of the machine-readable code only upon successful product sealing.

[0135] In accordance with one or more exemplary embodiments of the present disclosure, machine-readable code activation module 114a may include the sealing machine integration module 210, the sealing machine integration module may be configured to capture sealing metadata, including timestamp, geolocation, and sealing device ID, and transmit the metadata to the product data analysis and authentication module 12a on the server 118a for validation before activating the machine-readable code. The machine-readable code activation module 114a may include the sealing machine integration module 210, the sealing machine integration module 210 may be configured to ensure tamper-proof product packaging by embedding a unique sealing identifier into the activated machine-readable code, thereby preventing unauthorized reuse or replication. The machine-readable code activation module 114a may include the sealing machine integration module, the sealing machine integration module 210 may be configured to automatically trigger the activation of dual machine-readable codes upon successful sealing, the sealing machine captures metadata including timestamp, geolocation, and sealing device ID, and transmits it to the product data analysis and authentication module 120a for validation before activation. The machine-readable code activation module 114a may include the mobile sealing and printer communication module 216, and the mobile sealing and printer communication module 216 may be configured to integrate with handheld printers via Bluetooth, Wi-Fi, or USB, enabling real-time generation and printing of machine-readable codes upon successful product sealing. The machine-readable code activation module 114a may include the mobile sealing and printer communication module 216 may be configured to allow users to customize machine-readable codes in real-time by embedding product-specific details, timestamps, and geolocation data before printing.

[0136] In accordance with one or more exemplary embodiments of the present disclosure, machine- readable code activation module 114a may include the printer integration module 218, the printer integration module 218 may be configured to support offline printing of machine-readable codes, the offline-generated codes are stored locally and synchronized with the centralized server 118a upon reconnection. The machine- readable code activation module 114a may include the printer integration module 218, the printer integration module 218 may be configured to enable batch printing and on-demand printing of machine-readable codes, the users can generate multiple codes in bulk or print individual codes as required. The machine-readable code activation module 114a may include the printer integration module 218 may be configured to enable the dynamic printing of dual machine-readable codes using mobile or fixed printers, the printer integration module 218 is further configured to embed real-time metadata, including geo-coordinates, timestamps, and product batch details, within the printed machine-readable codes. The product data analysis and authentication module 120a locks the machine-readable code data post-activation, ensuring that once a machine-readable code is activated, it cannot be altered, reused, or duplicated, thereby preventing unauthorized modifications and counterfeit attempts. The machine-readable code activation module 114a may include the device authorization and secure access module 208, and the device authorization and secure access module 208 may be configured to restrict the activation of machine-readable codes to registered devices or authorized web platforms, ensuring that activation attempts from unauthorized devices are blocked. The machine-readable code activation module may include the geo-fenced activation link validation module 212 may be configured to restrict machine- readable code validation to authorized geographic locations, the machine-readable code scans made outside the predefined geo-fenced areas are flagged as counterfeit attempts and reported to stakeholders.

[0137] In accordance with one or more exemplary embodiments of the present disclosure, machine-readable code is affixed to the product using a bottom adhesive layer, the bottom adhesive layer securely retains the machine-readable code, ensuring its integrity and scannability for authentication, thereby preventing removal or displacement during product handling and distribution. The machine-readable code may be protected by a top removable layer, the top removable layer acts as a protective covering, ensuring that upon removal, the toplayer does not contain a readable code, thereby preventing unauthorized duplication, reuse, or tampering. The removal of the top layer triggers an irreversible tamper-indication mechanism, the absence or disruption of the top layer results in an alert within the system, preventing unauthorized reuse or counterfeiting of the machine-readable code. The bottom adhesive layer is designed with a tamper-proof feature, any attempt to remove the machine-readable code results in partial or complete destruction of the code, ensuring one-time usability and counterfeit prevention.

[0138] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module 120a may include the dual machine-readable code generation module 612 may be configured to generate two distinct machine-readable codes for each product, one for the outer packaging and another for the inner product, wherein the dual machine-readable codes are uniquely linked in the database to ensure authenticity verification and counterfeit detection.

[0139] In accordance with one or more exemplary embodiments of the present disclosure, the retail product authentication module is configured to verify the correspondence between the outer and inner machine-readable codes, wherein the outer machine-readable code serves as a protective layer, preventing unauthorized access to the inner machine-readable code until the outer packaging is verified as untampered. The product data analysis and authentication module may include the data analytics module, wherein the data analytics module comprises a web and market surveillance module configured to monitor product-related keywords and machine-readable codes across e-commerce platforms, advertisements, websites, and social media, wherein the web and market surveillance module utilizes web scraping tools and APIs to detect unauthorized product listings and advertisements. The product verification and tracking module may include the Al-based counterfeit detection module, the Al-based counterfeit detection module configured to detect fraudulent mimicry attempts by analyzing product-related data using phonetic similarity algorithms, spelling correction models, and contextual analysis tools, wherein the Al-based counterfeit detection module flags and reports product listings that resemble authorized products but deviate in spelling, pronunciation, or contextual meaning. The product data analysis and authentication module may include the compliance and SecurityModule, the compliance and Security Module may include the blacklist and fraud intelligence module configured to store flagged counterfeit and mimicry attempts, the flagged machine-readable codes, product names, and unauthorized listings are added to a dynamic blacklist for proactive counterfeit prevention and continuous monitoring. The product data analysis and authentication module may include the compliance and Security Module, the Compliance and Security Module may include the counterfeit reporting and enforcement module configured to generate real-time alerts for counterfeit or mimicry attempts, wherein alerts are automatically sent to manufacturers, regulatory bodies, and retailers when unauthorized product listings or counterfeit machine-readable codes are detected. The product data analysis and authentication module may include the counterfeit detection module, the counterfeit detection module configured to receive scan data of unauthorized machine-readable codes, cross-check the unauthorized machine-readable codes against the centralized database, and flag unauthorized codes for further analysis and investigation.

[0140] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module comprises a counterfeit reporting and enforcement module, the counterfeit reporting and enforcement module may be configured to log unauthorized machine-readable code scan attempts, including metadata such as location, timestamp, and scanning device information, and generate detailed reports to notify manufacturers, regulators, and stakeholders of counterfeit risks. The product verification and tracking module may include the notification module, the notification module configured to provide real-time feedback to users upon scanning a machine-readable code, wherein the notification module generates an alert when an unauthorized machine-readable code is detected, notifying the customer and relevant stakeholders of a potential counterfeit attempt. The product data analysis and authentication module may include the heatmap and consumer behavior analysis module, the heatmap and consumer behavior analysis module configured to identify patterns in unauthorized machine-readable code scan attempts, analyze geographical distribution of counterfeit activities, and generate actionable insights for product owners and regulatory authorities. The user interface module is configured to verify the authenticity of scanned machine-readable codes, wherein the scanned data is cross-referenced with encrypted metadata such as company name, manufacturing details, and product authenticity markers to detectfraudulent activities and prevent counterfeit product circulation. The product data analysis and authentication module may include the heatmap and consumer behavior analysis module, the heatmap and consumer behavior analysis module configured to collect geo-tagged machine-readable code scan data, analyze sales performance across geographic regions, and generate color-coded heatmaps representing high-sales, moderate-sales, and low-sales zones. The product data analysis and authentication module may include the heatmap and consumer behavior analysis module, wherein the heatmap and consumer behavior analysis module is configured to track consumer behavior by analyzing QR code scan patterns, identifying consumption trends, and determining regional product preferences over specific time periods.

[0141] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module may include the recommendation module, the recommendation module configured to provide actionable insights based on sales heatmap data, wherein the recommendation module suggests targeted marketing strategies for low-sales regions and loyalty programs for high-sales regions to enhance market penetration and consumer engagement. The product data analysis and authentication module may include the supply chain optimization module, the supply chain optimization module configured to adjust inventory allocation and optimize delivery routes based on real-time heatmap data, ensuring efficient distribution and minimizing supply chain inefficiencies. The user interface module may include the interactive dashboard module, the interactive dashboard module configured to display real-time heatmap analytics with zoom-in capabilities, allowing manufacturers and stakeholders to filter sales data by product category, time period, and geographic region, and enabling integration with marketing tools for launching targeted campaigns based on heatmap insights. The product verification and tracking module may include the authentication module, the authentication module configured to register and update the geolocation of products at each supply chain checkpoint, including exporting ports, importing ports, and importer warehouses, wherein each scanned machine-readable code is cross-verified with predefined checkpoints to ensure traceability. The product data analysis and authentication module may include the compliance and security module, the compliance and security module may include the trade compliance monitoring module, the trade compliance monitoring module configured to enforce mandatory scanning of machine-readable codes at predefined supply chain checkpoints andprevent unauthorized substitutions or counterfeiting during transit. The product data analysis and authentication module may include the compliance and security module, the compliance and security module may include the blockchain authentication ledger module, the blockchain authentication ledger module configured to store immutable transaction logs of machine-readable code scans, ensuring product authenticity and tamper-proof tracking across the supply chain.

[0142] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module comprises a compliance and security module, the compliance and security module comprising a regulatory oversight access module, the regulatory oversight access module configured to provide government regulatory bodies with real-time access to the blockchain authentication ledger, wherein regulatory authorities can verify the authenticity of shipments at any stage. The product data analysis and authentication module may include the visual counterfeit detection module, the visual counterfeit detection module configured to detect discrepancies between expected shipment routes, and scanned machine-readable code locations using Al-powered fraud detection, wherein the system generates alerts when unauthorized modifications to product shipment routes are detected. The product data analysis and authentication module may include the permanent UID generation module, the permanent UID generation module configured to assign a unique serial number to each product (spare part) at the manufacturing stage, wherein the unique serial number is physically embedded onto the product (spare part) or its components using at least one of laser engraving, chemical etching, or UV printing, and wherein the unique serial number is digitally linked to a machine-readable code at the time of packaging. The product verification and tracking module is configured to generate and transmit real-time activation notifications to stakeholders including manufacturers, dealers, and regulatory authorities, the notifications include details such as product identification, activation timestamp, geolocation, and authentication status. The product verification and tracking module may be configured to monitor industry-specific compliance requirements, including dairy and perishable goods, expiry alerts notifying retailers and consumers of product shelf-life, pharmaceuticals: compliance validation for drug authenticity and regulatory tracking. The product verification and tracking module may include the warranty verification module, the warranty verification module configured to automatically register a product’s warranty upon scanning the machine- readablecode at an authorized retail point or by an end consumer, wherein the warranty details are stored in a secure, immutable database accessible by manufacturers, service centers, and authorized personnel.

[0143] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module may include the counterfeit detection module, wherein the counterfeit detection module is configured to detect unauthorized duplicate serial numbers by cross-referencing the permanent UID with the manufacturer’s backend system, wherein the counterfeit detection module generates alerts when an invalid UID or mismatched geolocation data is identified. The product data analysis and authentication module may include the unauthorized machine-readable code detection module, the unauthorized machine-readable code detection module configured to automatically blacklist counterfeit products when scanned outside the authorized network and notify stakeholders of potential counterfeit risks. The product verification and tracking module may include the scanning and verification module, the scanning and verification module configured to utilize the permanent UID and machine-readable code as a reference record for product lifecycle tracking, wherein the scanning and verification module facilitates manufacturing verification, packaging validation, retail sales tracking, warranty activation, and replacement part authentication at authorized repair centers. The product data analysis and authentication module may include the compliance and security module, wherein the compliance and security module comprises a secure API and code verification module, the secure API and code verification module may be configured to allow manufacturers, retailers, and service centers to verify warranty claims using the permanent UID and machine-readable code, wherein the secure API and code verification module further enables real-time tracking of product inventory, sales, and service history. The product verification and tracking module may include the notification module, the notification module configured to generate and transmit real-time notifications to users regarding product warranty status, upcoming expirations, and recall alerts, ensuring proactive engagement and informed decisionmaking. The user interface module may be configured to synchronize with point-of-sale (POS) systems, allowing automatic retrieval of purchase details, including product metadata, payment mode, and transaction history, further enabling users to manually scan and upload product data for independent warranty tracking and service requests. The user interface module may includethe product categorization and management module, the product categorization and management module configured to automatically group scanned product data under respective company names, enabling users to maintain a categorized history of scanned products. The user interface module may be configured to provide real-time product tracking, verification, and management through an interactive dashboard, allowing users to monitor product status, scan history, and receive alerts related to product authentication, warranty status, and expiration notifications. The user interface module may include the product categorization and management module, the product categorization and management module configured to categorize scanned products under company-specific records and predefined categories, including product type, industry classification, and purchase history, enabling streamlined product organization and tracking. The user interface module may include the advanced product categorization module, the advanced product categorization module configured to enable hierarchical categorization of products using predefined heads such as food, medicine, electronics, and fashion, further grouping them into subcategories such as beverages, prescription drugs, and apparel for enhanced user navigation. The user interface module may include the visual Ul-based categorization module, the visual UI-based categorization module configured to provide an icon-based graphical user interface, wherein users can visually select and filter categorized products for improved accessibility and user experience. The user interface module may include the product ownership transfer module, the product ownership transfer module configured to allow registered users to transfer product ownership details during or after a transaction, enabling the new owner to access product details, warranty claims, and service options, while updating the product’s digital record in the centralized database. The user interface module may include the data privacy and compliance module, the data privacy and compliance module configured to enable secure storage of user and product-related data, allowing users to manage their privacy settings, opt-in or opt-out of promotional messages, and ensure compliance with data protection regulations. The user interface module is configured to allow manufacturers and product owners to send targeted promotional messages, product recall alerts, and critical updates directly to users through the product categorization and management module, wherein users can control communication preferences for enabling or disabling promotional notifications.

[0144] In accordance with one or more exemplary embodiments of the present disclosure, the product data analysis and authentication module may include the machine-readable code generation module, the machine-readable code generation module configured to generate a unique machine-readable code for each product unit and its corresponding outer packaging, wherein the machine-readable code of the outer packaging is linked to the individual product units inside it to enable hierarchical product tracking. The product data analysis and authentication module is configured to assign a unique machine-readable code to each invoice, linking it to all associated product boxes and packets, ensuring synchronized tracking and updates across the supply chain. The product data analysis and authentication module may include the compliance and regulatory monitoring module configured to enforce mandatory scanning of invoice-level machine-readable codes at all customs checkpoints, ensuring comprehensive verification. The machine-readable code activation module may include the audit logging and tamper prevention module configured to record updates and scan history associated with invoice-level machine-readable codes, ensuring traceability and regulatory compliance. The product verification and tracking module may include the notification module configured to notify stakeholders of any discrepancies or updates related to invoice-level scans, enhancing transparency in the supply chain. The product verification and tracking Module configured to update the database when product scans occur at export and import checkpoints, ensuring realtime traceability, and sending automated alerts to customs authorities when importers delay the scanning process through the notification module, aiding in regulatory enforcement.

[0145] In accordance with one or more exemplary embodiments of the present disclosure, the POS product authentication module may include the POS scanning validation module may be configured to cross-verify scanned product codes against a centralized inventory in the database before allowing billing transactions. The POS product authentication module may include the fraud prevention and blacklist enforcement module is configured to automatically block billing when a scanned product does not match the centralized inventory in the database. The product data analysis and authentication module may be configured to generate a dual machine-readable code, with the inner code pre-printed inside the product packaging and remaining inactive until the product is sealed. The machine-readable code activation module may include the sealing machine integration module is configured to ensure that both the inner andouter machine-readable codes are activated simultaneously upon successful product sealing, with associated metadata (timestamp, geolocation, sealing device ID) being recorded. The product verification and tracking module may include the authentication module is configured to facilitate consumer-level authentication by cross-verifying the activation metadata (timestamp and geolocation) of inner and outer codes upon scanning, confirming product authenticity. The product verification and tracking module may include the notification Module is configured to generate real-time alerts when the inner machine-readable code is scanned before the product is opened, ensuring immediate action against potential counterfeit attempts. The product data analysis and authentication module may include the dual machine-readable code generation module is configured to generate an inner machine-readable code embedded within product packaging, such as inside a pouch, or sealed bag, ensuring the code remains inaccessible until the product is opened. The product verification and tracking module may be configured to authenticate the inner machine-readable code upon product usage by the consumer, ensuring proper utilization of subsidized or regulated goods. The product verification and tracking module comprises the AI-Based counterfeit detection module is configured to analyze discrepancies in scan timing and locations of the inner machine-readable code, flagging anomalies that suggest potential misuse or counterfeit attempts. The user interface module may be configured to enable the user with direct access to customer care services after warranty registration, enabling interactions through chat, email, or a dedicated helpline.

[0146] Reference throughout this specification to “one embodiment”, “an embodiment”, or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrases “in one embodiment”, “in an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

[0147] Although the present disclosure has been described in terms of certain preferred embodiments and illustrations thereof, other embodiments and modifications to preferred embodiments may be possible that are within the principles of the invention. The above descriptions and figures are therefore to be regarded as illustrative and not restrictive.

[0148] Thus, the scope of the present disclosure is defined by the appended claims and includes both combinations and sub-combinations of the various features described hereinabove as well as variations and modifications thereof, which would occur to persons skilled in the art upon reading the foregoing description.

Claims

CLAIMSClaim1. A system for secure product tracking and authenticating using preprinted machine-readable codes with geo-fencing, comprising:a first computing device comprising a machine-readable code activation module, wherein the machine-readable code activation module is configured to enable a manufacturer to register on the system by submitting product details, regulatory compliance documents, geolocation data, and other credentials for requesting preprinted machine-readable codes for products, the machine-readable code activation module transmits the manufacturer request with product details and geolocation data to a server over a network;the server comprises a product data analysis and authentication module, wherein the product data analysis and authentication module configured to receive the manufacturer request with product details and geolocation data from the first computing device, wherein the product data analysis and authentication module configured to generate machine-readable codes associated with a geo-fencing activation link, ensuring activation occurs only at an authorized location, wherein each machine-readable code is linked to product metadata, batch information, and geo-fencing activation parameters, and store the generated machine-readable codes with unique identifiers in a database, the product data analysis and authentication module transmit the generated machine-readable codes with geo-fencing activation parameters to the first computing device over the network;the machine-readable code activation module on the first computing device is configured to receive the generated machine-readable codes from the server and enable the manufacturer to utilize machine-readable codes at least one of the following procedures: printing the machine-readable codes directly onto product packaging during the standard packaging and labeling process, ensuring seamless integration with existing manufacturing workflows; generating labels embeddedwith authentication mechanisms, wherein the machine-readable codes are preprinted on a sticker-based two-layer structure and affixed to the product, ensuring tamper-proof authentication and counterfeit prevention;the machine-readable code activation module on the first computing device enables the manufacturer to activate the machine-readable codes using a geo-fencing activation link, wherein the machine-readable code activation module determines the manufacturer's geolocation coordinates at the time of activation and transmits the manufacturer’s geolocation coordinates to the server for verification, the product data analysis and authentication module on the server cross-checks the received coordinates against the pre-registered activation location stored in the database when the manufacturer’s geolocation coordinates match the pre-registered activation location, the machine-readable code is activated, and a timestamp is recorded and stored as an active record in the database, when the manufacturer’s geolocation coordinates do not match the pre-registered activation location, the machine-readable code activation module restricts activation and prevents further use outside the authorized location;a second computing device comprising a product verification and tracking module, wherein the product verification and tracking module is configured to enable users, retailers, dealers, and stakeholders to scan and verify the machine-readable code at various checkpoints in the supply chain using a scanning device, the product verification and tracking module is configured to authenticate the product’s legitimacy by cross-referencing the scanned machine-readable code against the server database in real-time and identify counterfeit attempts using Al-based counterfeit detection and mimicry identification, wherein Al algorithms analyze product names, packaging details, and phonetic / spelling similarities to detect fraudulent attempts and the product verification and tracking module flags unauthorized codes that mimic registered products and notifies stakeholders of counterfeit risks;a third computing device comprising a POS product authentication module, wherein the POS product authentication module configured to authenticate products at the point of sale before a transaction is completed, ensuring that only valid machine-readable codes are processed and validated scanned machine-readable codes against the server database to prevent the sale of counterfeit products, wherein the POS product authentication module configured to handle unauthorized machine-readable codes by redirecting them to the database, wherein the product data analysis and authentication module on the server when a scanned code is not recognized, the product data analysis and authentication module logs metadata, including location, timestamp, and device ID and generates a real-time alert to notify product owners, retailers, and regulatory authorities;a fourth computing device comprising a retail product authentication module, wherein the retail product authentication module is configured to verify the authenticity of products before they are stocked or sold at the retailer level by crossreferencing machine-readable codes with backend records on the server;the server comprising the product data analysis and authentication module, wherein the product data analysis and authentication module is configured to provide heatmap-based sales analytics and consumer insights, wherein Geo-tagged machine-readable code scan data is collected to analyze product movement, sales performance, and consumer behavior, thereby generating heatmaps to visualize high-demand zones, low-sales areas, and market penetration, allowing stakeholders to optimize marketing and distribution strategies; anda user interface module on the second computing device configured to provide realtime product tracking and verification through an interactive dashboard, allowing users to monitor product status, scan history, and alerts, the user interface module configured to enable product categorization and management, wherein scanned products are organized by manufacturer, category, and purchase history and userreceive expiry alerts, warranty details, and recall notifications directly from manufacturers.

2. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises a sealing machine integration module, the sealing machine integration module configured to ensure that machine-readable codes are activated only upon successful product sealing, wherein the mobile sealer captures sealing metadata including timestamp, geolocation, and mobile sealer ID and transmits it to the product data analysis and authentication module for validation before activation.

3. The system as claimed in claim 1, wherein the product data analysis and authentication module cross-verifies the sealing metadata against pre-registered product packaging data and geo-fencing parameters, and upon successful validation, the machine-readable code is activated and updated in the database as a valid product entry; otherwise, activation is restricted, and an alert is generated for unauthorized sealing attempts.

4. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises a sealing machine integration module, the sealing machine integration module configured to enable integration with mobile sealing devices, wherein the sealing machine integration module communicates with sealing devices to validate the sealing status of products in real-time and triggers the activation of the machine-readable code only upon successful product sealing.

5. The system as claimed in claim 1, wherein the machine-readable code activation module comprises the sealing machine integration module, the sealing machine integration module configured to capture sealing metadata, including timestamp, geolocation, and sealing device ID, and transmit the metadata to the product data analysis and authentication module on the server for validation before activating the machine-readable code.

6. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises the sealing machine integration module, the sealing machine integration moduleconfigured to ensure tamper-proof product packaging by embedding a unique sealing identifier into the activated machine-readable code, thereby preventing unauthorized reuse or replication.

7. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises the sealing machine integration module, the sealing machine integration module configured to automatically trigger the activation of dual machine-readable codes upon successful sealing, wherein the sealing machine captures metadata including timestamp, geolocation, and sealing device ID, and transmits it to the product data analysis and authentication module for validation before activation.

8. The system as claimed in claim 1, wherein the machine-readable code activation module comprises a mobile sealing and printer communication module, the mobile sealing and printer communication module configured to integrate with handheld printers via Bluetooth, Wi-Fi, or USB, enabling real-time generation and printing of machine-readable codes upon successful product sealing.

9. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises the mobile sealing and printer communication module, the mobile sealing and printer communication module configured to allow users to customize machine-readable codes in real-time by embedding product-specific details, timestamps, and geolocation data before printing.

10. The system as claimed in claim 1, wherein the machine-readable code activation module comprises a printer integration module, the printer integration module configured to support offline printing of machine-readable codes, wherein offline-generated codes are stored locally and synchronized with the server upon reconnection.

11. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises the printer integration module, the printer integration module configured toenable batch printing and on-demand printing of machine-readable codes, wherein users can generate multiple codes in bulk or print individual codes as required.

12. The system as claimed in claim 1, wherein the machine-readable code activation module comprises the printer integration module, the printer integration module configured to enable the dynamic printing of dual machine-readable codes using mobile or fixed printers, wherein the printer integration module is further configured to embed real-time metadata, including geo-coordinates, timestamps, and product batch details, within the printed machine-readable codes.

13. The system as claimed in claim 1, wherein the product data analysis and authentication module lock the machine-readable code data post-activation, ensuring that once a machine- readable code is activated, it cannot be altered, reused, or duplicated, thereby preventing unauthorized modifications and counterfeit attempts.

14. The system as claimed in claim 1, wherein the machine-readable code activation module comprises a device authorization and secure access module, the device authorization and secure access module configured to restrict the activation of machine-readable codes to registered devices or authorized web platforms, ensuring that activation attempts from unauthorized devices are blocked.

15. The system as claimed in claim 1, wherein the machine-readable code activation module comprises a geo-fenced activation link validation module, wherein the geo-fenced activation link validation module is configured to restrict machine-readable code validation to authorized geographic locations, wherein machine-readable code scans made outside the predefined geo-fenced areas are flagged as counterfeit attempts and reported to stakeholders.

16. The system as claimed in claim 1, wherein the machine- readable code is affixed to the product using a bottom adhesive layer, wherein the bottom adhesive layer securely retainsthe machine-readable code, ensuring its integrity and scannability for authentication, thereby preventing removal or displacement during product handling and distribution.

17. The system as claimed in claim 1, wherein the machine-readable code is protected by a top removable layer, wherein the top removable layer acts as a protective covering, ensuring that upon removal, the top layer does not contain a readable code, thereby preventing unauthorized duplication, reuse, or tampering.

18. The system as claimed in claim 1, wherein the removal of the top layer triggers an irreversible tamper-indication mechanism, wherein the absence or disruption of the top layer results in an alert within the system, preventing unauthorized reuse or counterfeiting of the machine-readable code.

19. The system as claimed in claim 1, wherein the bottom adhesive layer is designed with a tamper-proof feature, wherein any attempt to remove the machine-readable code results in partial or complete destruction of the code, ensuring one-time usability and counterfeit prevention.

20. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a dual machine-readable code generation module, the dual machine- readable code generation module configured to generate two distinct machine-readable codes for each product, one for the outer packaging and another for the inner product, wherein the dual machine-readable codes are uniquely linked in the database to ensure authenticity verification and counterfeit detection.

21. The system as claimed in claim 1, wherein the retail product authentication module is configured to verify the correspondence between the outer and inner machine-readable codes, wherein the outer machine-readable code serves as a protective layer, preventing unauthorized access to the inner machine-readable code until the outer packaging is verified as untampered.

22. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a data analytics module, wherein the data analytics module comprises a web and market surveillance module configured to monitor product-related keywords and machine-readable codes across e-commerce platforms, advertisements, websites, and social media, wherein the web and market surveillance module utilizes web scraping tools and APIs to detect unauthorized product listings and advertisements.

23. The system as claimed in claim 1, wherein the product verification and tracking module comprises an Al-based counterfeit detection module, the Al-based counterfeit detection module configured to detect fraudulent mimicry attempts by analyzing product-related data using phonetic similarity algorithms, spelling correction models, and contextual analysis tools, wherein the Al-based counterfeit detection module flags and reports product listings that resemble authorized products but deviate in spelling, pronunciation, or contextual meaning.

24. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, the compliance and security module comprises a blacklist and fraud intelligence module configured to store flagged counterfeit and mimicry attempts, wherein flagged machine-readable codes, product names, and unauthorized listings are added to a dynamic blacklist for proactive counterfeit prevention and continuous monitoring.

25. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, the compliance and security module comprises a counterfeit reporting and enforcement module configured to generate real-time alerts for counterfeit or mimicry attempts, wherein alerts are automatically sent to manufacturers, regulatory bodies, and retailers when unauthorized product listings or counterfeit machine-readable codes are detected.

26. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a counterfeit detection module, the counterfeit detection moduleconfigured to receive scan data of unauthorized machine-readable codes, cross-check the unauthorized machine-readable codes against the database, and flag unauthorized codes for further analysis and investigation.

27. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a counterfeit reporting and enforcement module, the counterfeit reporting and enforcement module configured to log unauthorized machine-readable code scan attempts, including metadata such as location, timestamp, and scanning device information, and generate detailed reports to notify manufacturers, regulators, and stakeholders of counterfeit risks.

28. The system as claimed in claim 1, wherein the product verification and tracking module comprises a notification module, the notification module configured to provide real-time feedback to users upon scanning a machine-readable code, wherein the notification module generates an alert when an unauthorized machine-readable code is detected, notifying the customer and relevant stakeholders of a potential counterfeit attempt.

29. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a heatmap and consumer behavior analysis module, the heatmap and consumer behavior analysis module configured to identify patterns in unauthorized machine-readable code scan attempts, analyze geographical distribution of counterfeit activities, and generate actionable insights for product owners and regulatory authorities.

30. The system as claimed in claim 1 , wherein the user interface module is configured to verify the authenticity of scanned machine-readable codes, wherein the scanned data is cross- referenced with encrypted metadata such as company name, manufacturing details, and product authenticity markers to detect fraudulent activities and prevent counterfeit product circulation.

31. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a heatmap and consumer behavior analysis module, the heatmap andconsumer behavior analysis module configured to collect geo-tagged machine-readable code scan data, analyze sales performance across geographic regions, and generate color- coded heatmaps representing high-sales, moderate-sales, and low-sales zones.

32. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a heatmap and consumer behavior analysis module, wherein the heatmap and consumer behavior analysis module is configured to track consumer behavior by analyzing machine-readable code scan patterns, identifying consumption trends, and determining regional product preferences over specific time periods.

33. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a recommendation module, the recommendation module configured to provide actionable insights based on sales heatmap data, wherein the recommendation module suggests targeted marketing strategies for low-sales regions and loyalty programs for high-sales regions to enhance market penetration and consumer engagement.

34. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a supply chain optimization module, the supply chain optimization module configured to adjust inventory allocation and optimize delivery routes based on real-time heatmap data, ensuring efficient distribution and minimizing supply chain inefficiencies.

35. The system as claimed in claim 1, wherein the user interface module comprises an interactive dashboard module, the interactive dashboard module configured to display realtime heatmap analytics with zoom-in capabilities, allowing manufacturers and stakeholders to filter sales data by product category, time period, and geographic region, and enabling integration with marketing tools for launching targeted campaigns based on heatmap insights.

36. The system as claimed in claim 1, wherein the product verification and tracking module comprises an authentication module, the authentication module configured to register andupdate the geolocation of products at each supply chain checkpoint, including exporting ports, importing ports, and importer warehouses, wherein each scanned machine-readable code is cross-verified with predefined checkpoints to ensure traceability.

37. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, the compliance and security module comprising a trade compliance monitoring module, the trade compliance monitoring module configured to enforce mandatory scanning of machine-readable codes at predefined supply chain checkpoints and prevent unauthorized substitutions or counterfeiting during transit.

38. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, wherein the compliance and security module comprises a blockchain authentication ledger module, the blockchain authentication ledger module configured to store immutable transaction logs of machine- readable code scans, ensuring product authenticity and tamper-proof tracking across the supply chain.

39. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, the compliance and security module comprising a regulatory oversight access module, the regulatory oversight access module configured to provide government regulatory bodies with real-time access to the blockchain authentication ledger, wherein regulatory authorities can verify the authenticity of shipments at any stage.

40. The system as claimed in claim 1, wherein the product data analysis and authentication module comprise a visual counterfeit detection module, the visual counterfeit detection module configured to detect discrepancies between expected shipment routes and scanned machine-readable code locations using Al-powered fraud detection, wherein the system generates alerts when unauthorized modifications to product shipment routes are detected.

41. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a permanent UID generation module, the permanent UID generation module configured to assign a unique serial number to each product (spare part) at the manufacturing stage, wherein the unique serial number is physically embedded onto the product (spare part) or its components using at least one of laser engraving, chemical etching, or UV printing, and wherein the unique serial number is digitally linked to a machine-readable code at the time of packaging.

42. The system as claimed in claim 1 , wherein the product verification and tracking module is configured to generate and transmit real-time activation notifications to stakeholders including manufacturers, dealers, and regulatory authorities, wherein the notifications include details such as product identification, activation timestamp, geolocation, and authentication status.

43. The system as claimed in claim 1, wherein the product verification and tracking module is configured to monitor industry-specific compliance requirements, including dairy and perishable goods, expiry alerts notifying retailers and consumers of product shelf-life, pharmaceuticals: compliance validation for drug authenticity and regulatory tracking.

44. The system as claimed in claim 1, wherein the product verification and tracking module comprises a warranty verification module, the warranty verification module configured to automatically register a product’s warranty upon scanning the machine-readable code at an authorized retail point or by an end consumer, wherein the warranty details are stored in a secure, immutable database accessible by manufacturers, service centers, and authorized personnel.

45. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a counterfeit detection module, wherein the counterfeit detection module is configured to detect unauthorized duplicate serial numbers by cross-referencing the permanent UID with the manufacturer’s backend system, wherein the counterfeitdetection module generates alerts when an invalid UID or mismatched geolocation data is identified.

46. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises an unauthorized machine-readable code detection module, the unauthorized machine-readable code detection module configured to automatically blacklist counterfeit products when scanned outside the authorized network and notify stakeholders of potential counterfeit risks.

47. The system as claimed in claim 1, wherein the product verification and tracking module comprises a scanning and verification module, the scanning and verification module configured to utilize the permanent UID and machine-readable code as a reference record for product lifecycle tracking, wherein the scanning and verification module facilitates manufacturing verification, packaging validation, retail sales tracking, warranty activation, and replacement part authentication at authorized repair centers.

48. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a compliance and security module, wherein the compliance and security module comprises a secure API and code verification module, the secure API and code verification module configured to allow manufacturers, retailers, and service centers to verify warranty claims using the permanent UID and machine-readable code, wherein the secure API and code verification module further enables real-time tracking of product inventory, sales, and service history.

49. The system as claimed in claim 1, wherein the product verification and tracking module comprises a notification module, the notification module configured to generate and transmit real-time notifications to users regarding product warranty status, upcoming expirations, and recall alerts, ensuring proactive engagement and informed decisionmaking.

50. The system as claimed in claim 1, wherein the user interface module is configured to synchronize with point-of-sale (POS) systems, allows automatic retrieval of purchase details, including product metadata, payment mode, and transaction history, further enabling users to manually scan and upload product data for independent warranty tracking and service requests.

51. The system as claimed in claim 1, wherein the user interface module comprises a product categorization and management module, the product categorization and management module configured to automatically group scanned product data under respective company names, enabling users to maintain a categorized history of scanned products.

52. The system as claimed in claim 1, wherein the user interface module configured to provide real-time product tracking, verification, and management through an interactive dashboard, allowing users to monitor product status, scan history, and receive alerts related to product authentication, warranty status, and expiration notifications53. The system as claimed in claim 1, wherein the user interface module comprises a product categorization and management module, the product categorization and management module configured to categorize scanned products under company-specific records and predefined categories, including product type, industry classification, and purchase history, enabling streamlined product organization and tracking.

54. The system as claimed in claim 1, wherein the user interface module comprises an advanced product categorization module, the advanced product categorization module configured to enable hierarchical categorization of products using predefined heads such as food, medicine, electronics, and fashion, further grouping them into subcategories such as beverages, prescription drugs, and apparel for enhanced user navigation.

55. The system as claimed in claim 1, wherein the user interface module comprises a visual Ul-based categorization module, the visual Ul-based categorization module configured toprovide an icon-based graphical user interface, wherein users can visually select and filter categorized products for improved accessibility and user experience.

56. The system as claimed in claim 1, wherein the user interface module comprises a product ownership transfer module, the product ownership transfer module configured to allow registered users to transfer product ownership details during or after a transaction, enabling the new owner to access product details, warranty claims, and service options, while updating the product’s digital record in the centralized database.

57. The system as claimed in claim 1, wherein the user interface module comprises a data privacy and compliance module, the data privacy and compliance module configured to enable secure storage of user and product-related data, allowing users to manage their privacy settings, opt-in or opt-out of promotional messages, and ensure compliance with data protection regulations.

58. The system as claimed in claim 1, wherein the user interface module is configured to allow manufacturers and product owners to send targeted promotional messages, product recall alerts, and critical updates directly to users through the product categorization and management module, wherein users can control communication preferences for enabling or disabling promotional notifications.

59. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises a machine-readable code generation module, the machine-readable code generation module configured to generate a unique machine- readable code for each product unit and its corresponding outer packaging, wherein the machine-readable code of the outer packaging is linked to the individual product units inside it to enable hierarchical product tracking.

60. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises the machine-readable code generation module, the machine-readable code generation module configured to assign a unique machine-readable code to eachinvoice, linking it to all associated product boxes and packets, ensuring synchronized tracking and updates across the supply chain.

61. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises the compliance and regulatory monitoring module configured to enforce mandatory scanning of invoice-level machine-readable codes at all customs checkpoints, ensuring comprehensive verification.

62. The system as claimed in claim 1 , wherein the machine-readable code activation module comprises the audit logging and tamper prevention module configured to record updates and scan history associated with invoice-level machine-readable codes, ensuring traceability and regulatory compliance.

63. The system as claimed in claim 1, wherein the product verification and tracking module comprises the notification module configured to notify stakeholders of any discrepancies or updates related to invoice-level scans, enhancing transparency in the supply chain.

64. The system as claimed in claim 1, wherein the product verification and tracking module configured to update the database when product scans occur at export and import checkpoints, ensuring real-time traceability, and sending automated alerts to customs authorities when importers delay the scanning process through the notification module, aiding in regulatory enforcement.

65. The system as claimed in claim 1, wherein the POS product authentication module comprises the POS scanning validation module is configured to cross-verify scanned product codes against a centralized inventory in the database before allowing billing transactions.

66. The system as claimed in claim 1, wherein the POS product authentication module comprises a fraud prevention and blacklist enforcement module is configured toautomatically block billing when a scanned product does not match the centralized inventory in the database.

67. The system as claimed in claim 1, wherein the product data analysis and authentication module configured to generate a dual machine-readable code, with the inner code preprinted inside the product packaging and remaining inactive until the product is sealed.

68. The system as claimed in claim 1, wherein the machine-readable code activation module comprises the sealing machine integration module is configured to ensure that both the inner and outer machine-readable codes are activated simultaneously upon successful product sealing, with associated metadata (timestamp, geolocation, sealing device ID) being recorded.

69. The system as claimed in claim 1, wherein the product verification and tracking module comprises the authentication module is configured to facilitate consumer-level authentication by cross-verifying the activation metadata (timestamp and geolocation) of inner and outer codes upon scanning, confirming product authenticity.

70. The system as claimed in claim 1, wherein the product verification and tracking module comprises a notification module is configured to generate real-time alerts when the inner machine-readable code is scanned before the product is opened, ensuring immediate action against potential counterfeit attempts.

71. The system as claimed in claim 1, wherein the product data analysis and authentication module comprises the dual machine-readable code generation module is configured to generate an inner machine-readable code embedded within product packaging, such as inside a pouch, or sealed bag, ensuring the code remains inaccessible until the product is opened.

72. The system as claimed in claim 1 , wherein the product verification and tracking module is configured to authenticate the inner machine-readable code upon product usage by the consumer, ensuring proper utilization of subsidized or regulated goods.

73. The system as claimed in claim 1, wherein the product verification and tracking module comprises the Al-based counterfeit detection module is configured to analyze discrepancies in scan timing and locations of the inner machine-readable code, flagging anomalies that suggest potential misuse or counterfeit attempts.

74. The system as claimed in claim 1, wherein the user interface module configured to enable the user with direct access to customer care services after warranty registration, enabling interactions through chat, email, or dedicated helpline.

75. A method for secure product tracking and authenticating using preprinted machine- readable codes with geo-fencing, comprising:enabling a manufacturer to register on the system by submitting product details, regulatory compliance documents, and geolocation data via a first computing device;transmitting the manufacturer’s request to a server over a network;generating machine-readable codes with geo-fencing activation parameters through a product data analysis and authentication module on the server;storing the generated machine-readable codes with unique identifiers in a database and transmitting them to the first computing device;enabling the manufacturer to utilize the machine-readable codes by either printing them directly onto product packaging or embedding them within a sticker-based two-layer structure for authentication and counterfeit prevention;activating the machine-readable codes using a geo-fencing activation link, wherein activation occurs only when the manufacturer’s geolocation coordinates match preregistered activation locations stored in the server database;allowing users, retailers, and stakeholders to scan and verify machine-readable codes at various checkpoints in the supply chain via a second computing device;authenticating scanned machine-readable codes by cross-referencing them against the server database in real-time and detecting counterfeit attempts using Al-based counterfeit detection;enabling authentication at the point of sale through a third computing device, preventing counterfeit product sales, and generating real-time alerts for unauthorized scans;verifying the authenticity of products at the retail level via a fourth computing device, ensuring compliance with backend records stored on the server;collecting geo-tagged scan data for heatmap-based sales analytics and consumer insights, enabling stakeholders to visualize sales trends and optimize market strategies; andproviding real-time product tracking, verification, and management through an interactive user interface on the second computing device, allowing users to monitor product status, scan history, and receive warranty and recall notifications.

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