Gold and jewelry industry e-commerce SaaS cloud service implementation method and system

Abstract

The invention relates to the technical field of commercial financial information management, and discloses a gold and jewelry industry e-commerce SaaS cloud service implementation method and system, and the method comprises the steps: creating a unique digital identity certificate for a jewelry commodity, binding a physical entity of the commodity with the certificate through the microscopic features of the surface of the physical entity, and carrying out the verification of the physical entity; the dynamic financial attributes of the vouchers are automatically updated periodically according to the offers of the external market, and delivery of the voucher management authority is realized when the ownership is transferred. Therefore, the jewelry originally existing as static commodity information in a management system is converted into a digital asset of which the value can be measured in real time and the identity can be verified at any time, so that a manager can view and operate the inventory from an asset perspective, visually perceive the fluctuation of the fair value, and improve the management efficiency. Therefore, the fundamental limitation of disjunction of commodity attributes and asset attributes in a traditional inventory management mode is avoided.

Description

TECHNICAL FIELD

[0001] The application relates to a gold jewelry industry e-commerce SaaS cloud service implementation method and system, and belongs to the technical field of commercial financial information management. BACKGROUND

[0002] At present, gold jewelry is a special item with both commodity and financial dual attributes, the value of which fluctuates with the market in real time and each entity has uniqueness, the existing SaaS system is usually simplified as a static ordinary commodity for management in design, which is inherently mismatched with the asset attributes of jewelry, and thus causes a series of long-term risks and transaction barriers in subsequent circulation links.

[0003] This mismatch causes managers to be unable to track the real fair value of their inventory assets in real time, and also makes it difficult to verify the authenticity of the identity of jewelry at low cost and reliably when entering the secondary transaction or pawn and other high-trust links, because traditional paper certificates or external labels and other identifiers cannot solve the risk of forgery after the physical entity and digital information are separated.

[0004] Specifically, the existing technical methods mainly show the following deficiencies in actual application: 1. Lack of reliable binding technology for jewelry physical entity and its digital identity, which makes it difficult to guarantee the credibility of the identity in circulation; 2. The static attribute of digital records makes it impossible to reflect the real-time changes of asset value with the market; 3. The authentication barrier of identity and value system limits the efficient flow of jewelry assets in a wider commercial context. Therefore, how to create a unique digital identity that can be firmly bound with the physical entity of jewelry, and enable the identity to dynamically carry the financial value fluctuating with the market, and then ensure the reliable verification of its identity and the traceability of its value in the whole life cycle of the right ownership circulation, has become a technical problem to be solved by the application. SUMMARY

[0005] The application provides a gold jewelry industry e-commerce SaaS cloud service implementation method, which mainly aims to solve the problem that the existing technology cannot reliably bind the digital identity of jewelry with its physical entity, and the digital identity cannot dynamically reflect the real asset value, thereby limiting its application in circulation and financial scenarios.

[0006] To achieve the above purpose, the application provides a gold jewelry industry e-commerce SaaS cloud service implementation method, which comprises: Step a, in response to the first storage instruction of the jewelry commodity, a unique digital identity certificate is created for the jewelry commodity on the cloud server, and the digital identity certificate contains the invariable attributes set for the jewelry commodity; Step b, determining a verification area on the jewelry commodity, obtaining a microscopic feature image taken on the verification area, extracting a first image feature descriptor from the microscopic feature image, and storing the first image feature descriptor in association with the digital identity certificate to establish a binding relationship between the physical entity of the jewelry commodity and its digital identity certificate; Step c, periodically obtaining real-time market quotes corresponding to the precious metal components of the jewelry commodity from an external precious metal exchange, and automatically updating a dynamic financial attribute in the digital identity certificate for representing asset value according to the real-time market quotes and the precious metal weight and purity recorded in the immutable attributes; Step d, when the ownership of the jewelry commodity is transferred, transferring the management authority of the digital identity certificate from the transferor account to the transferee account; Step e, when the binding relationship needs to be verified, obtaining a microscopic feature image taken again on the verification area, extracting a second image feature descriptor therefrom, and determining whether the second image feature descriptor is consistent with the first image feature descriptor.

[0007] Preferably, after step c, the method further comprises: providing an aggregated display interface on the SaaS cloud service platform, the aggregated display interface being used to display the total value of the dynamic financial attributes corresponding to one or more digital identity certificates in the platform in real time, and historical fluctuation data of the total value.

[0008] Preferably, the method further comprises: recording the association with the digital identity certificate and historical business process state change events occurring in the life cycle of the jewelry commodity, and classifying and marking the historical business process state change events; and dynamically adjusting an additional value evaluation factor of the digital identity certificate according to a rule base defining the event type and value influence logic, and analyzing the classified and marked event sequence.

[0009] Preferably, the method further comprises: continuously recording the type and timestamp of each interaction event associated with each digital identity certificate; and within a time window, calculating an interaction entropy value based on the frequency distribution of the types of interaction events wherein wherein, is a set of interaction event types, is the type of the interaction event, is the frequency of the type of the interaction event within the time window; and when the interaction entropy value is higher than a first threshold value or lower than a second threshold value, automatically generating a pre-warning notification related to potential management risks or marketing opportunities.

[0010] Preferably, the method further comprises: encapsulating each operation on the digital identity certificate as a transaction data block containing a timestamp when the terminal device is disconnected from the cloud server; and chaining each newly generated transaction data block with the previous generated transaction data block through a hash value, thereby forming an operation history chain locally on the terminal device; and after the terminal device restores network connection, uploading the operation history chain to the cloud server as a whole, and only after passing the integrity check, updating the digital identity certificate according to the order of the operation history chain.

[0011] Preferably, in step e, when it is determined that the second image feature descriptor is inconsistent with the first image feature descriptor, the method further comprises: recording an authentication failure event at the cloud server, which contains the event time information and the event geographic location information of the model information of the goods associated with the digital identity certificate; and when the number of authentication failure events exceeds a number threshold in a time period and a geographic area, pushing a counterfeit risk warning for a specific model of goods to the merchant user in the geographic area.

[0012] Preferably, in step e, the step of obtaining the microscopic feature image re-shot in the verification area comprises: collecting a dynamic image sequence containing multiple frames of images; and the step of determining whether the second image feature descriptor is consistent with the first image feature descriptor comprises: extracting image feature descriptors of the multiple frames of images respectively to form a group of test image feature descriptors; and when the number of feature points in the first image feature descriptor that can be matched in the group of test image feature descriptors exceeds a matching number threshold, it is determined to be consistent.

[0013] Preferably, the method further comprises: updating the corresponding dynamic state attribute in the digital identity certificate according to the business process state change of the jewelry goods; wherein the business process state change comprises scanning the physical anchor medium associated with the digital identity certificate through the mobile terminal to switch between the in-store, out-of-store consignment and repair states.

[0014] Preferably, in step d, the step of transferring the management right of the digital identity certificate from the transferor account to the transferee account comprises: in the SaaS cloud service platform, disassociating the digital identity certificate from the transferor account and associating it with the transferee account, so that the transferee obtains the query and management right of the digital identity certificate, and the unchanged attributes include at least one of the certificate number issued by the authoritative appraisal institution, the metal material, the metal weight, the 4C parameters of the embedded gemstone, the brand, the model number and the craftsman information.

[0015] A SaaS cloud service implementation system for the gold and jewelry industry e-commerce, the system comprising: A cloud server, the cloud server comprising: a credential creation module configured to create a unique digital identity credential for the jewelry commodity in response to a first-in instruction of the jewelry commodity, the digital identity credential containing immutable attributes set for the jewelry commodity; a binding relationship establishment module configured to determine a verification area on the jewelry commodity, acquire a microscopic feature image taken of the verification area, extract first image feature descriptors from the microscopic feature image, and store the first image feature descriptors in association with the digital identity credential to establish a binding relationship between the physical entity of the jewelry commodity and its digital identity credential; a financial attribute updating module configured to periodically acquire real-time market quotes corresponding to the jewelry commodity precious metal components from an external precious metal exchange, and automatically update a dynamic financial attribute in the digital identity credential for representing asset value according to the real-time market quotes and the recorded precious metal weight and purity in the immutable attributes; a right transfer module configured to transfer the management authority of the digital identity credential from a transferor account to a transferee account when the right of the jewelry commodity is transferred; a binding relationship verification module configured to, when the binding relationship needs to be verified, acquire a microscopic feature image taken again of the verification area, extract second image feature descriptors therefrom, and determine whether the second image feature descriptors are consistent with the first image feature descriptors.

[0016] Compared with the prior art, the present application has the following advantages: 1、The present application creates a unique digital identity credential for the jewelry commodity, and uses the inherent microscopic features of the physical surface that are difficult to copy as a verification basis to establish a firm binding relationship between the physical entity and its digital identity. In combination with the periodic acquisition of external market quotes to dynamically update the financial attributes of the credential, the jewelry, which originally exists as static commodity information in the management system, is transformed into a digital asset whose value can be measured in real time and whose identity can be verified at any time. This allows managers to view and operate the inventory from an asset perspective, intuitively perceive the fluctuations in its fair value, and avoid the limitations of the traditional inventory management method in which commodity attributes and asset attributes are disconnected.

[0017] 2、The application does not suspend the single warning to the current user when the verification binding relationship fails, but further anonymizes the information of the commodity model time and geographic location in the failure event, and through analyzing the aggregation trend of these failure events in the time and space dimensions, the potential circulation risk of a specific model of counterfeit goods in a specific area can be understood, and a targeted early warning is pushed to the merchant users in the area, which converts each isolated passive authentication failure attempt into an intelligence source for building the active defense capability of the entire business ecosystem, so that the system evolves from providing identification tools for individual users to building a dynamically evolving counterfeit threat situation awareness network for the entire community.

[0018] 3、The application not only records the historical state changes of the jewelry commodity life cycle, but also classifies and marks these events, and analyzes the internal logic of the event sequence according to the rule base, so as to dynamically adjust the added value evaluation factor, which makes the digital identity certificate exceed the role of static archives, and can carry and reflect the narrative value accumulated by events such as good maintenance and famous circulation experience; at the same time, by calculating the entropy value of the related interaction events, the system can perceive the potential management risk or marketing opportunity from the regularity or chaos degree of the interaction mode, and the combination of the two mechanisms enables the system to finely operate the assets from the value evolution and process health degree dimensions, realizing the transformation from passive recording to active empowerment.

[0019] 4、The application encapsulates each operation during the offline period as a transaction data block with a time stamp, and associates the new and old data blocks through hash values, forming an unalterable operation history chain locally, and after the network is restored, the history chain is uploaded to the cloud as a whole for integrity check before updating, which changes the trust guarantee from dependence on network connection state to an internal mechanism established by operation process logic and cryptographic characteristics, ensuring the order and integrity of operation behavior in any network condition, and resolving the data consistency risk that may be caused by offline operation. BRIEF DESCRIPTION OF DRAWINGS

[0020] Fig. 1 A flowchart of a gold jewelry industry e-commerce SaaS cloud service implementation method of the application; Fig. 2 A SaaS system user role and function interaction use case diagram of the application; Fig. 3 A cloud collaboration system architecture diagram supporting offline operation of the application. DETAILED DESCRIPTION

[0021] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below. Of course, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. It should be understood that all other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative labor fall within the protection scope of the present application.

[0022] The method and system for implementing a gold jewelry industry e-commerce SaaS cloud service provided by the present application has an architecture that is developed around a trusted dynamic for each jewelry commodity physical entity and a digital asset file throughout the whole life cycle of the jewelry commodity. The core process of the method is executed by a SaaS platform deployed on a cloud server, mainly including creating a unique digital identity certificate for the jewelry commodity, binding the physical entity of the commodity with the certificate through the micro features on the surface of the commodity, periodically updating the dynamic financial attributes of the certificate according to external market quotations, and realizing the delivery of the management authority of the certificate when the ownership is transferred, etc. In this way, the system converts the traditional jewelry that exists as static commodity information in the management information system into a kind of digital asset whose value can be measured in real time and whose identity can be verified at any time, and provides an asset-oriented operation management capability for the scenarios of inventory management, transaction circulation and financial services in the gold jewelry industry. In order to select the specific image feature extraction algorithm for the system and ensure its long-term effectiveness throughout the whole life cycle of the jewelry asset, a pre-deployment material adaptability calibration procedure needs to be performed. The procedure first establishes a reference sample library covering common materials such as gold and platinum, and mainstream processes such as polishing, frosting and hammering, and then applies quantitative and simulated long-term wear treatment to some samples to form aged samples. Subsequently, at least two candidate algorithms, such as the ORB algorithm which takes into account speed and stability or the AKAZE algorithm which performs well in scale and rotation invariance, are selected to extract features from all samples in the reference sample library within a 50 to 1000 lux illumination range, and the final selection score of each algorithm is calculated , which is the weighted sum of the repeatability score and the durability score , and the formula is , wherein the repeatability score is defined as the average number of key points that are stably matched between the feature descriptors extracted from the same reference sample under different illuminations, and the durability score is defined as the average number of key points that can still be successfully matched between the feature descriptors of the same reference sample before and after the accelerated wear treatment, and the weight factors and are system configuration parameters set according to the business scenario, and their sum is 1. For scenarios that require high circulation speed, the values can be appropriately increased. The weighting is increased for scenarios emphasizing heirloom and value preservation attributes. The weights are determined, and ultimately, the highest weight is obtained. The scoring algorithm will be determined as the standard operating algorithm for this deployment environment.

[0023] The core judgment parameters required for the system risk analysis and early warning module, including the geographic area coding resolution of authentication failure events and the threshold for the number of counterfeit risk warnings for specific product models, are determined through a data-driven baseline construction procedure executed during system initialization. For the geographic area coding resolution, the determination process begins with the system setting a minimum anonymity number K, an integer. This K value defines the minimum number of anonymous device identifiers that must be included within a geographic area code to meet privacy protection requirements. When the system receives the original geographic coordinates of an authentication failure event, it starts with a preset, for example, 7-bit, highest-precision geohash code and queries the total number of anonymous device identifiers within a predetermined time window within the area corresponding to that code. If the total number is less than K, the coding precision is automatically reduced by one bit and the query is re-executed. This process is repeated until the first coding precision that satisfies the requirement that the total number of identifiers is not less than K is found; this precision is then adopted. For the threshold for the number of counterfeit risk warnings, the system retrieves historical authentication failure event data for a specific product model within a specific geographic area over the past 12 months and calculates the 95th percentile of this dataset. This statistical value is set as the threshold for triggering a counterfeit risk warning for that product model within that area.

[0024] In the application scenario of entering new products into the enterprise inventory management system in the retail stores of jewelry brands, the existing information management method faces a technical challenge that the data records in the background database cannot establish an inseparable and verifiable binding relationship with the physical goods in the inventory, which limits the subsequent inventory, allocation or transaction links, and hides the risks and trust barriers caused by the mismatch between the physical and information; To address this challenge, the SaaS cloud service platform of the present application creates a unique digital identity certificate for the jewelry product in the cloud server when responding to the first warehousing instruction of the jewelry product, and the digital identity certificate is defined as a structured data object containing multiple information modules in the data structure, wherein a core module is used to carry the immutable attributes set for the jewelry product, and the immutable attribute data field is locked after creation, and its initialization can be completed through multiple interaction paths, the preferred path is to automatically collect and parse the existing barcode information on the certificate of the jewelry provided by the authoritative identification institution through the scanning function of the terminal device, and the backup path is to manually enter the key parameters through the user interface of the terminal device by the operator with corresponding authority when the preferred path is blocked, These parameters can include one or more of certificate number, metal material, metal weight, 4C parameters of the embedded gem, brand, model number and craftsman information; In this way, the system constructs a digital archive with rich information and traceable source for each physical entity of jewelry; Further, to firmly bind the digital identity certificate created in the foregoing step with the physical entity of the jewelry to address the risk of using genuine labels for counterfeit products in subsequent circulation links, the system's binding relationship establishment module is configured to perform an anchoring procedure based on the microscopic features of the physical surface, in which the system guides the operator to determine a verification area with stable and difficult-to-replicate texture on the jewelry product, such as the connection between a specific prong of an embedded gem and a bracelet, then the operator uses the terminal device to call its camera function and start the macro mode, and takes a microscopic feature image of the verification area, the cloud server receives the image and calls the computer vision feature extraction algorithm to extract a first image feature descriptor from the microscopic feature image, which is composed of multiple key feature points and their coordinates, scales and direction information, The feature descriptor is mathematically represented as a lightweight vector, and the system stores the first image feature descriptor and the corresponding digital identity certificate in association; In this way, the verification basis of asset identity is transferred from an external label that can be physically transferred to the microscopic structure inherent to the jewelry that is difficult to replicate, thereby making it possible to verify the identity of the physical evidence.

[0025] In the scenario where the aforementioned binding relationship needs to be verified, in order to exclude the technical obstacles caused by the low quality of single image acquisition due to high light reflection on the surface of jewelry or poor user photographing angle, and thus produce misjudgment, the system is configured to perform a verification mechanism based on a dynamic image sequence, under which the binding relationship verification module guides the user to collect a dynamic image sequence containing multiple frames of images for the same verification area through the terminal device. After the background server receives the image sequence, it will independently extract the image feature descriptors of each frame of image in the sequence to form a set of test image feature descriptors. The core logic of verification is to determine whether the number of feature points in the first image feature descriptor stored originally that can be matched in the set of test image feature descriptors exceeds a preset matching number threshold. The determination of the threshold follows an offline calibration procedure, that is, multiple dynamic sequence acquisitions and matching tests are performed on standard samples under different conditions, the distribution of matching numbers is counted, and the value obtained by subtracting two standard deviations from the mean is taken as the threshold. Through this decision-making method using spatiotemporal redundant information, the system reduces the influence of single image quality problems on the verification result, and improves the reliability of the core verification function in the application scenario. When the binding relationship verification module determines that the second image feature descriptor newly extracted is inconsistent with the first image feature descriptor stored originally, in order to utilize the data of such authentication failure events, the system is configured to record an authentication failure event anonymously on the cloud server on the premise of obtaining user authorization. The data structure of the event contains the product model information associated with the digital identity certificate attempted to impersonate, the timestamp information of the event occurrence, and the blurred geographical location information of the event. The background analysis engine of the cloud server will perform spatiotemporal clustering analysis on the authentication failure events collected within a preset time period according to their product model, time, and geographical location information. When it is found that the number of authentication failure events for a specific product model in a certain geographical area exceeds a preset number threshold, the system will automatically push a fake risk warning about the product to the merchant users in the geographical area. Under this mechanism, each independent authentication failure event is recorded and collected to build a dynamically updated warning service reflecting the risk of fake product circulation.

[0026] To solve the problem that the value of gold and jewelry assets fluctuates with the market in real time, while the existing management system usually processes static information, leading to the limitation that managers cannot track the real and fair value of inventory, the financial attribute updating module of the present application is configured to periodically obtain real-time market quotes corresponding to the precious metal components of jewelry goods from external precious metal exchanges through an application programming interface, and automatically calculate and update a dynamic financial attribute representing the value of the asset in the jewelry digital identity certificate according to the quotes and parameters such as the weight and purity of precious metals recorded in the immutable attributes of the digital identity certificate; further, to provide an aggregated asset view to managers, the SaaS cloud service platform provides an aggregated display interface that displays the total value of the asset portfolio and its historical fluctuation data in a graphical manner by real-time totaling the values of the dynamic financial attributes corresponding to the digital identity certificates within a specified range in the platform, which enables managers to view and operate the inventory from an asset perspective and perceive the fluctuation of its fair value; in addition, the value of a piece of jewelry may also be affected by special experiences during its life cycle, to record and utilize such information, the method of the present application further includes recording and categorically marking historical business process state change events associated with the digital identity certificate, for example, marking a professional cleaning as a service event and marking an exhibition at a well-known institution as a circulation event, the system backend analyzes these event sequences according to a rule base that defines the event type and value impact logic, and dynamically adjusts an additional value assessment factor of the digital identity certificate, for example, the rule base can contain a logic: if the average number of professional cleaning service events per year is greater than 2, set the maintenance state rating factor to good, this mechanism enables the digital identity certificate to reflect the value-related information accumulated due to specific experiences; in order to identify potential management risks or marketing opportunities from daily interaction behaviors, the system is also configured to continuously record the type and timestamp of interaction events associated with each digital identity certificate, and periodically calculate an interaction entropy value representing interaction pattern uncertainty based on the frequency distribution of the types of interaction events within a preset time window wherein wherein, is a set of interaction event types, is the type of the interaction event, is the frequency of its occurrence within the time window, the system presets a high first threshold value and a low second threshold value, when the calculated interaction entropy value is higher than the first threshold value, for example, a piece of goods is subjected to multiple disordered operations within a short period of time, the system will generate a warning notification related to potential management risks accordingly; on the contrary, when the interaction entropy value is lower than the second threshold value, for example, a high-value good has zero interaction within a few weeks, the system will generate a reminder related to potential marketing opportunities.

[0027] When the business process state of the jewelry commodity changes, for example, by scanning the physical medium associated with the digital identity certificate through a mobile terminal, the system updates the corresponding dynamic state attribute in the certificate accordingly, enabling it to switch between preset states such as in-store, external consignment, and maintenance; when the ownership of the jewelry commodity is transferred, the ownership transfer module is configured to perform a rights delivery operation within the SaaS cloud service platform, which specifically involves disassociating the digital identity certificate from the transferor account and associating it with the transferee account, enabling the transferee to obtain query and management rights over the digital identity certificate and thus possessing the cloud-based traceable digital archive of the jewelry; to address the data consistency risks that may arise when operating under unstable network conditions, the present application provides an offline operation integrity protection mechanism, which enters offline mode when the terminal device is disconnected from the cloud server and encapsulates each operation on the digital identity certificate as a transaction data block containing a local timestamp; each newly generated transaction data block calculates the hash value of the previous generated transaction data block through a hash function and includes the hash value in its own data structure, thereby forming a chain of operations locally on the terminal device, with the operations chained together through hash values; after the terminal device restores network connectivity, it uploads the operation history chain as a whole data packet to the cloud server; before performing any database updates, the server checks the integrity of the chain; only after the check passes does it update the cloud-based digital identity certificate according to the order of the operation history chain; this design ensures the orderliness and integrity of data synchronization through the cryptographic properties of the operation process itself, reducing dependence on network connectivity.

[0028] Embodiment 1: In the application scenario of a jewelry retailer conducting an end-of-quarter asset audit, it faces two parallel business requirements, one is that due to the continuous fluctuation of precious metal raw material market prices, the audit party requires the retailer to provide an asset report reflecting the fair value of its inventory as of the audit date; the second is that a high-value diamond ring previously lent out by the customer is returned on the same day, and the audit party requires confirmation of the physical entity before it is re-integrated into the inventory to address the risk of being replaced during external circulation. The existing inventory management method cannot meet the above two requirements because the recorded commodity price is a static historical cost, and the identity verification relies on separable physical identification. To address this situation, the retailer's management personnel enabled the SaaS cloud service system described, for the asset value verification requirement, the management personnel called the aggregation display interface in the system, which called the digital identity certificate of each piece of precious metal jewelry in the system, and operated the precious metal weight and purity information recorded in the certificate invariable attribute with the real-time market quotes of external trading places periodically obtained by the financial attribute updating module, thereby presenting the total fair value of all inventory assets of the retailer as of the current time in a graphical manner on the interface. After the report is submitted, it meets the first requirement of the audit party. In this process, the structured invariable attributes provided by the digital identity certificate provide data input for the automated calculation of dynamic financial attributes, and the financial attribute updating module completes the real-time calculation of inventory value based on the input.

[0029] For this returned high-value diamond ring, the on-site staff uses the mobile terminal of the system to call the binding relationship verification module and start the verification mechanism based on dynamic image sequence. The staff aims the camera function of the terminal device at the verification area preset when creating the digital identity certificate, i.e. the junction of the prong and the shank at the six o'clock position of the main diamond, and collects a dynamic image sequence containing multiple images. The system background extracts a group of test image feature descriptors from the image sequence and compares them with the first image feature descriptors originally stored in the digital identity certificate of the diamond ring. The comparison logic is to determine whether the number of original feature points appearing in the test feature descriptor group exceeds the preset matching number threshold. Since the comparison result meets the condition, the system returns the result of valid binding relationship on the terminal interface. After the result is presented, the second requirement of the audit party is met. In this link, the system verifies the inherent microscopic features of the physical surface of the jewelry, instead of relying on external identification, and integrates the two separate steps of verifying identity and verifying goods in the traditional way into an operation that can be completed on site. The value of the retailer's inventory assets is reported at its current market value, and the physical identity of high-value goods in circulation is also verified in the same management process. The data and confirmation information required by the audit party are provided within a short time, enabling the key link of this quarter's audit to be completed without disrupting the normal operation of the store.

[0030] Example 2: To objectively evaluate the effectiveness of the technical solutions of the present application, the following test was designed and performed, which aims to quantitatively evaluate the accuracy of the present application method in tracking dynamic financial attributes and the reliability of the binding relationship verification between physical entities and digital identity certificates; In a test aimed at verifying the accuracy of dynamic financial attribute tracking, a test group using the SaaS cloud service system of the present application and a control group using a traditional static price inventory system were set up. Both groups of systems input 10 samples of gold jewelry goods of different specifications and run for 7 natural days. The financial attribute update module of the test group is set to update the dynamic financial attributes every 60 seconds according to the external market quotation. This cycle is set to balance the real-time data and system load. On the first day of the test, the deviation rate of the reported value of the test group from the actual fair value calculated according to the closing price of that day was -0.01%, while the deviation rate of the control group was -2.47%. By the seventh day of the test, the market price continued to rise, and the deviation rate of the test group remained at -0.02%, while the deviation rate of the control group expanded to -9.35% because its value data was not updated. The reason why the reported value of the test group can keep close to the actual fair value is that the financial attribute update module can periodically update the weight and purity and other unchanged attributes recorded in the digital identity certificate with the real-time market quotation obtained.

[0031] In another experiment aimed at verifying the reliability of binding relationship verification, a diamond ring with a digital identity credential and corresponding first image feature descriptor was selected as the genuine sample, and a counterfeit sample with the same appearance but no corresponding microscopic features was used as a reference. The experiment used a smartphone as the terminal device. Under controlled lighting conditions, 100 binding relationship verification operations based on dynamic image sequences were performed on each of the two samples under three conditions: normal lighting, strong glare, and low illumination. Under normal lighting conditions, all 100 verification operations on the genuine sample passed. After introducing strong glare interference, the number of successful verifications was 98. Under low illumination conditions, the number of successful verifications was 97. For the counterfeit sample, a total of 300 verification operations were performed under all conditions, and the number of successful verifications was 0. The results of this experiment show that the verification mechanism based on dynamic image sequences effectively addresses the verification failure that may be caused by poor lighting in a single frame image by seeking feature consensus from multiple frames of images. While maintaining a high pass rate for genuine samples, it also intercepts counterfeit samples that do not have the corresponding microscopic features.

[0032] Example 3: This example combines Figs. 1 to 3 This document describes a method and system for implementing an e-commerce SaaS cloud service for the gold and jewelry industry. Fig. 1 As shown in the diagram, the process begins with creating a digital identity credential for a piece of jewelry and linking it to the physical object. This involves creating a unique digital identity credential and associating it with the microscopic features of the physical object's surface, thus establishing a strong binding relationship. This leads to the digital asset management and circulation stage, where value tracking, status updates, and ownership transfers are achieved throughout the asset's lifecycle. Ultimately, this results in a trustworthy digital asset with verifiable identity, capable of generating real-time asset value reports reflecting the fair value of inventory, and supporting full lifecycle traceability of historical circulation and status changes. In this process, one... The financial attribute update module obtains real-time quotes from external precious metal exchanges and periodically updates the dynamic financial attributes of the certificate based on these quotes. Meanwhile, when a user / auditor initiates a relationship verification request, a binding relationship verification module collects a dynamic image sequence of the physical object and compares it with the original features recorded on the certificate. If the comparison results are consistent, the process verification passes; if the results are inconsistent, an authentication failure event is triggered. This event is sent to the counterfeit risk warning module, which performs spatiotemporal clustering analysis on the aggregated authentication failure events and pushes counterfeit risk warnings for specific models to merchants in specific regions.

[0033] like Fig. 2As shown, the enterprise operator is responsible for performing basic operations such as creating and binding digital credentials and managing commodity business status, the enterprise manager has the permission to view the fair value of inventory assets, perform ownership transfer, and receive management and marketing warnings, and the external C-end user / auditor can initiate a request to verify the physical identity of the commodity, and if the verification request fails, an anonymous authentication failure event reporting process will be triggered, and the downstream of this process is the merchant community, which is the main body of receiving counterfeit risk warnings, thus forming a risk perception network covering the entire business ecosystem.

[0034] As shown in FIG. 1, Fig. 3 The architecture mainly consists of three parts, the first is the mobile terminal user device, which includes a mobile terminal application and a local storage for storing operation records in an offline state, the local storage stores an offline operation history chain; the second is the core cloud server cluster SaaS platform, which is connected with the mobile terminal through secure network communication HTTPS / API, and internally includes a SaaS cloud service platform application, which is provided with a credential creation and management module, a binding relationship verification module, a financial attribute update module, and a risk analysis and warning module, and also includes a core database for storing digital identity credentials, image feature descriptors, historical business process events, and authentication failure event records; the third is the external exchange server, and the SaaS platform obtains data from the server through a market data interface API to support dynamic updating of financial attributes.

[0035] In the scenario of initial deployment of the SaaS cloud service system to a specific jewelry retailer, considering the differences in inventory composition and operation rhythm among different business entities, the system performs a standardized engineering calibration procedure before formal use, to configure its internal risk warning parameters and value evaluation logic; the procedure first starts an offline calibration process for the interaction entropy threshold, after selecting a branch that matches the business model and target deployment environment, the SaaS system of the store is placed in a 30-day data collection mode during which the system only records the interaction event type and timestamp associated with the digital identity credentials of the store's commodities, after the data collection period ends, the background calibration script processes the obtained data, the script first divides the commodities into pre-set categories according to their invariant attributes, then for each category, it calculates the daily interaction entropy value based on the sample set, and calculates the statistical mean and standard deviation based on the sample set, the system sets the warning threshold for each commodity category based on the statistical results, where the first threshold is set to , and the second threshold is set to an entropy value corresponding to the pre-set minimum interaction frequency.

[0036] Accordingly, the administrator initializes and constructs the rule base for adjusting the added value evaluation factor through the configuration interface of the system. The interaction logic of the configuration interface requires each newly added rule to follow the structured IF-THEN paradigm. The administrator needs to define the event type that triggers the rule, and can set specific conditions that the event needs to meet and the quantitative operation performed on the added value evaluation factor after the rule is triggered. In this way, the value judgment standard in business operation is translated into executable logic instructions by the system. At the same time, the system executes a field calibration procedure for the matching quantity threshold. The administrator selects 10 pieces of jewelry certified by an authoritative agency as reference samples. Using a specific model of terminal device to be applied in the retail environment, the administrator repeatedly performs 50 times of microscopic feature checking operation based on dynamic image sequence under various lighting conditions with illumination ranging from 50 lux to 1000 lux and including local glare for each reference sample. The system records the number of matching feature points of each operation, and calculates the mean and standard deviation based on all the data. The matching quantity threshold of the verification mechanism is set to the value obtained by subtracting three times the standard deviation from the mean. After completing the above calibration and configuration process, the parameters and logic rules of the SaaS cloud service system are configured to adapt to the working state of the specific operation environment of the retailer.

[0037] In embodiment 5, after the cloud server receives an event signal about a failure of one-time binding relationship verification from the terminal device, the system automatically executes a data preprocessing procedure before archiving the event. The procedure analyzes the received raw data and removes the identity associated with the terminal device or user account, leaving only the product model information, event time information, and original geographic coordinates associated with the digital identity certificate. Then, the procedure performs a geographic hash or grid mapping conversion on the original geographic coordinates according to a resolution defined by a system configuration parameter, mapping the coordinates to a string-type geographic area code. The product model information, time information, and geographic area code form a standardized authentication failure event record, which is stored in the database.

[0038] In embodiment 6, when the SaaS cloud service system is deployed in a new business area or to a new business entity, in order to enable the risk management module to adapt to the local business characteristics, the system executes a pre-posed baseline model construction and data calibration procedure before activating the relevant functions. The procedure first sets the authentication failure event quantity threshold for triggering the counterfeit risk warning. The system analyzes the historical transaction data of specific product models in the area to establish a baseline model representing the normal turnover rate. The quantity threshold is set to the value that exceeds the upper limit of a specific confidence interval of the baseline model in a preset statistical period.

[0039] Further, the procedure configures an offline operation integrity guarantee mechanism. When a transaction history chain uploaded by a terminal device passes the hash value integrity check, the system additionally performs a timestamp sequence validity verification before merging the transaction data blocks in the chain. The verification confirms that the timestamp of each transaction data block in the chain is later than the timestamp of the previous data block, and determines that the difference between the timestamp of the last data block in the chain and the current cloud server time does not exceed a maximum allowed delay threshold set according to the network service quality or historical synchronization data. Only when the operation history chain passes both the hash integrity check and the timestamp sequence validity verification, the operation recorded in the chain is finally confirmed and updated to the corresponding digital identity certificate. After the procedure is executed, the risk management module of the system operates with the parameters calibrated by the local data, and the offline data synchronization mechanism of the system also integrates the verification logic for the validity of the timestamp.

[0040] When the SaaS cloud service system is expanded to a new business area or deployed for a new business entity, in order to ensure that the risk management module can accurately adapt to the unique business characteristics and operation mode of the local area, thereby effectively playing the role of risk early warning and control, the system must perform an important pre-baseline model construction and data calibration procedure before formally activating the relevant functions. The primary task of this procedure is to scientifically set the quantity threshold of authentication failure events for triggering counterfeit risk early warning. Specifically, the system will deeply analyze the historical transaction data of a specific product model in the area over a period of time. These data cover transaction frequency, transaction amount, user behavior and other multidimensional information. A baseline model that can accurately represent the normal turnover rate is constructed through advanced algorithms. The setting of the quantity threshold is extremely scientific. It is explicitly defined as the number of observed authentication failure events exceeding a specific upper limit of the confidence interval of the baseline model within a preset statistical period. This setting can minimize false alarms caused by accidental fluctuations while ensuring the sensitive capture of real abnormal situations, providing accurate judgment criteria for subsequent risk identification.

[0041] Further, the procedure comprehensively and meticulously configures the offline operation integrity guarantee mechanism to cope with the security and accuracy challenges that data synchronization may face in offline scenarios. After the operation history chain uploaded by a terminal device passes the hash value integrity check, i.e., confirming that the data has not been illegally tampered with or damaged in the transmission and storage process, the system does not immediately merge the transaction data blocks in the chain, but additionally performs a strict timestamp sequence validity verification. This verification link includes two key steps: first, confirming that the timestamp of each transaction data block in the chain is later than the timestamp of the previous data block, thereby ensuring that the order of operation execution conforms to logic and preventing data confusion; second, accurately determining the difference between the timestamp of the last data block in the chain and the current cloud server time, ensuring that it does not exceed a maximum allowed delay threshold set according to network service quality, historical synchronization data fluctuation range, and local network environment characteristics, thereby effectively avoiding data invalidation problems caused by device clock deviation or excessive network delay. Only when the operation history chain successfully passes both the hash integrity check and the timestamp sequence validity verification can the recorded operation be finally confirmed and safely and reliably updated to the corresponding digital identity credential, and this process fully embodies the system's extreme pursuit of data integrity and operation legality.

[0042] After the procedure is executed, the risk management module of the system can efficiently operate with accurate parameters calibrated by local data, making its risk identification and response strategies fully consistent with the actual situation of local business. At the same time, its offline data synchronization mechanism successfully integrates the verification logic for timestamp validity, which not only further improves the security and accuracy of offline data synchronization, but also ensures the consistency and reliability of system data in complex network environments, providing solid technical support for the stable operation and risk management of SaaS cloud service systems in new business environments.

[0043] It is apparent for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application.

Claims

1. A method for implementing e-commerce SaaS cloud services in the gold and jewelry industry, characterized in that, The method includes: Step a: In response to the first-time warehousing instruction for jewelry, create a unique digital identity certificate for the jewelry on the cloud server. The digital identity certificate contains immutable attributes set for the jewelry. Step b: Determine a verification area on the jewelry item, acquire a microscopic feature image of the verification area, extract a first image feature descriptor from the microscopic feature image, and associate and store the first image feature descriptor with the digital identity credential to establish a binding relationship between the physical entity of the jewelry item and its digital identity credential. Step c: Periodically obtain real-time market quotes corresponding to the precious metal components of jewelry from external precious metal exchanges, and automatically update a dynamic financial attribute in the digital identity certificate that represents the asset value based on the real-time market quotes and the weight and purity of the precious metals recorded in the invariant attributes. Step d: When the ownership of the jewelry is transferred, the management authority of the digital identity certificate is transferred from the transferor's account to the transferee's account; Step e: When it is necessary to verify the binding relationship, obtain a microscopic feature image of the verification area again, extract the second image feature descriptor from it, and determine whether the second image feature descriptor is consistent with the first image feature descriptor.

2. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, Following step c, the following is also included: providing an aggregated display interface on the SaaS cloud service platform, which is used to display in real time the total value of the dynamic financial attributes corresponding to one or more digital identity credentials within the platform, as well as the historical fluctuation data of the total value.

3. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, The method also includes: recording historical business process status change events associated with digital identity credentials and occurring during the lifecycle of jewelry products, and classifying and marking these historical business process status change events; and parsing the classified event sequences based on a rule base that defines event types and value impact logic, thereby dynamically adjusting an added value assessment factor for digital identity credentials.

4. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, The method also includes: continuously recording the type and timestamp of interaction events associated with each digital identity credential; and calculating an interaction entropy value based on the frequency distribution of interaction event types within a time window. ,in ,in, A collection of interactive event types. For the first Types of interactive events For the first The frequency of each type of interactive event occurring within a time window; and when the interaction entropy value is higher than the first threshold or lower than the second threshold, an early warning notification related to potential management risks or marketing opportunities is automatically generated.

5. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, The method also includes: when the terminal device is disconnected from the cloud server, encapsulating each operation on the digital identity credential into a transaction data block containing a timestamp; associating each newly generated transaction data block with the previous generated transaction data block in a chain using a hash value, thereby forming an operation history chain on the terminal device; and after the terminal device restores its network connection, uploading the entire operation history chain to the cloud server, and updating the digital identity credential according to the order of the operation history chain only after passing the integrity verification.

6. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, In step e, when it is determined that the second image feature descriptor is inconsistent with the first image feature descriptor, the method further includes: anonymously recording an authentication failure event on the cloud server, which includes product model information, event time information, and event geographical location information associated with the digital identity credential; and pushing a counterfeit risk warning for a specific product model to merchant users in the geographical area when the number of authentication failure events exceeds a threshold within a time period and a geographical area.

7. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, Step e, the step of obtaining a microscopic feature image of the verification area again, specifically includes: acquiring a dynamic image sequence containing multiple frames; and the step of determining whether the second image feature descriptor is consistent with the first image feature descriptor, specifically includes: extracting image feature descriptors from the multiple frames to form a set of test image feature descriptors; when the number of feature points that can be matched in the test image feature descriptor set exceeds the matching number threshold, it is determined to be consistent.

8. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, The method also includes updating the corresponding dynamic status attributes in the digital identity credential based on changes in the business process status of jewelry products; wherein, changes in business process status include switching between several statuses such as in-stock, loan / consignment, and repair by scanning the physical anchoring medium associated with the digital identity credential through a mobile terminal.

9. The method for implementing e-commerce SaaS cloud services in the gold and jewelry industry according to claim 1, characterized in that, In step d, the step of transferring the management rights of the digital identity certificate from the transferor's account to the transferee's account is as follows: within the SaaS cloud service platform, the association between the digital identity certificate and the transferor's account is removed, and the association between the digital identity certificate and the transferee's account is established, so that the transferee obtains the right to query and manage the digital identity certificate. The unchanged attributes include at least one of the following: certificate number issued by an authoritative appraisal institution, metal material, metal weight, 4C parameters of the inlaid gemstone, brand, style number, and craftsman information.

10. A SaaS cloud service implementation system for the gold and jewelry industry, characterized in that, The system includes: A cloud server, comprising: a credential creation module configured to create a unique digital identity credential for the jewelry item in response to the first receipt instruction for the jewelry item; the digital identity credential contains immutable attributes set for the jewelry item. A binding relationship establishment module is configured to determine a verification area on the jewelry product, acquire a microscopic feature image of the verification area, extract a first image feature descriptor from the microscopic feature image, and associate and store the first image feature descriptor with a digital identity credential to establish a binding relationship between the physical entity of the jewelry product and its digital identity credential. A financial attribute update module is configured to periodically obtain real-time market quotes corresponding to the precious metal composition of jewelry from external precious metal exchanges, and automatically update a dynamic financial attribute in the digital identity certificate that represents the asset value based on the real-time market quotes and the weight and purity of the precious metals recorded in the invariant attributes. A transfer of ownership module is configured to transfer the management rights of digital identity credentials from the transferor's account to the transferee's account when ownership of jewelry is transferred. A binding relationship verification module is configured to, when binding relationship verification is required, acquire a microscopic feature image of the verification area taken again, extract a second image feature descriptor from it, and determine whether the second image feature descriptor is consistent with the first image feature descriptor.

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