POS machine with identification system

By introducing an identification system into the POS machine, using data acquisition, cleaning and recommendation modules to recommend products according to customer preferences, the problem of POS machine lacking recommendation functions has been solved and sales and customer satisfaction has been improved.

CN119296230APending Publication Date: 2025-01-10SHENZHEN KINGBERRY TECH CO LTD
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Patent Information

Application Number
CN202411250371.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-06
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

Existing POS machines lack product recommendation function and cannot recommend related products based on customers' purchasing history or preferences, resulting in a missed cross-selling opportunity, affecting the effectiveness of promotional strategies and customer experience.

Method used

Design a POS machine with an identification system, including a data acquisition center, a storage center and a payment center, through data source access module, data grabbing module, data cleaning module, data conversion module, data transmission module, management unit, data The encryption module, data encoding module, data upload module and product recommendation module extract, clean, analyze user data, and recommend products based on preferences.

Benefits of technology

It improves data processing efficiency and the quality of analysis results, ensures data security and reliability, enhances user experience and shopping efficiency, increases transaction volume and sales, and improves shopping cart conversion rate and order completion rate.

✦ Generated by Eureka AI based on patent content.

Smart Images

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Patent Text Reader

Abstract

The invention discloses a POS machine with an identification system, and particularly relates to the technical field of electronic equipment, and the POS machine comprises a data acquisition center for obtaining user data, a control center for providing a computing platform and data transmission, a storage center for storing the user data, and a payment center for completing a transaction. According to the method and the device, the satisfaction degree of the user to the platform can be enhanced by recommending the commodities conforming to the interests and preferences of the user, the customer can more quickly find the commodities which the customer is interested in, the shopping efficiency and pleasure are improved, and when the recommended commodities conform to the expectation and requirements of the user, the user can purchase the commodities, so that the user experience is improved. Therefore, the transaction volume and the sales volume of the platform are increased, the shopping demand of the user can be more accurately met, the shopping cart conversion rate and the order completion rate are improved, and commodities are recommended according to the user preference, so that the user experience and the shopping efficiency are improved, and the sales and conversion rate of the platform can be increased.
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Description

Technical Field

[0001] The present invention relates to the technical field of electronic equipment, and in particular to a POS machine with an identification system. Background Art

[0002] POS, translated into Chinese as "point of sale terminal" or "point of sale equipment". It is a device used for retail transactions, usually in stores, supermarkets, restaurants and other places. After the customer makes a purchase, the cashier scans the product barcode through the POS machine or manually enters the product information. The system calculates the total amount and supports different payment methods, such as cash, bank card, credit card, mobile payment, etc. The POS machine can record the sales data of each sales point, help merchants manage inventory, predict demand, replenish stocks in time, etc. The POS system can generate sales reports, analyze sales data, help merchants understand sales conditions, hot-selling products and customer purchasing habits, etc., so as to adjust business strategies. Modern POS systems can be integrated with other business systems, such as accounting software, e-commerce platforms, etc., to achieve information sharing and data synchronization.

[0003] However, the existing POS machines do not have the product recommendation function, which means that the POS machines cannot recommend related products based on the customer's purchase history or preferences. This may miss the opportunity to promote cross-selling. Personalized recommendations can be used as a promotional and marketing tool to help merchants increase sales and customer satisfaction. The lack of this function may lead to poor results in promotional strategies. The lack of product recommendation function in POS machines may limit merchants' ability to enhance customer experience, increase sales and optimize marketing strategies, and there are defects. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the POS machine in the prior art does not have the product recommendation function, which means that the POS machine cannot recommend related products based on the customer's purchase history or preferences, which may miss the opportunity to promote cross-selling. Personalized recommendations can be used as a promotion and marketing tool to help merchants increase sales and customer satisfaction. The lack of this function may lead to poor results in promotional strategies. The lack of product recommendation function in POS machines may limit merchants' abilities to enhance customer experience, increase sales and optimize marketing strategies, etc., and there are technical defects. A POS machine with an identification system is proposed.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A POS machine with an identification system, comprising:

[0007] It consists of a data collection center for acquiring user data, a control center for providing a computing platform and data transmission, a storage center for storing user data, and a payment center for completing transactions;

[0008] The data collection center is composed of a data source access module for connecting to a database, a data capture module for extracting consumer order information, a data cleaning module for processing and cleaning the collected data, a data conversion module for converting data into a format suitable for analysis, and a data transmission module for sending data;

[0009] The storage center is composed of a management unit for organizing data, a data backup module for uploading data to the cloud, and a storage module for saving data;

[0010] The payment center consists of an order generation module for generating commodity orders, an identity authentication module for entering a user's mobile phone number to confirm identity, a customer identity comparison module for comparing user data, a first judgment module for judging the comparison result, a file creation module for establishing a customer database, a supplementation module for supplementing the user database, a data analysis module for analyzing user consumption preferences, a commodity recommendation module for recommending commodities, a second judgment module for judging customer purchase intentions, an order supplementation module for correcting order data, and a payment module for collecting payments.

[0011] The data source access module is signal-connected to the data capture module, and the data capture module is used to receive user data transmitted by the data source access module and extract the commodity categories, price ranges and shopping frequencies purchased by each customer;

[0012] The data capture module is signal-connected to the data cleaning module, and the data cleaning module is used to receive the data transmitted by the data capture module, and remove duplicate items, process missing values, and correct format errors;

[0013] The data cleaning module is signal-connected to the data conversion module, and the data conversion module is used to receive the data transmitted by the data cleaning module and convert the data into structured processing.

[0014] Through the above technical solution: the data source access module is responsible for connecting to the database or other data sources and transmitting user data to the data capture module. The data capture module receives the data transmitted by the data source access module. Its main task is to extract information such as the category, price range and shopping frequency of each customer's purchase. The data capture module transmits the extracted data to the data cleaning module. After receiving the data transmitted by the data capture module, the data cleaning module performs the following tasks:

[0015] Remove duplicates to ensure data uniqueness.

[0016] Handle missing values ​​by filling in missing data or performing other processing.

[0017] Correct format errors and unify data formats to ensure accuracy and consistency in subsequent processing.

[0018] After the data cleaning module processes the data, it transmits the cleaned data to the data conversion module. The data conversion module receives the data transmitted by the data cleaning module and is responsible for structuring the data to make it suitable for subsequent analysis and processing, ensuring that the quality of the data is guaranteed from the original data to the final structured data, including the integrity, consistency and accuracy of the data. This clear data flow processing process helps to improve data processing efficiency and the quality of analysis results.

[0019] The present invention is further configured as follows: the management unit is composed of a data encryption module for encrypting data and a data encoding module for generating a user serial number according to a user identity;

[0020] The data backup unit is composed of a data uploading module for connecting to the cloud, a timing module for setting the uploading cycle, and a cycle management module for setting the customer data life cycle.

[0021] Through the above technical solution: the data encryption module in the management unit is responsible for encrypting the data to ensure the security of the data during transmission and storage. The data encoding module generates a unique user serial number based on the user's identity information to identify and manage user data. The data upload module in the data backup unit is connected to the cloud and is responsible for uploading the processed data to the cloud storage service. The timing module sets the cycle of uploading data to ensure that the data is regularly backed up to the cloud to deal with the risk of data loss or damage. The cycle management module manages the life cycle of customer data, including the storage time and backup strategy of the data to meet regulatory requirements or business needs, ensuring the security, reliability and long-term accessibility of the data. Data encryption and encoding protect user privacy and data integrity, while scheduled data backup and cycle management ensure the persistence and recoverability of data.

[0022] The present invention is further configured as follows: the data conversion module is signal-connected to the data transmission module, the data transmission module is used to receive data transmitted by the data conversion module, and compress the data before sending;

[0023] The data transmission module is connected to the data encryption module by signal, and the data encryption module is used to receive the data transmitted by the data transmission module and encrypt the data privacy information;

[0024] The data encryption module is connected to the data encoding module by signal, and the data encoding module is used to receive the data transmitted by the data encryption module and generate a user serial number from the encrypted data;

[0025] The data encoding module is connected to the storage module by signal, and the storage module is used to receive the data transmitted by the data encoding module and archive the data.

[0026] Through the above technical solution: the data conversion module transmits the processed data to the data transmission module. After receiving the data, the data transmission module is responsible for compressing the data and then sending the compressed data to the designated destination, usually the cloud or other storage devices. The data transmission module transmits the compressed data to the data encryption module. After receiving the data, the data encryption module encrypts the privacy information therein to ensure the security and confidentiality of the data during transmission. The data encryption module transmits the encrypted data to the data encoding module. The data encoding module receives the encrypted data and generates a corresponding user serial number based on the user identity information to identify and manage the data, which is usually used for authority control or data tracking. The data encoding module transmits the generated user serial number and data to the storage module. After receiving the data, the storage module is responsible for archiving or storing the data in the designated data storage device to ensure the persistence and reliability of the data, and ensure the safe transmission, encryption protection, and effective identification and management of the data from generation to storage.

[0027] The present invention is further configured as follows: the storage module is connected to a data upload module by signal, the data upload module retrieves the customer data in the storage module and transmits the data to the cloud;

[0028] The data upload module is connected to the timing module by signal, and the timing module is used to set the operation cycle of the data upload module;

[0029] The storage module is connected to the cycle management module by signal, and the cycle management module is used to read the data date in the storage module and clean up the data outside the cycle.

[0030] Through the above technical solution: the data upload module retrieves customer data from the storage module and is responsible for transmitting the data to the cloud or other designated remote storage locations to achieve data backup or remote access functions; the timing module is responsible for setting the operation cycle of the data upload module, such as performing a data upload operation once a day, week, or month to ensure that the data is updated to the cloud or other target storage locations in a timely manner; the cycle management module reads the data date information in the storage module to identify data outside the cycle. In general, the cycle management module will clean up or archive expired or no longer needed data in the storage module according to the set retention policy to free up storage space and maintain the neatness and management efficiency of the data, ensuring the safe storage, regular backup and management of data in the system, and at the same time, through scheduled tasks and cycle management, the automatic processing and maintenance of data is realized.

[0031] The present invention is further configured as follows: the order generation module is signal-connected to the identity authentication module, and after receiving the order data, the identity authentication module binds the order to the user's mobile phone number;

[0032] The identity verification module is connected to the customer identity comparison module and the storage module by signal, and the customer identity comparison module is used to receive data transmitted by the identity verification module and compare the data with the user data in the storage module;

[0033] The customer identity comparison module is signal-connected to the first judgment module, and the first judgment module is used to receive data transmitted by the customer identity comparison module and transmit the data according to the comparison result;

[0034] The first judgment module is connected to the file creation module and the supplement module by signals. The file creation module sends the customer data to the data encryption module when the first judgment module determines that it is no, and the supplement module transmits the order data to the storage module when the unique judgment module determines that it is yes;

[0035] The data analysis module is connected to the storage module by signal, and the data analysis module analyzes the categories of goods that customers prefer to buy, the price range, and the shopping frequency according to the customer data, and sends the results;

[0036] The data analysis module is connected to the product recommendation module by signal, and the product recommendation module recommends product information based on the product library and customer preferences, and displays it through a display device;

[0037] The commodity recommendation module is signal-connected to the second judgment module, and the second judgment module is used to determine customer needs and send the customer needs;

[0038] The payment module is connected to the order supplement module and the second judgment module by signal, and the order supplement module is used to receive the data transmitted by the second judgment module, modify the order according to the data, and then pay through the payment module to complete the transaction;

[0039] The second judgment module is connected to the payment module signal. The second judgment module is used to transmit the customer's selection. The payment module is used to receive the order data transmitted by the second module and then trade through the payment module.

[0040] Through the above technical solution: the order generation module generates order data and transmits the order data to the identity authentication module, the identity authentication module receives the order data and binds the order with the user's mobile phone number, the identity authentication module transmits the verified user data to the customer identity comparison module, the customer identity comparison module receives the data and compares it with the user data in the storage module, the customer identity comparison module transmits the comparison result to the first judgment module, the first judgment module processes the data according to the comparison result, and transmits the data to the file creation module or the supplementary module. After the first judgment module judges according to the conditions, it sends the data to the corresponding module:

[0041] If the judgment is no, the data is sent to the data encryption module and processed by the file creation module.

[0042] If the judgment is yes, the data is directly transmitted to the storage module and processed by the supplementary module.

[0043] The data analysis module obtains customer data from the storage module, analyzes customer preferences and other information, and sends the analysis results to the product recommendation module, which recommends product information based on customer preferences and the product library. The second judgment module determines customer needs and processes related data.

[0044] The second judgment module transmits the customer demand to the order replenishment module.

[0045] The order replenishment module modifies the order data and completes the transaction payment through the payment module.

[0046] The second judgment module transmits the customer's selection or demand to the payment module.

[0047] The payment module receives the order data and completes the payment transaction process.

[0048] The beneficial effects of the present invention are: ensuring that the quality of data is guaranteed in the process from raw data to final structured data, including the integrity, consistency and accuracy of data. This clear data flow processing process helps to improve data processing efficiency and the quality of analysis results, ensures the security, reliability and long-term accessibility of data, data encryption and encoding protect user privacy and data integrity, and scheduled data backup and cycle management ensure the persistence and recoverability of data, ensure the safe transmission, encryption protection and effective identification and management of data from generation to storage, ensure the safe storage, regular backup and management of data in the system, and realize the automatic processing and maintenance of data through scheduled tasks and cycle management at the same time. Recommending products that meet user interests and preferences can enhance user satisfaction with the platform, customers can find the products they are interested in more quickly, and improve shopping efficiency and pleasure. When the recommended products meet the expectations and needs of users, users will buy these products, thereby increasing the transaction volume and platform sales, and can more accurately meet the shopping needs of users, thereby improving the shopping cart conversion rate and order completion rate. Recommending products according to user preferences not only helps to improve user experience and shopping efficiency, but also increases the sales and conversion rate of the platform.

[0049] In the present invention, the data source access module is responsible for connecting to a database or other data sources and transmitting user data to the data capture module. The data capture module receives the data transmitted by the data source access module and its main task is to extract information such as the category, price range and shopping frequency of the goods purchased by each customer. The data capture module transmits the extracted data to the data cleaning module. After receiving the data transmitted by the data capture module, the data cleaning module performs the following tasks:

[0050] Remove duplicates to ensure data uniqueness.

[0051] Handle missing values ​​by filling in missing data or performing other processing.

[0052] Correct format errors and unify data formats to ensure accuracy and consistency in subsequent processing.

[0053] After the data cleaning module processes the data, it transmits the cleaned data to the data conversion module. The data conversion module receives the data transmitted by the data cleaning module and is responsible for structuring the data to make it suitable for subsequent analysis and processing, ensuring that the quality of the data is guaranteed from the original data to the final structured data, including the integrity, consistency and accuracy of the data. This clear data flow processing process helps to improve the efficiency of data processing and the quality of the analysis results. The data encryption module in the management unit is responsible for encrypting the data to ensure the security of the data during transmission and storage. The data encoding module generates a unique user serial number based on the user's identity information to identify and manage user data. The data upload module in the data backup unit is connected to the cloud and is responsible for uploading the processed data to the cloud storage service. The timing module sets the cycle of uploading data to ensure that the data is regularly backed up to the cloud to deal with the risk of data loss or damage. The cycle management module: manages the life cycle of customer data, including the storage time and backup strategy of the data to meet regulatory requirements or business needs, ensuring the security, reliability and long-term accessibility of the data. Data encryption and encoding protect user privacy and data integrity, while scheduled data backup and cycle management ensure data persistence and recoverability. The data conversion module transmits the processed data to the data transmission module. After receiving the data, the data transmission module is responsible for compressing the data and then sending the compressed data to the designated destination, usually the cloud or other storage devices. The data transmission module transmits the compressed data to the data encryption module. After receiving the data, the data encryption module encrypts the privacy information therein to ensure the security and confidentiality of the data during transmission. The data encryption module transmits the encrypted data to the data encoding module. The data encoding module receives the encrypted data and generates the corresponding The user serial number is used to identify and manage data, which is usually used for permission control or data tracking. The data encoding module transmits the generated user serial number and data to the storage module. After receiving the data, the storage module is responsible for archiving or storing the data in the designated data storage device to ensure the persistence and reliability of the data, and ensure the safe transmission, encryption protection, and effective identification and management of the data from generation to storage. The data upload module retrieves customer data from the storage module and is responsible for transmitting the data to the cloud or other designated remote storage locations to realize data backup or remote access functions. The timing module is responsible for setting the operating cycle of the data upload module. The cycle management module reads the data date information in the storage module to identify data outside the cycle.Generally, the cycle management module will clean up or archive expired or no longer needed data in the storage module according to the set retention policy. The order generation module generates order data and transmits the order data to the identity authentication module. The identity authentication module receives the order data and binds the order with the user's mobile phone number. The identity authentication module transmits the verified user data to the customer identity comparison module. The customer identity comparison module receives the data and compares it with the user data in the storage module. The customer identity comparison module transmits the comparison result to the first judgment module. The first judgment module processes the data according to the comparison result and transmits the data to the filing module or the supplementary module. After the first judgment module judges according to the conditions, it sends the data to the corresponding module:.

[0054] If the judgment is no, the data is sent to the data encryption module and processed by the file creation module.

[0055] If the judgment is yes, the data is directly transmitted to the storage module and processed by the supplementary module.

[0056] The data analysis module obtains customer data from the storage module, analyzes customer preferences and other information, and sends the analysis results to the product recommendation module, which recommends product information based on customer preferences and the product library. The second judgment module determines customer needs and processes related data.

[0057] The second judgment module transmits the customer demand to the order replenishment module.

[0058] If the judgment is yes, the order supplement module modifies the order data and completes the transaction payment through the payment module.

[0059] If the judgment is negative, the second judgment module transmits the customer's selection or requirement to the payment module. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of a POS machine with an identification system in the present invention;

[0061] Figure 2 The system diagram of a POS machine with an identification system in the present invention. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0063] Example 1

[0064] like Figure 1-2 As shown, a POS machine with an identification system includes:

[0065] It consists of a data collection center for acquiring user data, a control center for providing a computing platform and data transmission, a storage center for storing user data, and a payment center for completing transactions;

[0066] The data collection center is composed of a data source access module for connecting to the database, a data capture module for extracting consumer order information, a data cleaning module for processing and cleaning the collected data, a data conversion module for converting the data into a format suitable for analysis, and a data transmission module for sending data;

[0067] The storage center consists of a management unit for organizing data, a data backup module for uploading data to the cloud, and a storage module for saving data;

[0068] The payment center consists of an order generation module for generating product orders, an identity authentication module for entering user mobile phone numbers to confirm identity, a customer identity comparison module for comparing user data, a first judgment module for judging the comparison results, a file creation module for establishing a customer database, a supplementation module for supplementing the user database, a data analysis module for analyzing user consumption preferences, a product recommendation module for recommending products, a second judgment module for judging customer purchasing intentions, an order supplementation module for correcting order data, and a payment module for collecting payments.

[0069] The data source access module is connected to the data capture module by signal, and the data capture module is used to receive the user data transmitted by the data source access module and extract the commodity categories, price ranges and shopping frequencies purchased by each customer;

[0070] The data capture module is connected to the data cleaning module by signal. The data cleaning module is used to receive the data transmitted by the data capture module, remove duplicate items, process missing values, and correct format errors;

[0071] The data cleaning module is connected to the data conversion module by signal. The data conversion module is used to receive the data transmitted by the data cleaning module and convert the data into structured processing.

[0072] The management unit is composed of a data encryption module for encrypting data and a data encoding module for generating a user serial number according to the user identity;

[0073] The data backup unit consists of a data upload module for connecting to the cloud, a timing module for setting the upload cycle, and a cycle management module for setting the customer data life cycle.

[0074] The data conversion module is connected to the data transmission module by signal, and the data transmission module is used to receive the data transmitted by the data conversion module, compress the data and then send it;

[0075] The data transmission module is connected to the data encryption module by signal, and the data encryption module is used to receive the data transmitted by the data transmission module and encrypt the data privacy information;

[0076] The data encryption module is connected to the data encoding module by signal, and the data encoding module is used to receive the data transmitted by the data encryption module and generate a user serial number from the encrypted data;

[0077] The data encoding module is connected to the storage module by signal, and the storage module is used to receive the data transmitted by the data encoding module and to archive and save the data.

[0078] The storage module is connected to the data upload module by signal, and the data upload module retrieves the customer data in the storage module and transmits the data to the cloud;

[0079] The data upload module is connected to the timing module signal, and the timing module is used to set the operation cycle of the data upload module;

[0080] The storage module is connected to the cycle management module by signal. The cycle management module is used to read the data date in the storage module and clean up the data outside the cycle.

[0081] The order generation module is connected to the identity authentication module by signal. After receiving the order data, the identity authentication module binds the order to the user's mobile phone number;

[0082] The identity verification module is connected to the customer identity comparison module and the storage module by signal, and the customer identity comparison module is used to receive data transmitted by the identity verification module and compare the data with the user data in the storage module;

[0083] The customer identity comparison module is signal-connected to the first judgment module, and the first judgment module is used to receive data transmitted by the customer identity comparison module and transmit the data according to the comparison result;

[0084] The first judgment module is connected to the file creation module and the supplement module by signals. When the first judgment module judges as no, the file creation module sends the customer data to the data encryption module. When the unique judgment module judges as yes, the supplement module transmits the order data to the storage module.

[0085] The data analysis module is connected to the storage module by signal. The data analysis module analyzes the categories of goods that the customer prefers to buy, the price range, and the shopping frequency according to the customer data, and sends the results;

[0086] The data analysis module is connected to the product recommendation module by signal. The product recommendation module recommends product information based on the product library and customer preferences and displays it through the display device;

[0087] The commodity recommendation module is connected to the second judgment module by signal, and the second judgment module is used to determine the customer demand and send the customer demand;

[0088] The payment module is connected to the order supplement module and the second judgment module by signal. The order supplement module is used to receive the data transmitted by the second judgment module, modify the order according to the data, and then pay through the payment module to complete the transaction;

[0089] The second judgment module is connected with the payment module signal. The second judgment module is used to transmit the customer's selection. The payment module is used to receive the order data transmitted by the second module and then trade through the payment module.

[0090] In the above embodiment, the data source access module is responsible for connecting to a database or other data source and transmitting user data to the data capture module. The data capture module receives the data transmitted by the data source access module. Its main task is to extract information such as the category, price range and shopping frequency of each customer's purchases. The data capture module transmits the extracted data to the data cleaning module. After receiving the data transmitted by the data capture module, the data cleaning module performs the following tasks:

[0091] Remove duplicates to ensure data uniqueness.

[0092] Handle missing values ​​by filling in missing data or performing other processing.

[0093] Correct format errors and unify data formats to ensure accuracy and consistency in subsequent processing.

[0094] After the data cleaning module processes the data, it transmits the cleaned data to the data conversion module. The data conversion module receives the data transmitted by the data cleaning module and is responsible for structuring the data to make it suitable for subsequent analysis and processing, ensuring that the quality of the data is guaranteed from the original data to the final structured data, including the integrity, consistency and accuracy of the data. This clear data flow processing process helps to improve the efficiency of data processing and the quality of the analysis results. The data encryption module in the management unit is responsible for encrypting the data to ensure the security of the data during transmission and storage. The data encoding module generates a unique user serial number based on the user's identity information to identify and manage user data. The data upload module in the data backup unit is connected to the cloud and is responsible for uploading the processed data to the cloud storage service. The timing module sets the cycle of uploading data to ensure that the data is regularly backed up to the cloud to deal with the risk of data loss or damage. The cycle management module: manages the life cycle of customer data, including the storage time and backup strategy of the data to meet regulatory requirements or business needs, ensuring the security, reliability and long-term accessibility of the data. Data encryption and encoding protect user privacy and data integrity, while scheduled data backup and cycle management ensure data persistence and recoverability. The data conversion module transfers the processed data to the data transmission module. After receiving the data, the data transmission module is responsible for compressing the data and then sending the compressed data to the designated destination, usually the cloud or other storage devices. The data transmission module transfers the compressed data to the data encryption module. After receiving the data, the data encryption module encrypts the privacy information therein to ensure the security and confidentiality of the data during transmission. The data encryption module transfers the encrypted data to the data encoding module. The data encoding module receives the encrypted data and generates a corresponding user serial number based on the user identity information to identify and manage the data, which is usually used for permissions. Control or data tracking, the data encoding module transmits the generated user serial number and data to the storage module. After receiving the data, the storage module is responsible for archiving or storing the data in the designated data storage device to ensure the persistence and reliability of the data, and ensure the safe transmission, encryption protection, and effective identification and management of the data from generation to storage. The data upload module retrieves customer data from the storage module and is responsible for transmitting the data to the cloud or other designated remote storage locations to realize data backup or remote access functions. The timing module is responsible for setting the operation cycle of the data upload module, such as performing a data upload operation once a day, week, or month to ensure that the data is updated to the cloud or other target storage locations in a timely manner. The cycle management module reads the data date information in the storage module to identify data outside the cycle.Generally, the cycle management module will clean up or archive expired or no longer needed data in the storage module according to the set retention policy to free up storage space and keep the data neat and efficient, ensuring the safe storage, regular backup and management of data in the system. At the same time, through scheduled tasks and cycle management, it realizes the automatic processing and maintenance of data. The order generation module generates order data and transmits the order data to the identity authentication module. The identity authentication module receives the order data and binds the order to the user's mobile phone number. The identity authentication module transmits the verified user data to the customer identity comparison module. The customer identity comparison module receives the data and compares it with the user data in the storage module. The customer identity comparison module transmits the comparison result to the first judgment module. The first judgment module processes the data according to the comparison result and transmits the data to the filing module or the supplementary module. After the first judgment module judges according to the conditions, it sends the data to the corresponding module:.

[0095] If the judgment is no, the data is sent to the data encryption module and processed by the file creation module.

[0096] If the judgment is yes, the data is directly transmitted to the storage module and processed by the supplementary module.

[0097] The data analysis module obtains customer data from the storage module, analyzes customer preferences and other information, and sends the analysis results to the product recommendation module, which recommends product information based on customer preferences and the product library. The second judgment module determines customer needs and processes related data.

[0098] The second judgment module transmits the customer demand to the order replenishment module.

[0099] The order replenishment module modifies the order data and completes the transaction payment through the payment module.

[0100] The second judgment module transmits the customer's selection or demand to the payment module.

[0101] The payment module receives order data and completes the payment transaction process. Recommending products that match user interests and preferences can enhance user satisfaction with the platform. Customers can find products they are interested in more quickly, which improves shopping efficiency and pleasure. When the recommended products meet user expectations and needs, users will purchase these products, thereby increasing transaction volume and platform sales. It can more accurately meet user shopping needs, thereby improving shopping cart conversion rate and order completion rate. Recommending products based on user preferences not only helps to improve user experience and shopping efficiency, but also increases platform sales and conversion rates.

[0102] Working principle: The data source access module is responsible for connecting to the database or other data sources and transmitting user data to the data capture module. The data capture module receives the data transmitted by the data source access module. Its main task is to extract information such as the category, price range and shopping frequency of each customer's purchases. The data capture module transmits the extracted data to the data cleaning module. After receiving the data transmitted by the data capture module, the data cleaning module performs the following tasks:

[0103] Remove duplicates to ensure data uniqueness.

[0104] Handle missing values ​​by filling in missing data or performing other processing.

[0105] Correct format errors and unify data formats to ensure accuracy and consistency of subsequent processing. After processing the data, the data cleaning module transmits the cleaned data to the data conversion module. The data conversion module receives the data transmitted by the data cleaning module and is responsible for structuring the data. The data encryption module in the management unit is responsible for encrypting the data to ensure the security of the data during transmission and storage. The data encoding module generates a unique user serial number based on the user's identity information to identify and manage user data. The data upload module in the data backup unit is connected to the cloud and is responsible for uploading the processed data to the cloud storage service. The timing module sets the cycle for uploading data to ensure that the data is regularly backed up to the cloud. The cycle management module: manages the life cycle of customer data, including the storage time and backup strategy of the data to meet regulatory requirements or business needs. The data conversion module will handle it. The data is transmitted to the data transmission module. After receiving the data, the data transmission module is responsible for compressing the data and then sending the compressed data to the designated destination, usually the cloud or other storage devices. The data transmission module transmits the compressed data to the data encryption module. After receiving the data, the data encryption module encrypts the privacy information therein. The data encryption module transmits the encrypted data to the data encoding module. The data encoding module receives the encrypted data and generates a corresponding user serial number based on the user identity information. The data encoding module transmits the generated user serial number and data to the storage module. After receiving the data, the storage module is responsible for archiving or storing the data in the designated data storage device. The cycle management module reads the data date information in the storage module to identify data outside the cycle. In general, the cycle management module will clean up or archive expired or no longer needed data in the storage module according to the set retention policy. The order generation module generates order data and transmits the order data to the identity authentication module. The identity authentication module receives the order data and binds the order to the user's mobile phone number. The identity authentication module transmits the verified user data to the customer identity comparison module. The customer identity comparison module receives the data and compares it with the user data in the storage module. The customer identity comparison module transmits the comparison result to the first judgment module. The first judgment module processes the data according to the comparison result and transmits the data to the filing module or the supplementary module. After the first judgment module judges according to the conditions, it sends the data to the corresponding module:

[0106] If the judgment is no, the data is sent to the data encryption module and processed by the file creation module.

[0107] If the judgment is yes, the data is directly transmitted to the storage module and processed by the supplementary module.

[0108] The data analysis module obtains customer data from the storage module, analyzes customer preferences and other information, and sends the analysis results to the product recommendation module, which recommends product information based on customer preferences and the product library. The second judgment module determines customer needs and processes related data.

[0109] The second judgment module transmits the customer demand to the order replenishment module.

[0110] The order replenishment module modifies the order data and completes the transaction payment through the payment module.

[0111] The second judgment module transmits the customer's selection or demand to the payment module.

[0112] The payment module receives the order data and completes the payment transaction process.

[0113] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A POS machine with an identification system, characterized in that: include: It consists of a data collection center for acquiring user data, a control center for providing a computing platform and data transmission, a storage center for storing user data, and a payment center for completing transactions; The data collection center is composed of a data source access module for connecting to a database, a data capture module for extracting consumer order information, a data cleaning module for processing and cleaning the collected data, a data conversion module for converting data into a format suitable for analysis, and a data transmission module for sending data; The storage center is composed of a management unit for organizing data, a data backup module for uploading data to the cloud, and a storage module for saving data; The payment center consists of an order generation module for generating commodity orders, an identity authentication module for entering a user's mobile phone number to confirm identity, a customer identity comparison module for comparing user data, a first judgment module for judging the comparison result, a file creation module for establishing a customer database, a supplementation module for supplementing the user database, a data analysis module for analyzing user consumption preferences, a commodity recommendation module for recommending commodities, a second judgment module for judging customer purchase intentions, an order supplementation module for correcting order data, and a payment module for collecting payments.

2. A POS machine with an identification system according to claim 1, characterized in that: The data source access module is signal-connected to the data capture module, and the data capture module is used to receive user data transmitted by the data source access module and extract the commodity categories, price ranges and shopping frequencies purchased by each customer; The data capture module is signal-connected to the data cleaning module, and the data cleaning module is used to receive the data transmitted by the data capture module, and remove duplicate items, process missing values, and correct format errors; The data cleaning module is signal-connected to the data conversion module, and the data conversion module is used to receive the data transmitted by the data cleaning module and convert the data into structured processing.

3. A POS machine with an identification system according to claim 2, characterized in that: The management unit is composed of a data encryption module for encrypting data and a data encoding module for generating a user serial number according to the user identity; The data backup unit is composed of a data uploading module for connecting to the cloud, a timing module for setting the uploading cycle, and a cycle management module for setting the customer data life cycle.

4. A POS machine with an identification system according to claim 1, characterized in that: The data conversion module is connected to the data transmission module by signal, and the data transmission module is used to receive the data transmitted by the data conversion module and send the data after compressing it; The data transmission module is connected to the data encryption module by signal, and the data encryption module is used to receive the data transmitted by the data transmission module and encrypt the data privacy information; The data encryption module is connected to the data encoding module by signal, and the data encoding module is used to receive the data transmitted by the data encryption module and generate a user serial number from the encrypted data; The data encoding module is connected to the storage module by signal, and the storage module is used to receive the data transmitted by the data encoding module and to archive and save the data.

5. A POS machine with an identification system according to claim 1, characterized in that: The storage module is connected to the data upload module by signal, and the data upload module retrieves the customer data in the storage module and transmits the data to the cloud; The data upload module is connected to the timing module by signal, and the timing module is used to set the operation cycle of the data upload module; The storage module is connected to the cycle management module by signal, and the cycle management module is used to read the data date in the storage module and clean up the data outside the cycle.

6. A POS machine with an identification system according to claim 1, characterized in that: The order generation module is signal-connected to the identity authentication module, and after receiving the order data, the identity authentication module binds the order to the user's mobile phone number; The identity verification module is connected to the customer identity comparison module and the storage module by signal, and the customer identity comparison module is used to receive data transmitted by the identity verification module and compare the data with the user data in the storage module; The customer identity comparison module is signal-connected to the first judgment module, and the first judgment module is used to receive data transmitted by the customer identity comparison module and transmit the data according to the comparison result; The first judgment module is connected to the file creation module and the supplement module by signals. The file creation module sends the customer data to the data encryption module when the first judgment module determines that it is no, and the supplement module transmits the order data to the storage module when the unique judgment module determines that it is yes; The data analysis module is connected to the storage module by signal, and the data analysis module analyzes the categories of goods that customers prefer to buy, the price range, and the shopping frequency according to the customer data, and sends the results; The data analysis module is connected to the product recommendation module by signal, and the product recommendation module recommends product information based on the product library and customer preferences, and displays it through a display device; The commodity recommendation module is signal-connected to the second judgment module, and the second judgment module is used to determine customer needs and send the customer needs; The payment module is connected to the order supplement module and the second judgment module by signal, and the order supplement module is used to receive the data transmitted by the second judgment module, modify the order according to the data, and then pay through the payment module to complete the transaction; The second judgment module is connected to the payment module signal. The second judgment module is used to transmit the customer's selection. The payment module is used to receive the order data transmitted by the second module and then trade through the payment module.