Ordering management system

Abstract

The invention relates to an ordering management system, which comprises a front-end ordering end and a front-end management end, a back-end commodity recommendation engine, a back-end order processing service, a back-end data analysis service and a back-end data storage service; a user inquires commodities through keywords or classification; after a user selects a commodity, automatically acquiring the price of the commodity and analyzing the category of the commodity; and according to the commodity price and the commodity category, the back-end commodity recommendation engine firstly recommends the same category of products with the price within a certain range, and then recommends the similar category of products with the price within the certain range. According to the invention, by introducing an intelligent recommendation engine, personalized commodity recommendation is realized, an order processing flow is optimized, deep integration with financial and logistics systems is realized, a commodity management function is enhanced, batch import and automatic analysis are realized, user interface interaction is innovated, rapid ordering and code scanning shopping are realized, and the performance, efficiency and user experience of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of supply management, specifically an order management system. Background Art

[0002] In the current fields of e-commerce and order management, traditional order management systems already have certain functions such as product management, order processing, and customer management. However, these systems often have the following deficiencies:

[0003] First of all, most of the existing systems in product recommendation are based on simple keyword matching or sales volume ranking, lacking an intelligent recommendation mechanism based on user behavior and product attributes, resulting in users having difficulty quickly finding products that meet their needs, and reducing the shopping experience and conversion rate.

[0004] Secondly, in the order processing process, the existing systems usually can only achieve basic functions such as order submission, payment, and delivery, lacking deep integration with the financial system and logistics system, resulting in untimely update of order status and difficult tracking of logistics information, affecting the efficiency and accuracy of order processing.

[0005] In addition, there are also many inconveniences in the existing systems in aspects such as product management, user interface interaction, and data analysis. For example, product management operations are cumbersome and require a large amount of manual information input; the user interface lacks innovation and the user experience is poor; the data analysis function is limited and it is difficult to provide valuable market insights and decision-making support.

[0006] The information disclosed in this background art section is only intended to deepen the understanding of the overall background art of the present invention, and should not be regarded as an admission or any form of implication that this information constitutes the prior art already known to those skilled in the art. Summary of the Invention

[0007] Aiming at the defects existing in the prior art, the purpose of the present invention is to provide an order management system, which realizes personalized product recommendation by introducing an intelligent recommendation engine, optimizes the order processing process to achieve deep integration with the financial and logistics systems, enhances the product management function to achieve batch import and automatic parsing, innovates the user interface interaction to achieve quick order placement and scan code shopping, and improves the performance, efficiency and user experience of the system.

[0008] To achieve the above purpose, the technical solution adopted by the present invention is:

[0009] An order management system, characterized by comprising:

[0010] A front-end order placement terminal, used for product query, order submission, order management, and personal account management;

[0011] A front-end management terminal, used for product management, order processing, customer management, and report display;

[0012] A back-end product recommendation engine for intelligent recommendation based on user behavior and product attributes;

[0013] A back-end order processing service for managing order payment and order delivery;

[0014] A back-end data analysis service for analyzing order data, providing data support for the recommendation engine, and generating statistical reports;

[0015] A back-end data storage service for providing product data storage, order data storage, and user data storage;

[0016] Users query products by keywords or categories;

[0017] When a user selects a product, the product price is automatically obtained and the product category is analyzed;

[0018] Based on the product price and product category, the back-end product recommendation engine first recommends products of the same category within a certain price range, and then recommends products of approximate categories with the same price within the said certain range.

[0019] On the basis of the above technical solution, the back-end product recommendation engine gives priority to recommending newly listed products according to the product listing time.

[0020] On the basis of the above technical solution, the back-end product recommendation engine gives priority to recommending products with high sales volume according to the product sales volume.

[0021] On the basis of the above technical solution, the back-end product recommendation engine gives priority to recommending high-profit margin products with promotions according to the promotion information and profit margin.

[0022] On the basis of the above technical solution, after the order is submitted, the order payment process or the order delivery process is triggered according to the order status;

[0023] By docking with the financial system, the order payment status is updated in real time;

[0024] By docking with the logistics system, the order logistics information is updated in real time.

[0025] On the basis of the above technical solution, the front-end order placement terminal includes a quick order placement sub-module;

[0026] Users add a product to the product purchase cache pool on the product details page of a certain product;

[0027] When there is at least one item in the product purchase cache pool, a countdown timer is started. When the countdown ends and there is no change in the addition or subtraction of items in the product purchase cache pool, the product purchase cache pool calls the quick order sub-module to automatically generate an order corresponding to the items in the product purchase cache pool and automatically trigger the order submission.

[0028] Based on the above technical solution, the user triggers the pause and adjustment of the countdown through interactive operations.

[0029] Based on the above technical solution, on the web version interface of the front-end order placement terminal, a QR code is presented on the detail page of a certain item. After the mobile device scans the QR code, the order submission of the certain item is triggered on the mobile device;

[0030] When submitting the order, the purchase quantity of the certain item is updated according to the numbers written on the touch screen of the mobile device.

[0031] Based on the above technical solution, the front-end management terminal provides a function for batch management of products, and automatically imports products in batches based on the folder name and product pictures in the folder;

[0032] When importing, the product name is parsed based on the name of the parent folder, and the unit price of the product is parsed based on the name of the sub-folder within the parent folder.

[0033] Based on the above technical solution, when the back-end data analysis service generates a basic statistical report, it further conducts in-depth analysis of user behavior and product sales trends through data mining to predict future sales volume and inventory.

[0034] The order placement management system described in the present invention has the following beneficial effects:

[0035] 1. Through the intelligent recommendation of the back-end product recommendation engine based on user behavior and product attributes, and dynamically adjusting the recommendation strategy according to factors such as product listing time, sales volume, promotion information, and profit margin, the system can more accurately meet user needs, improve the user's shopping experience and the conversion rate of products.

[0036] 2. Through the deep integration of the system with the financial system and the logistics system, the real-time update of the order payment status and the real-time tracking of logistics information are realized, greatly improving the efficiency and accuracy of order processing, and reducing service delays and user dissatisfaction caused by information lag.

[0037] 3. The quick order sub-module and countdown function of the front-end order placement terminal, as well as the mobile device QR code scanning order placement and quantity update mechanism, provide a more convenient and interactive shopping method for users, simplify the shopping process, and improve the shopping convenience of users.

[0038] Users can control the pause and speed change of the countdown through interactive operations. This innovative interactive method improves user engagement, making the shopping process more personalized and interesting.

[0039] 4. The commodity batch management function of the front-end management terminal can automatically identify the folder name and commodity pictures for batch import of commodity information, greatly reducing the cumbersome operation of commodity management and improving the efficiency of commodity information management. Brief Description of the Drawings

[0040] The present invention has the following drawings:

[0041] The drawings are used to better understand the present invention and do not constitute an improper limitation to the present invention. Among them:

[0042] Figure 1 The system architecture diagram of the first embodiment of the order management system described in the present invention. Detailed Implementation Manner

[0043] The following further describes the present invention in detail with reference to the drawings. The detailed description is made in conjunction with the exemplary embodiments of the present invention, including various details of the embodiments of the present invention to facilitate understanding, and they should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted below.

[0044] As Figure 1 shown, the order management system described in the present invention includes:

[0045] The front-end order terminal is used for commodity query, order submission, order management, and personal account management;

[0046] Through commodity query, users can search for target commodities through keywords, classifications, fuzzy matching, precise search, etc., and view commodity names, commodity pictures, commodity prices, etc.;

[0047] Through order management, users can view historical orders, track order status, manage pending and paid orders, and at the same time support order cancellation and order refund;

[0048] Through personal account management, users can register, log in, modify passwords, and update personal information;

[0049] The front-end management terminal is used for commodity management, order processing, customer management, and report display;

[0050] Through commodity management, administrators can add, edit, and delete commodities, and set commodity classifications, prices, and inventories;

[0051] Through the order processing, the administrator can view all orders, conduct order reviews, ship goods, and track logistics;

[0052] Through customer management, the administrator can view user information, group users according to filters or tagging, and generate user portraits (by collecting user behavior data such as browsing, searching, and purchasing to construct user portraits);

[0053] A back-end product recommendation engine for intelligent recommendation based on user behavior and product attributes;

[0054] A back-end order processing service for managing order payments and order shipments;

[0055] A back-end data analysis service for analyzing order data, providing data support for the recommendation engine, and generating statistical reports;

[0056] A back-end data storage service for providing product data storage, order data storage, and user data storage;

[0057] Users can query products by keywords or categories;

[0058] When a user selects a product, the product price is automatically obtained and the product category is analyzed;

[0059] Based on the product price and product category, the back-end product recommendation engine first recommends products of the same category within a certain price range, and then recommends products of similar categories within the same certain price range.

[0060] In this embodiment, the back-end product recommendation engine makes intelligent recommendations based on the product price and category selected by the user, which can provide a more personalized shopping experience for users; by recommending products of the same category or similar categories, the system can increase the exposure rate of other products, thereby improving the sales conversion rate and increasing sales; the system can recommend products according to the product price and category, which helps to promote the sales of similar products in the inventory and optimize the inventory turnover; by recommending products that users may be interested in, it can increase the user's stay time and browsing depth, thereby increasing user stickiness; dynamically adjusting the recommendation strategy according to the user's operations, feedback, and purchase behavior can adapt to market changes and the evolution of user preferences, and can also help users better compare prices and select products among similar products, saving the user's time and enhancing the user experience.

[0061] On the basis of the above technical solutions, the back-end product recommendation engine gives priority to recommending newly listed products according to the product listing time. Users can timely learn about the latest products in the store, meet the user's needs for novel and trendy products, and enhance the user's shopping experience and sense of freshness.

[0062] Based on the above technical solutions, the backend product recommendation engine gives priority to recommending high-sales products according to product sales volume. High-sales products often mean better quality and wider user recognition. By recommending these products, the decision-making cost of users can be reduced and the shopping efficiency can be improved.

[0063] Based on the above technical solutions, the backend product recommendation engine gives priority to recommending high-profit-margin products with promotions according to promotion information and profit margins. This can not only allow users to enjoy preferential prices but also bring higher profits to merchants, achieving a win-win situation. At the same time, promotion information can also stimulate users' desire to purchase and promote sales.

[0064] Based on the above technical solutions, after the order is submitted, the order payment process or the order delivery process is triggered according to the order status;

[0065] By docking with the financial system, the order payment status is updated in real time;

[0066] By docking with the logistics system, the order logistics information is updated in real time.

[0067] This embodiment not only improves the efficiency and accuracy of order processing, optimizes the user experience and satisfaction, but also reduces the operation costs and risks.

[0068] After the order is submitted, the system automatically triggers the payment process or the delivery process according to the order status, reducing manual intervention and improving the efficiency and accuracy of order processing.

[0069] By docking with the financial and logistics systems, the system can update the order payment status and logistics information in real time, ensuring that users and administrators can always keep track of the latest dynamics of the order.

[0070] Based on the above technical solutions, the front-end order placement terminal includes a quick order placement sub-module;

[0071] The user adds a certain product to the product purchase cache pool on the product details page;

[0072] When there is at least one product in the product purchase cache pool, a countdown timer is started. When the countdown ends and there is no change in the addition or subtraction of products in the product purchase cache pool, the product purchase cache pool calls the quick order placement sub-module to automatically generate an order corresponding to the products in the product purchase cache pool and automatically trigger the order submission.

[0073] In this embodiment, the user does not need to select products one by one and manually submit the order. Just add the products to the purchase cache pool and wait for the countdown to end, then the order can be automatically generated and submitted, greatly simplifying the order placement process and improving the shopping efficiency. Through the product purchase cache pool and the quick order placement sub-module, the user does not need to click the confirmation and submission buttons multiple times, reducing the operation steps and enhancing the user experience.

[0074] By simplifying the order - placing process, the user churn rate is reduced, the conversion rate is increased, and more sales opportunities are brought to merchants. The system can collect user behavior data in the product purchase cache pool, such as the number, types, and time of products added to the cache pool, providing a basis for subsequent data analysis and optimization. By analyzing user behavior data, merchants can understand users' shopping habits and preferences, thereby optimizing product recommendations and marketing strategies to improve sales performance.

[0075] Based on the above - mentioned technical solution, the user triggers the pause and adjustment (increase or decrease) of the countdown through interactive operations.

[0076] Exemplarily, a countdown component is presented. Clicking on the countdown component triggers the pause of the countdown; clicking on the increase - decrease button on the countdown component triggers the adjustment (increase or decrease) of the countdown.

[0077] Users can pause the countdown or adjust the countdown time at any time according to their own needs. This flexibility can meet different users' shopping habits and time arrangements, increasing the interactivity between users and the system and giving users more control during the shopping process.

[0078] Users can flexibly adjust the countdown time according to different shopping scenarios. For example, when selecting multiple products, the countdown can be paused to continue browsing; after confirming the purchase, the countdown can be started or adjusted to place an order quickly.

[0079] Providing an interactive countdown function offers a differentiated service to merchants, attracting more users who pursue personalized shopping experiences and enhancing market competitiveness. By providing a flexible and convenient shopping experience, it can improve users' loyalty and satisfaction with the brand, thereby promoting word - of - mouth dissemination and increasing the repurchase rate.

[0080] Based on the above - mentioned technical solution, in the web - based interface of the front - end order - placing terminal, a QR code is presented on the product detail page of a certain product. After the mobile device scans the QR code, the order submission of the certain product is triggered on the mobile device;

[0081] When submitting the order, the purchase quantity of the certain product is updated according to the numbers written by touching the screen on the mobile device.

[0082] Considering that there may be differences in discounts and services in different interactive interfaces, to enhance the user experience, users can browse product details on the web - based interface and easily transfer their shopping intentions to the mobile device by scanning the QR code, achieving seamless cross - device connection and improving the convenience of shopping. Allowing users to directly write numbers on the mobile device screen to update the purchase quantity, this intuitive operation method reduces the operation difficulty for users and improves shopping efficiency.

[0083] The system can collect cross-device behavior data of users between the web version and the mobile end, such as browsing duration, click times, purchase quantity, etc. These data can provide a basis for subsequent user behavior analysis and optimization.

[0084] Provide a cross-device linked shopping method and an intuitive operation method, which provide a differentiated service for merchants and can attract more users who pursue a convenient and personalized shopping experience. By providing a high-quality shopping experience, merchants can enhance users' loyalty and satisfaction with the brand, and thus promote word-of-mouth spread and the increase of repurchase rate.

[0085] Based on the above technical solution, the front-end management end provides a function for batch management of goods. Based on the folder name and the product pictures in the folder, the goods are automatically imported in batches;

[0086] When importing, the product name is parsed based on the name of the parent folder, and the unit price of the product is parsed based on the name of the sub-folder within the parent folder.

[0087] Allow administrators to batch import goods through folders and pictures, which greatly reduces the cumbersome process of manually entering product information and improves the efficiency of product management. Automatically parsing the product name and unit price according to the folder and sub-folder names reduces the error rate of manual checking and input, and further improves the efficiency. By stipulating the naming rules of folders and sub-folders, the standardization and consistency of product information can be ensured, which is convenient for subsequent management and analysis.

[0088] Batch import and automated parsing reduce the dependence on human resources and lower the labor cost of the enterprise; automated parsing reduces human errors, improves the accuracy of product information, and reduces the operating cost caused by incorrect information.

[0089] Based on the above technical solution, when the back-end data analysis service generates basic statistical reports, it further conducts in-depth analysis of user behavior and product sales trends through data mining to predict future sales volume and inventory.

[0090] The content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0091] The above is only the preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiment. Any equivalent modification or change made by those skilled in the art according to the content disclosed by the present invention shall be included in the protection scope recorded in the claims.

Claims

1. Order management system, characterized in that, include: Front-end ordering terminal, used for product inquiry, order submission, order management, and personal account management; Front-end management, used for product management, order processing, customer management, and report display; Backend product recommendation engine, used for intelligent recommendation based on user behavior and product attributes; Back-end order processing services, used to manage order payments and order shipments; Back-end data analysis service, used to analyze order data, provide data support for the recommendation engine, and generate statistical reports; Backend data storage service, used to provide product data storage, order data storage, and user data storage; Users search for products by keywords or categories; When a user selects a product, the product price is automatically obtained and the product category is analyzed; The backend product recommendation engine first recommends products of the same category with a price range based on product price and product category, and then recommends products of similar categories with prices also within the specified range.

2. The order management system according to claim 1, characterized in that: The backend product recommendation engine gives priority to newly listed products based on the time when the products were put on the shelves.

3. The order management system according to claim 1, characterized in that: The backend product recommendation engine gives priority to high-selling products based on product sales.

4. The order management system according to claim 1, characterized in that: The backend product recommendation engine gives priority to recommending high-profit products with promotions based on promotional information and profit margins.

5. The order management system according to claim 1, characterized in that: After the order is submitted, the order payment process or order delivery process is triggered according to the order status; By connecting with the financial system, the order payment status can be updated in real time; By connecting with the logistics system, order logistics information can be updated in real time.

6. The order management system according to claim 1, characterized in that: The front-end ordering end includes a quick order placement submodule; The user adds a product to the product purchase cache pool on the product details page; When the product purchase cache pool includes at least one product, a countdown timer is started. When the countdown ends and there is no increase or decrease in the product in the product purchase cache pool, the product purchase cache pool calls the quick order sub-module to automatically generate an order corresponding to the product in the product purchase cache pool and automatically triggers order submission.

7. The order management system according to claim 6, characterized in that: The user triggers the pause of the countdown and the increase or decrease of the countdown through interactive operations.

8. The order management system according to claim 1, characterized in that: In the web page interface of the front-end ordering terminal, a QR code is presented on the details page of a certain product. After the mobile terminal scans the QR code, the order submission of the certain product is triggered on the mobile terminal; When the order is submitted, the purchase quantity of the item is updated according to the number written on the mobile touch screen.

9. The order management system according to claim 1, characterized in that: The front-end management terminal provides a product batch management function, which automatically imports products in batches based on the folder name and product images in the folder; During import, the product name is resolved based on the name of the parent folder, and the product unit price is resolved based on the name of the subfolder within the parent folder.

10. The order management system according to claim 1, characterized in that: When the back-end data analysis service generates basic statistical reports, it further conducts in-depth analysis of user behavior and product sales trends through data mining to predict future sales and inventory levels.

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