Garment sales system based on Internet
By designing an Internet-based clothing sales system that includes personalized recommendations, real-time inventory management, multi-channel payment and logistics optimization modules, the problems of inaccurate personalized recommendations, inaccurate inventory management, limited payment methods and high logistics distribution costs in the existing technology are solved, and a more efficient and safer shopping experience and inventory management are achieved.
Patent Information
- Application Number
- CN202411801418.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, personalized recommendations rely on simple rules and cannot provide accurate suggestions; inventory management lacks real-time data support, resulting in out-of-stock or backlog; payment methods are limited and security guarantees are insufficient, which can easily lead to data leakage or transaction fraud; logistics and distribution rely on manual scheduling, which is costly and timely.
Design an Internet-based clothing sales system, including user experience module, inventory management module, multi-channel payment module and logistics optimization module. The user experience module adopts a personalized recommendation algorithm, the inventory management module uses real-time data to predict demand and inventory scheduling, the multi-channel payment module supports multiple payment methods and adopts multiple encryption technology, and the logistics optimization module optimizes the distribution route and provides a variety of distribution options.
It significantly improves user shopping experience, inventory management efficiency and order delivery accuracy, provides highly personalized product recommendations, optimizes inventory scheduling, improves payment convenience and security, and reduces logistics costs and delivery time.
Smart Images

Figure CN119671682A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of clothing sales, and in particular relates to a clothing sales system based on the Internet. Background Art
[0002] An Internet-based clothing sales system uses a network platform to realize online display, selection, purchase and delivery of clothing products. The system provides users with a variety of clothing products through web pages or mobile applications, and recommends personalized products based on user needs. The system integrates payment functions, order management, inventory monitoring, logistics and distribution modules to ensure timely update of product information and efficient order flow, and improves user satisfaction through accurate product recommendations. The advantage of this system is that there is no geographical restriction, consumers can shop anytime and anywhere, and at the same time reduce the intermediate links in the traditional retail model.
[0003] In existing technologies, personalized recommendations often rely on simple rules and cannot provide accurate suggestions based on user preferences; inventory management lacks real-time data support, which can easily lead to out-of-stock or backlogs; payment methods are limited and security is insufficient, which can easily lead to data leakage or transaction fraud; logistics distribution usually relies on manual scheduling, with high delivery costs and poor timeliness.
[0004] Based on this, the present invention designs a clothing sales system based on the Internet to solve the above problems. Summary of the invention
[0005] The purpose of the present invention is to propose an Internet-based clothing sales system to solve the problems in the prior art that personalized recommendations often rely on simple rules and cannot provide accurate suggestions based on user preferences; inventory management lacks real-time data support, which can easily lead to out-of-stock or backlogs; payment methods are limited and security is insufficient, which can easily lead to data leakage or transaction fraud; logistics distribution usually relies on manual scheduling, with high distribution costs and poor timeliness.
[0006] In order to achieve the above object, the present invention adopts the following technical solutions:
[0007] A clothing sales system based on the Internet, comprising:
[0008] The user experience module allows users to browse, filter, and purchase clothing, providing personalized recommendations and shopping experience;
[0009] Inventory management module, which manages clothing inventory based on real-time data and realizes replenishment and inventory scheduling;
[0010] Multi-channel payment module supports multiple payment methods and improves the convenience of payment;
[0011] The logistics optimization module optimizes delivery routes according to user needs and geographical locations, reduces logistics costs and improves delivery efficiency.
[0012] As a further description of the above technical solution:
[0013] The user experience module includes a personalized recommendation algorithm, and the personalized recommendation algorithm includes:
[0014] User similarity calculation: The system calculates the similarity between users using cosine similarity, and the formula is:
[0015]
[0016] Among them, R u1i and R u2i , are the ratings of user u1 and u2 on product i. By calculating the similarity between users, we can recommend products that other users like.
[0017] Rating prediction: Based on the similarity of users, predict the user's rating for unpurchased products. The formula is:
[0018]
[0019] Among them, N(u1) is the set of users similar to user u1;
[0020] Product feature matching: Generate recommendations by calculating the dot product of the product feature vector and the user interest vector. The formula is:
[0021]
[0022] Among them, y u is the user interest vector, X i is the feature vector of product i, generating product recommendations that best match user interests.
[0023] As a further description of the above technical solution:
[0024] The inventory management module includes:
[0025] Demand forecasting and inventory scheduling: The system uses historical sales data and market trends to automatically forecast demand and automatically adjust inventory based on the forecast to avoid overstocking and out-of-stock situations.
[0026] Supply chain optimization: Based on real-time data, the system can connect with suppliers and warehousing systems to automatically replenish and restock to ensure adequate supply of goods;
[0027] Inventory transparency and tracking: Provide users with inventory status and shipping progress tracking of goods to ensure transparency of inventory and supply chain;
[0028] Efficient inventory analysis: Through data analysis, we can optimize the order of product placement and storage methods to improve warehouse management efficiency.
[0029] As a further description of the above technical solution:
[0030] The multi-channel payment module includes:
[0031] Installment and credit payment: Users can choose to pay by installment or credit, which increases purchase flexibility;
[0032] Payment security: The system uses multiple encryption technologies to ensure the security of user payment information and prevent payment data leakage and transaction fraud;
[0033] Payment success feedback and refund process: Once the payment is completed, the system provides instant feedback on the payment result and simplifies the refund process to improve the user experience;
[0034] Multiple electronic payment channels: support multiple payment channels.
[0035] As a further description of the above technical solution:
[0036] The logistics optimization module includes:
[0037] Real-time logistics tracking: Users can view the delivery progress of the package in real time and obtain delivery time estimates, improving the predictability of the shopping experience;
[0038] Multiple delivery options: The system supports multiple delivery methods, such as fast delivery, standard delivery, store pickup, instant delivery, etc. Users can choose the appropriate delivery option according to their needs;
[0039] Cross-border e-commerce logistics support: For international users, the system provides cross-border logistics support, supports automatic calculation of tariffs and taxes, and optimizes international transportation routes.
[0040] As a further description of the above technical solution:
[0041] The user experience module includes voice assistant support, and users can interact with the system through voice to search for products, query orders and complete payment operations, thereby enhancing the seamless shopping experience.
[0042] As a further description of the above technical solution:
[0043] The inventory management module includes:
[0044] Product life cycle management: The system tracks the life cycle of each product and optimizes inventory and promotion strategies in a timely manner;
[0045] Periodic inventory review: The system automatically generates inventory reports regularly to check inventory status and trigger recommendations for replenishment or promotional activities.
[0046] As a further description of the above technical solution:
[0047] The logistics optimization module also includes:
[0048] Order aggregation and split delivery: The system can aggregate or split multiple orders according to the user's order quantity and delivery requirements, optimize the use of delivery resources, and reduce transportation costs;
[0049] Dynamically adjust delivery strategies: Automatically adjust delivery priorities and delivery personnel configurations based on real-time market demand and order volume changes to ensure timely delivery of orders;
[0050] Environmentally friendly packaging selection: The system allows users to choose environmentally friendly packaging materials, reduce resource waste and support sustainable development.
[0051] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:
[0052] In the present invention, the Internet-based clothing sales system provided significantly improves the user shopping experience, inventory management efficiency and order delivery accuracy by comprehensively applying various technical means such as personalized recommendation, inventory management, convenient payment and logistics optimization. Specifically, the system can provide highly personalized product recommendations based on the user's historical behavior, interest preferences and product characteristics, help users quickly find clothing of interest, and enhance shopping satisfaction. At the same time, the inventory management function can optimize inventory scheduling based on real-time sales data and demand forecasts, avoid excessive inventory and out-of-stock phenomena, and reduce operating costs. The multi-channel payment module supports multiple payment methods, improves the convenience and security of payment, and further improves the user's shopping experience. The logistics optimization module can optimize the delivery route and provide multiple delivery methods, reduce delivery time and cost, and improve logistics efficiency. The overall system improves the collaborative efficiency of each link in the sales process, reduces operating costs, and enhances market competitiveness. BRIEF DESCRIPTION OF THE DRAWINGS
[0053] Figure 1 This is a schematic diagram of the overall process of an Internet-based clothing sales system proposed by the present invention;
[0054] Figure 2 A schematic diagram of a personalized recommendation process of an Internet-based clothing sales system proposed by the present invention;
[0055] Figure 3 The present invention is a schematic diagram of the module flow of an Internet-based clothing sales system. DETAILED DESCRIPTION
[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0057] See also Figure 1-Figure 3 The present invention provides a technical solution: an Internet-based clothing sales system, comprising:
[0058] The user experience module allows users to browse, filter, and purchase clothing, providing personalized recommendations and shopping experience;
[0059] Inventory management module, which manages clothing inventory based on real-time data and realizes replenishment and inventory scheduling;
[0060] Multi-channel payment module supports multiple payment methods and improves the convenience of payment;
[0061] The logistics optimization module optimizes delivery routes according to user needs and geographical locations, reduces logistics costs and improves delivery efficiency.
[0062] Specifically, Figure 2-Figure 3 As shown, the user experience module includes a personalized recommendation algorithm, which includes:
[0063] User similarity calculation: The system calculates the similarity between users using cosine similarity, and the formula is:
[0064]
[0065] Among them, R u1i and R u2i , are the ratings of user u1 and u2 on product i. By calculating the similarity between users, we can recommend products that other users like.
[0066] Rating prediction: Based on the similarity of users, predict the user's rating for unpurchased products. The formula is:
[0067]
[0068] Among them, N(u1) is the set of users similar to user u1;
[0069] Product feature matching: Generate recommendations by calculating the dot product of the product feature vector and the user interest vector. The formula is:
[0070]
[0071] Among them, y u is the user interest vector, X i is the feature vector of product i, generating product recommendations that best match user interests.
[0072] Specifically, Figure 2-Figure 3 As shown, the inventory management module includes:
[0073] Demand forecasting and inventory scheduling: The system uses historical sales data and market trends to automatically forecast demand and automatically adjust inventory based on the forecast to avoid overstocking and out-of-stock situations.
[0074] Supply chain optimization: Based on real-time data, the system can connect with suppliers and warehousing systems to automatically replenish and restock to ensure adequate supply of goods;
[0075] Inventory transparency and tracking: Provide users with inventory status and shipping progress tracking of goods to ensure transparency of inventory and supply chain;
[0076] Efficient inventory analysis: Through data analysis, we can optimize the order of product placement and storage methods to improve warehouse management efficiency.
[0077] The inventory management module uses historical sales data and market trends to predict demand and automatically adjust inventory to avoid overstocking and out-of-stock situations. The system connects with suppliers and warehousing systems in real time to achieve automatic replenishment and stock replenishment to ensure adequate supply of goods. At the same time, it provides inventory status and logistics progress tracking functions to improve transparency and user trust. Through data analysis, it optimizes the order of product listing and storage methods, improves warehouse management efficiency, ensures efficient inventory operations and timely satisfaction of user needs.
[0078] Specifically, Figure 3 As shown, the multi-channel payment module includes:
[0079] Installment and credit payment: Users can choose to pay by installment or credit, which increases purchase flexibility;
[0080] Payment security: The system uses multiple encryption technologies to ensure the security of user payment information and prevent payment data leakage and transaction fraud;
[0081] Payment success feedback and refund process: Once the payment is completed, the system provides instant feedback on the payment result and simplifies the refund process to improve the user experience;
[0082] Multiple electronic payment channels: support multiple payment channels.
[0083] The multi-channel payment module provides installment payment and credit payment options, allowing users to flexibly choose payment methods according to their own financial situation when shopping, thereby increasing the convenience and flexibility of purchases. The system uses advanced multiple encryption technology to ensure the security of user payment information and prevent payment data leakage and transaction fraud. At the same time, after a successful payment, the system provides instant feedback to inform the user of the payment result, and simplifies the refund process to enhance the user experience. In addition, the system supports a variety of electronic payment methods, including credit cards, Alipay, WeChat Pay, etc., to meet the payment needs of different users and ensure that the payment process is efficient, convenient and secure.
[0084] Specifically, Figure 1-Figure 3 As shown, the logistics optimization module includes:
[0085] Real-time logistics tracking: Users can view the delivery progress of the package in real time and obtain delivery time estimates, improving the predictability of the shopping experience;
[0086] Multiple delivery options: The system supports multiple delivery methods, such as fast delivery, standard delivery, store pickup, instant delivery, etc. Users can choose the appropriate delivery option according to their needs;
[0087] Cross-border e-commerce logistics support: For international users, the system provides cross-border logistics support, supports automatic calculation of tariffs and taxes, and optimizes international transportation routes.
[0088] The logistics optimization module uses real-time logistics tracking to enable users to check the delivery progress of packages and obtain estimated delivery times at any time, thereby improving the predictability of shopping and user experience. The system provides a variety of delivery options, including fast delivery, standard delivery, store pickup, and instant delivery. Users can flexibly choose the most suitable delivery method according to their needs, increasing the flexibility of delivery. For international users, the system also supports cross-border e-commerce logistics, automatically calculates tariffs and taxes, and optimizes international transportation routes to ensure efficient and safe cross-border delivery and reduce the complexity of international shopping.
[0089] Specifically, Figure 2-Figure 3 As shown, the user experience module includes voice assistant support, and users can interact with the system through voice to search for products, query orders and complete payment operations, thereby enhancing the seamless shopping experience.
[0090] The user experience module is supported by a voice assistant, which enables users to interact with the system through voice, easily perform product searches, order inquiries and payment operations, and provide a more convenient shopping experience. Users do not need manual operations, and the voice assistant can respond quickly according to instructions, greatly improving the smoothness and seamless experience of shopping. This function not only enhances user interactivity, but also saves time, making the shopping process more efficient and intuitive, and further improving user satisfaction.
[0091] As a further description of the above technical solution:
[0092] The inventory management module includes:
[0093] Product life cycle management: The system tracks the life cycle of each product and optimizes inventory and promotion strategies in a timely manner;
[0094] Periodic inventory review: The system automatically generates inventory reports regularly to check inventory status and trigger recommendations for replenishment or promotional activities.
[0095] The inventory management module tracks the listing, sales, and delisting of each product through the product life cycle management function, optimizes inventory and promotion strategies in a timely manner, and ensures that the inventory of products at each life cycle stage is sufficient and reasonable. The system also automatically generates inventory reports on a regular basis, conducts periodic inventory audits, checks inventory status, and triggers recommendations for replenishment or promotion activities based on actual conditions to ensure that inventory is always in the best condition, avoid out-of-stock or overstock situations, and improve overall inventory management efficiency.
[0096] Specifically, Figure 2-Figure 3 As shown, the logistics optimization module also includes:
[0097] Order aggregation and split delivery: The system can aggregate or split multiple orders according to the user's order quantity and delivery requirements, optimize the use of delivery resources, and reduce transportation costs;
[0098] Dynamically adjust delivery strategies: Automatically adjust delivery priorities and delivery personnel configurations based on real-time market demand and order volume changes to ensure timely delivery of orders;
[0099] Environmentally friendly packaging selection: The system allows users to choose environmentally friendly packaging materials, reduce resource waste and support sustainable development.
[0100] The logistics optimization module aggregates or splits multiple orders according to the user's order quantity and delivery needs through order aggregation and split delivery functions, thereby optimizing the use of delivery resources and reducing transportation costs. The system can also dynamically adjust delivery strategies according to real-time market demand and order volume changes, automatically optimize delivery priorities and delivery personnel allocation, and ensure that orders can be delivered in a timely and accurate manner. In order to support sustainable development, the system also provides environmentally friendly packaging options, allowing users to choose packaging made of environmentally friendly materials, reduce resource waste, and further promote the realization of green logistics and environmental protection concepts.
[0101] Working principle, when in use: User experience module: Through the personalized recommendation algorithm, users can get personalized product recommendations based on their historical purchase records, search behaviors and similarities with other users. The system uses algorithms such as content recommendation and mixed recommendation to push products to users based on their preferences. At the same time, users can also use voice assistants to achieve a seamless shopping experience, quickly search for products, check orders and complete payments;
[0102] Inventory management module: The inventory management module monitors the inventory status of clothing products in real time, automatically adjusts inventory through demand forecasting algorithms, and predicts future demand based on market trends and historical sales data. The system connects with the supply chain system to replenish and schedule inventory to ensure efficient use of inventory and avoid excessive inventory or out-of-stock situations. At the same time, the system can also track and analyze the life cycle of the product, and adjust inventory strategies and promotion plans in a timely manner through periodic inventory audit reports; Multi-channel payment module: Users can choose a variety of payment methods when shopping, including credit cards, Alipay, WeChat Pay, Apple Pay, etc. The system also supports installment payments and credit payments, which increases the flexibility of user payments. At the same time, the system uses multiple encryption technologies to ensure payment security and prevent payment information leakage and transaction fraud. After payment is completed, users can receive instant feedback, and if a refund occurs, the system provides a simple refund process to further enhance the user experience; Logistics optimization module: The system obtains the user's geographic location and order information in real time, optimizes the delivery route, and ensures that the package can be delivered to the user quickly and safely. By dynamically adjusting the delivery strategy, the system can optimize the delivery priority and delivery personnel configuration in real time when the order volume changes and the market demand fluctuates to ensure timely delivery.
[0103] 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. An Internet-based clothing sales system, characterized in that: include: The user experience module allows users to browse, filter, and purchase clothing, providing personalized recommendations and shopping experience; Inventory management module, which manages clothing inventory based on real-time data and realizes replenishment and inventory scheduling; Multi-channel payment module supports multiple payment methods and improves the convenience of payment; The logistics optimization module optimizes delivery routes according to user needs and geographical locations, reduces logistics costs and improves delivery efficiency.
2. The Internet-based clothing sales system according to claim 1, characterized in that: The user experience module includes a personalized recommendation algorithm, and the personalized recommendation algorithm includes: User similarity calculation: The system calculates the similarity between users using cosine similarity, and the formula is: Among them, R u1i and R u2i , are the ratings of user u1 and u2 on product i. By calculating the similarity between users, we can recommend products that other users like. Rating prediction: Based on the similarity of users, predict the user's rating for unpurchased products. The formula is: Among them, N(u1) is the set of users similar to user u1; Product feature matching: Generate recommendations by calculating the dot product of the product feature vector and the user interest vector. The formula is: Among them, y u is the user interest vector, X i is the feature vector of product i, generating product recommendations that best match user interests.
3. The Internet-based clothing sales system according to claim 1, characterized in that: The inventory management module includes: Demand forecasting and inventory scheduling: The system uses historical sales data and market trends to automatically forecast demand and automatically adjust inventory based on the forecast to avoid overstocking and out-of-stock situations. Supply chain optimization: Based on real-time data, the system can connect with suppliers and warehousing systems to automatically replenish and restock to ensure adequate supply of goods; Inventory transparency and tracking: Provide users with inventory status and shipping progress tracking of goods to ensure transparency of inventory and supply chain; Efficient inventory analysis: Through data analysis, we can optimize the order of product placement and storage methods to improve warehouse management efficiency.
4. The Internet-based clothing sales system according to claim 1, characterized in that: The multi-channel payment module includes: Installment and credit payment: Users can choose to pay by installment or credit, which increases purchase flexibility; Payment security: The system uses multiple encryption technologies to ensure the security of user payment information and prevent payment data leakage and transaction fraud; Payment success feedback and refund process: Once the payment is completed, the system provides instant feedback on the payment result and simplifies the refund process to improve the user experience; Multiple electronic payment channels: support multiple payment channels.
5. The Internet-based clothing sales system according to claim 1, characterized in that: The logistics optimization module includes: Real-time logistics tracking: Users can view the delivery progress of the package in real time and obtain delivery time estimates, improving the predictability of the shopping experience; Multiple delivery options: The system supports multiple delivery methods, such as fast delivery, standard delivery, store pickup, instant delivery, etc. Users can choose the appropriate delivery option according to their needs; Cross-border e-commerce logistics support: For international users, the system provides cross-border logistics support, supports automatic calculation of tariffs and taxes, and optimizes international transportation routes.
6. The Internet-based clothing sales system according to claim 1, characterized in that: The user experience module includes voice assistant support, and users can interact with the system through voice to search for products, query orders and complete payment operations, thereby enhancing the seamless shopping experience.
7. The Internet-based clothing sales system according to claim 1, characterized in that: The inventory management module includes: Product life cycle management: The system tracks the life cycle of each product and optimizes inventory and promotion strategies in a timely manner; Periodic inventory review: The system automatically generates inventory reports regularly to check inventory status and trigger recommendations for replenishment or promotional activities.
8. The Internet-based clothing sales system according to claim 1, characterized in that: The logistics optimization module also includes: Order aggregation and split delivery: The system can aggregate or split multiple orders according to the user's order quantity and delivery requirements, optimize the use of delivery resources, and reduce transportation costs; Dynamically adjust delivery strategies: Automatically adjust delivery priorities and delivery personnel configurations based on real-time market demand and order volume changes to ensure timely delivery of orders; Environmentally friendly packaging selection: The system allows users to choose environmentally friendly packaging materials, reduce resource waste and support sustainable development.