E-commerce logistics management system
By designing the order processing, inventory management, distribution path optimization and logistics information update modules of the e-commerce logistics management system, the shortcomings of traditional systems in information update, distribution efficiency, inventory management, etc. are solved, and efficient, accurate and intelligent logistics management is achieved, meeting the needs of modern e-commerce.
Patent Information
- Application Number
- CN202510178812.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-18
- Publication Date
- 2025-06-06
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional e-commerce logistics management systems have shortcomings in information update, distribution efficiency, inventory management, intelligence and automation, user experience and cost control, and it is difficult to meet the efficient, accurate and intelligent needs of modern e-commerce for logistics management.
An e-commerce logistics management system has been designed, including an order processing module, inventory management module, distribution path optimization module and logistics information update module. Through real-time data collection and update, the distribution path is optimized, inventory management and user experience are improved, and transportation costs are reduced.
Real-time synchronization of information is achieved, distribution paths and inventory management are optimized, user experience and transportation efficiency are improved, transportation costs are reduced, and modern e-commerce needs for efficient, accurate and intelligent logistics management.
Smart Images

Figure CN120106718A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of logistics supply technology, and in particular to an e-commerce logistics management system. Background Art
[0002] E-commerce logistics refers to a series of logistics activities such as transportation, warehousing, and distribution of goods from suppliers to consumers on e-commerce platforms. With the rapid development of e-commerce, e-commerce logistics plays an increasingly important role in meeting the needs of fast, accurate, and low-cost distribution. With the rapid development of the e-commerce industry, the transaction volume on e-commerce platforms has shown an exponential growth, which has put forward higher requirements for logistics management. As a key link in the e-commerce supply chain, the efficiency and service quality of logistics directly affect the user experience and the market competitiveness of enterprises. The main links of e-commerce logistics include warehousing management, order processing, distribution network, last-mile distribution, and return and exchange services.
[0003] However, traditional logistics management systems have gradually exposed many problems in the face of growing order volumes and complex and changeable delivery demands. Traditional e-commerce logistics management systems have many deficiencies in information updating, delivery efficiency, inventory management, intelligence and automation, user experience and cost control, and are difficult to meet the modern e-commerce's demand for efficient, accurate and intelligent logistics management. Therefore, technical personnel in this field provide an e-commerce logistics management system to solve the problems raised in the above background technology. Summary of the invention
[0004] 1. Technical issues to be solved
[0005] In view of the deficiencies in the prior art, the present invention provides an e-commerce logistics management system that solves the problems of information updating, distribution efficiency, inventory management, intelligence and automation, user experience and cost control existing in traditional systems.
[0006] (II) Technical solution
[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an e-commerce logistics management system, comprising:
[0008] The order processing module is used to receive and confirm user orders and generate logistics tasks;
[0009] Inventory management module, used to monitor and manage inventory information in real time to ensure the accuracy of inventory data;
[0010] The delivery route optimization module is used to optimize the delivery route based on order information, warehouse location, and delivery personnel location;
[0011] Logistics information update module, used to update logistics information in real time, including order status and delivery progress;
[0012] The user interaction module is used to interact with users and provide logistics information query and feedback.
[0013] Preferably, the order processing module comprises the following steps:
[0014] S1. Order reception: users select products on the e-commerce platform and submit orders. Order information includes user information, product information and payment information. Order information is transmitted from the e-commerce platform to the order processing module through the API interface or message queue. The system performs a preliminary format check on the received order data to ensure data integrity and correctness.
[0015] S2. Order verification: the system verifies the user's identity information, including whether the user exists and whether the account status is normal. If the user information is incorrect or the account status is abnormal, the system will reject the order and notify the user. Confirm whether the user has completed the payment. The payment status is obtained in real time through the payment gateway and callback interface. The system queries the inventory management module to confirm whether there is sufficient inventory of the required goods. If the inventory is insufficient, the system will trigger an inventory warning and notify the user to choose to wait for replenishment or cancel the order. Verify whether the product information is correct, including the product ID, name and specifications.
[0016] S3. Order classification: Classify orders according to the type of goods. Different types of goods require different storage and distribution conditions. According to the type of goods and the delivery address, the order is assigned to the corresponding warehouse, and according to the delivery address, the order is assigned to the corresponding distribution area;
[0017] S4. Logistics task generation: based on order information and distribution results, the system generates picking tasks, which include product ID, name, quantity and storage location; after picking, the system generates packaging tasks, including packaging material type, packaging specifications and packaging requirements; after packaging, the system generates shipping tasks, which include shipping time, shipping method and logistics order number; based on the delivery address and delivery area, the system generates delivery tasks, which include delivery personnel information, delivery route and delivery time;
[0018] S5. Task assignment and notification: assign picking, packing, shipping and delivery tasks to corresponding warehouse staff and delivery personnel. Task assignment can be notified to relevant personnel through internal system messages, SMS and APP push. Real-time tracking of task execution to ensure that each link is completed on time. If an abnormal situation occurs during task execution, the system will trigger the corresponding exception handling process. Notify users of order processing status and logistics information in real time. Users can receive order and logistics information through e-commerce platforms, SMS, emails or APP push.
[0019] Preferably, the inventory management module comprises the following steps:
[0020] S1. Inventory data collection. When goods enter the warehouse, the product information is collected manually or by automated equipment, including the product ID, name, quantity, specification, batch and storage time. When the goods leave the warehouse, the outbound information is also collected manually or by automated equipment, including the product ID, quantity, outbound time and associated order number. Regular or irregular inventory counts are conducted, and inventory data is updated by scanning or manual counting to ensure that the actual inventory is consistent with the system records. The product barcode is read by a barcode scanner to obtain product information. The system verifies the collected inventory data, including data format verification and logic verification;
[0021] S2. Inventory information update. After the inventory data is collected, the system updates the inventory information in real time to ensure the timeliness and accuracy of the inventory data. The real-time update includes the quantity of goods, storage location and batch information. According to the inventory quantity and demand, the system divides the inventory status into normal inventory, low inventory, out-of-stock and excess inventory. According to the actual demand and inventory count results, the system adjusts the inventory, including increasing inventory, reducing inventory and transferring inventory;
[0022] S3. Inventory warning and replenishment. The system monitors the inventory quantity in real time according to the preset warning threshold. When the inventory quantity is lower than the warning threshold, the system automatically generates an inventory warning notification to notify relevant personnel to replenish the stock in time. The warning threshold can be dynamically adjusted according to historical sales data, seasonal factors and supplier delivery cycle;
[0023] S4. Inventory optimization and allocation. When the inventory quantities in different warehouses are unbalanced, the system generates an inventory allocation plan. The allocation plan includes the allocation product ID, name, quantity, transfer-out warehouse and transfer-in warehouse. Relevant personnel arrange transportation and warehousing operations according to the allocation plan.
[0024] Preferably, the delivery route optimization module comprises the following steps:
[0025] S1. Data collection and preprocessing. The delivery route optimization module needs to collect order information, warehouse information, delivery personnel information, traffic information and geographic information, clean and verify the collected data, remove duplicate data, erroneous data and abnormal data, and standardize the data to ensure consistent data format for subsequent calculation and analysis;
[0026] S2. Path optimization algorithm selection: Select a genetic algorithm to calculate the path optimization. Delivery path optimization usually needs to consider the shortest delivery distance, shortest delivery time, load balancing, traffic conditions and delivery priority. Use the selected algorithm to perform path optimization calculations to generate the optimal or approximately optimal delivery path, consider the real-time traffic conditions and delivery personnel status, and dynamically adjust the path.
[0027] S3. Path allocation and notification: allocate the optimized delivery path to the corresponding delivery personnel, taking into account the current location, load and delivery tools of the delivery personnel. The delivery path information is notified to the delivery personnel through their mobile terminals. The delivery path information includes the delivery address, order information, delivery sequence and estimated arrival time. The delivery personnel can view and confirm the delivery tasks on the mobile terminals according to the actual situation; monitor the delivery progress and location information of the delivery personnel in real time;
[0028] S4. Exception handling and feedback. If the delivery person encounters traffic congestion or other reasons that cause delivery delays, the system will recalculate the route and find a faster delivery plan. If the user modifies the order, the system will update the delivery route and notify the delivery person. If the delivery person encounters an emergency, the system will reallocate the delivery task and notify other delivery persons.
[0029] Preferably, the logistics information updating module comprises the following steps:
[0030] S1. Data collection and integration. The logistics information update module needs to integrate the order processing module, the delivery route optimization module, the delivery terminal, the warehousing system and the third-party logistics interface, and integrate the information from different data sources to ensure the integrity and consistency of the logistics information.
[0031] S2. Information processing and status update: Update the logistics status of the order based on the collected data. The order status includes pending shipment, shipped, in delivery, received, and abnormal. Real-time update of delivery status includes picked up, in delivery, delivered, and abnormal. Use third-party logistics services to update the transportation status including loaded, in transit, arrived at the transfer station, and arrived at the destination.
[0032] S3. Information notification and user interaction: users are notified via SMS notification, email notification, APP push and WeChat notification. Users can check the logistics status through e-commerce platforms, logistics query websites and customer service inquiries. Users can evaluate and provide feedback on logistics services, including evaluation, complaints and suggestions.
[0033] (III) Beneficial effects
[0034] The present invention provides an e-commerce logistics management system. It has the following beneficial effects:
[0035] 1. In the present invention, the order processing module, inventory management module, delivery route optimization module and logistics information update module all emphasize real-time data collection and updating to ensure the synchronization and consistency of information in each link. The logistics information update module tracks the location and status of the deliveryman in real time through GPS positioning and the deliveryman's terminal equipment to ensure that users can obtain accurate logistics information in a timely manner.
[0036] 2. In the present invention, the delivery path optimization module takes into account the current load situation of the delivery personnel when allocating delivery tasks, realizes load balancing, and avoids overloading of some delivery personnel. This load balancing mechanism improves the utilization rate of human resources and reduces delivery delays. The system dynamically adjusts the delivery path and resource allocation based on real-time data and intelligent algorithms.
[0037] 3. In the present invention, the system monitors the operating status of each module in real time, detects abnormal situations, and takes corresponding processing measures for different abnormal situations. The distribution path optimization module optimizes the distribution path through intelligent algorithms, reduces transportation distance and transportation time, and thus reduces transportation costs. The automation and intelligent design of each module reduces manual intervention and improves work efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION
[0039] 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.
[0040] Embodiment 1:
[0041] like Figure 1 As shown, an embodiment of the present invention provides an e-commerce logistics management system, including:
[0042] The order processing module is used to receive and confirm user orders and generate logistics tasks;
[0043] Inventory management module, used to monitor and manage inventory information in real time to ensure the accuracy of inventory data;
[0044] The delivery route optimization module is used to optimize the delivery route based on order information, warehouse location, and delivery personnel location;
[0045] Logistics information update module, used to update logistics information in real time, including order status and delivery progress;
[0046] The user interaction module is used to interact with users and provide logistics information query and feedback.
[0047] The order processing module includes the following steps:
[0048] S1. Order reception: users select products on the e-commerce platform and submit orders. Order information includes user information, product information and payment information. Order information is transmitted from the e-commerce platform to the order processing module through the API interface or message queue. The system performs a preliminary format check on the received order data to ensure data integrity and correctness.
[0049] S2. Order verification: the system verifies the user's identity information, including whether the user exists and whether the account status is normal. If the user information is incorrect or the account status is abnormal, the system will reject the order and notify the user. Confirm whether the user has completed the payment. The payment status is obtained in real time through the payment gateway and callback interface. The system queries the inventory management module to confirm whether there is sufficient inventory of the required goods. If the inventory is insufficient, the system will trigger an inventory warning and notify the user to choose to wait for replenishment or cancel the order. Verify whether the product information is correct, including the product ID, name and specifications.
[0050] S3. Order classification: Classify orders according to the type of goods. Different types of goods require different storage and distribution conditions. According to the type of goods and the delivery address, the order is assigned to the corresponding warehouse, and according to the delivery address, the order is assigned to the corresponding distribution area;
[0051] S4. Logistics task generation: based on order information and distribution results, the system generates picking tasks, which include product ID, name, quantity and storage location; after picking, the system generates packaging tasks, including packaging material type, packaging specifications and packaging requirements; after packaging, the system generates shipping tasks, which include shipping time, shipping method and logistics order number; based on the delivery address and delivery area, the system generates delivery tasks, which include delivery personnel information, delivery route and delivery time;
[0052] S5. Task assignment and notification: assign picking, packing, shipping and delivery tasks to corresponding warehouse staff and delivery personnel. Task assignment can be notified to relevant personnel through internal system messages, SMS and APP push. Real-time tracking of task execution to ensure that each link is completed on time. If an abnormal situation occurs during task execution, the system will trigger the corresponding exception handling process. Notify users of order processing status and logistics information in real time. Users can receive order and logistics information through e-commerce platforms, SMS, emails or APP push.
[0053] The inventory management module includes the following steps:
[0054] S1. Inventory data collection. When goods enter the warehouse, the product information is collected manually or by automated equipment, including the product ID, name, quantity, specification, batch and storage time. When the goods leave the warehouse, the outbound information is also collected manually or by automated equipment, including the product ID, quantity, outbound time and associated order number. Regular or irregular inventory counts are conducted, and inventory data is updated by scanning or manual counting to ensure that the actual inventory is consistent with the system records. The product barcode is read by a barcode scanner to obtain product information. The system verifies the collected inventory data, including data format verification and logic verification;
[0055] S2. Inventory information update. After the inventory data is collected, the system updates the inventory information in real time to ensure the timeliness and accuracy of the inventory data. The real-time update includes the quantity of goods, storage location and batch information. According to the inventory quantity and demand, the system divides the inventory status into normal inventory, low inventory, out-of-stock and excess inventory. According to the actual demand and inventory count results, the system adjusts the inventory, including increasing inventory, reducing inventory and transferring inventory;
[0056] S3. Inventory warning and replenishment. The system monitors the inventory quantity in real time according to the preset warning threshold. When the inventory quantity is lower than the warning threshold, the system automatically generates an inventory warning notification to notify relevant personnel to replenish the stock in time. The warning threshold can be dynamically adjusted according to historical sales data, seasonal factors and supplier delivery cycle;
[0057] S4. Inventory optimization and allocation. When the inventory quantities in different warehouses are unbalanced, the system generates an inventory allocation plan. The allocation plan includes the allocation product ID, name, quantity, transfer-out warehouse and transfer-in warehouse. Relevant personnel arrange transportation and warehousing operations according to the allocation plan.
[0058] The delivery route optimization module includes the following steps:
[0059] S1. Data collection and preprocessing. The delivery route optimization module needs to collect order information, warehouse information, delivery personnel information, traffic information and geographic information, clean and verify the collected data, remove duplicate data, erroneous data and abnormal data, and standardize the data to ensure consistent data format for subsequent calculation and analysis;
[0060] S2. Path optimization algorithm selection: Select a genetic algorithm to calculate the path optimization. Delivery path optimization usually needs to consider the shortest delivery distance, shortest delivery time, load balancing, traffic conditions and delivery priority. Use the selected algorithm to perform path optimization calculations to generate the optimal or approximately optimal delivery path, consider the real-time traffic conditions and delivery personnel status, and dynamically adjust the path.
[0061] S3. Path allocation and notification: allocate the optimized delivery path to the corresponding delivery personnel, taking into account the current location, load and delivery tools of the delivery personnel. The delivery path information is notified to the delivery personnel through their mobile terminals. The delivery path information includes the delivery address, order information, delivery sequence and estimated arrival time. The delivery personnel can view and confirm the delivery tasks on the mobile terminals according to the actual situation; monitor the delivery progress and location information of the delivery personnel in real time;
[0062] S4. Exception handling and feedback. If the delivery person encounters traffic congestion or other reasons that cause delivery delays, the system will recalculate the route and find a faster delivery plan. If the user modifies the order, the system will update the delivery route and notify the delivery person. If the delivery person encounters an emergency, the system will reallocate the delivery task and notify other delivery persons.
[0063] The logistics information update module includes the following steps:
[0064] S1. Data collection and integration. The logistics information update module needs to integrate the order processing module, the delivery route optimization module, the delivery terminal, the warehousing system and the third-party logistics interface, and integrate the information from different data sources to ensure the integrity and consistency of the logistics information.
[0065] S2. Information processing and status update: Update the logistics status of the order based on the collected data. The order status includes pending shipment, shipped, in delivery, received, and abnormal. Real-time update of delivery status includes picked up, in delivery, delivered, and abnormal. Use third-party logistics services to update the transportation status including loaded, in transit, arrived at the transfer station, and arrived at the destination.
[0066] S3. Information notification and user interaction: users are notified via SMS notification, email notification, APP push and WeChat notification. Users can check the logistics status through e-commerce platforms, logistics query websites and customer service inquiries. Users can evaluate and provide feedback on logistics services, including evaluation, complaints and suggestions.
[0067] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An e-commerce logistics management system, characterized by: include: The order processing module is used to receive and confirm user orders and generate logistics tasks; Inventory management module, used to monitor and manage inventory information in real time to ensure the accuracy of inventory data; The delivery route optimization module is used to optimize the delivery route based on order information, warehouse location, and delivery personnel location; Logistics information update module, used to update logistics information in real time, including order status and delivery progress; The user interaction module is used to interact with users and provide logistics information query and feedback.
2. An e-commerce logistics management system according to claim 1, characterized in that: The order processing module includes the following steps: S1. Order reception: users select products on the e-commerce platform and submit orders. Order information includes user information, product information and payment information. Order information is transmitted from the e-commerce platform to the order processing module through the API interface or message queue. The system performs a preliminary format check on the received order data to ensure data integrity and correctness. S2. Order verification: the system verifies the user's identity information, including whether the user exists and whether the account status is normal. If the user information is incorrect or the account status is abnormal, the system will reject the order and notify the user. Confirm whether the user has completed the payment. The payment status is obtained in real time through the payment gateway and callback interface. The system queries the inventory management module to confirm whether there is sufficient inventory of the required goods. If the inventory is insufficient, the system will trigger an inventory warning and notify the user to choose to wait for replenishment or cancel the order. Verify whether the product information is correct, including the product ID, name and specifications. S3. Order classification: Classify orders according to the type of goods. Different types of goods require different storage and distribution conditions. According to the type of goods and the delivery address, the order is assigned to the corresponding warehouse, and according to the delivery address, the order is assigned to the corresponding distribution area; S4. Logistics task generation: based on order information and distribution results, the system generates picking tasks, which include product ID, name, quantity and storage location; after picking, the system generates packaging tasks, including packaging material type, packaging specifications and packaging requirements; after packaging, the system generates shipping tasks, which include shipping time, shipping method and logistics order number; based on the delivery address and delivery area, the system generates delivery tasks, which include delivery personnel information, delivery route and delivery time; S5. Task assignment and notification: assign picking, packing, shipping and delivery tasks to corresponding warehouse staff and delivery personnel. Task assignment can be notified to relevant personnel through internal system messages, SMS and APP push. Real-time tracking of task execution to ensure that each link is completed on time. If an abnormal situation occurs during task execution, the system will trigger the corresponding exception handling process. Notify users of order processing status and logistics information in real time. Users can receive order and logistics information through e-commerce platforms, SMS, emails or APP push.
3. An e-commerce logistics management system according to claim 1, characterized in that: The inventory management module includes the following steps: S1. Inventory data collection. When goods enter the warehouse, the product information is collected manually or by automated equipment, including the product ID, name, quantity, specification, batch and storage time. When the goods leave the warehouse, the outbound information is also collected manually or by automated equipment, including the product ID, quantity, outbound time and associated order number. Regular or irregular inventory counts are conducted, and inventory data is updated by scanning or manual counting to ensure that the actual inventory is consistent with the system records. The product barcode is read by a barcode scanner to obtain product information. The system verifies the collected inventory data, including data format verification and logic verification; S2. Inventory information update. After the inventory data is collected, the system updates the inventory information in real time to ensure the timeliness and accuracy of the inventory data. The real-time update includes the quantity of goods, storage location and batch information. According to the inventory quantity and demand, the system divides the inventory status into normal inventory, low inventory, out-of-stock and excess inventory. According to the actual demand and inventory count results, the system adjusts the inventory, including increasing inventory, reducing inventory and transferring inventory; S3. Inventory warning and replenishment. The system monitors the inventory quantity in real time according to the preset warning threshold. When the inventory quantity is lower than the warning threshold, the system automatically generates an inventory warning notification to notify relevant personnel to replenish the stock in time. The warning threshold can be dynamically adjusted according to historical sales data, seasonal factors and supplier delivery cycle; S4. Inventory optimization and allocation. When the inventory quantities in different warehouses are unbalanced, the system generates an inventory allocation plan. The allocation plan includes the allocation product ID, name, quantity, transfer-out warehouse and transfer-in warehouse. Relevant personnel arrange transportation and warehousing operations according to the allocation plan.
4. The e-commerce logistics management system according to claim 1, characterized in that: The delivery route optimization module includes the following steps: S1. Data collection and preprocessing. The delivery route optimization module needs to collect order information, warehouse information, delivery personnel information, traffic information and geographic information, clean and verify the collected data, remove duplicate data, erroneous data and abnormal data, and standardize the data to ensure consistent data format for subsequent calculation and analysis; S2. Path optimization algorithm selection: Select a genetic algorithm to calculate the path optimization. Delivery path optimization usually needs to consider the shortest delivery distance, shortest delivery time, load balancing, traffic conditions and delivery priority. Use the selected algorithm to perform path optimization calculations to generate the optimal or approximately optimal delivery path, consider the real-time traffic conditions and delivery personnel status, and dynamically adjust the path. S3. Path allocation and notification: allocate the optimized delivery path to the corresponding delivery personnel, taking into account the current location, load and delivery tools of the delivery personnel. The delivery path information is notified to the delivery personnel through their mobile terminals. The delivery path information includes the delivery address, order information, delivery sequence and estimated arrival time. The delivery personnel can view and confirm the delivery tasks on the mobile terminals according to the actual situation; monitor the delivery progress and location information of the delivery personnel in real time; S4. Exception handling and feedback. If the delivery person encounters traffic congestion or other reasons that cause delivery delays, the system will recalculate the route and find a faster delivery plan. If the user modifies the order, the system will update the delivery route and notify the delivery person. If the delivery person encounters an emergency, the system will reallocate the delivery task and notify other delivery persons.
5. The e-commerce logistics management system according to claim 1, characterized in that: The logistics information update module includes the following steps: S1. Data collection and integration. The logistics information update module needs to integrate the order processing module, the delivery route optimization module, the delivery terminal, the warehousing system and the third-party logistics interface, and integrate the information from different data sources to ensure the integrity and consistency of the logistics information. S2. Information processing and status update: Update the logistics status of the order based on the collected data. The order status includes pending shipment, shipped, in delivery, received, and abnormal. Real-time update of delivery status includes picked up, in delivery, delivered, and abnormal. Use third-party logistics services to update the transportation status including loaded, in transit, arrived at the transfer station, and arrived at the destination. S3. Information notification and user interaction: users are notified via SMS notification, email notification, APP push and WeChat notification. Users can check the logistics status through e-commerce platforms, logistics query websites and customer service inquiries. Users can evaluate and provide feedback on logistics services, including evaluation, complaints and suggestions.
Citation Information
Cited By
Internet fresh agricultural product distribution management system
CN121119344A