Enterprise supply chain service management system

Abstract

The invention relates to the technical field of enterprise supply chain management, and discloses an enterprise supply chain service management system, which comprises a purchase management module, a storage and inventory management module, a logistics distribution management module, a supply and demand cooperation module and a data analogy and decision module, and is characterized by specifically comprising a data acquisition layer, a core service layer, an application layer and an interaction layer, the layers are in communication connection in sequence. According to the enterprise supply chain service management system, through full-link data acquisition and standardized processing, real-time sharing of data in links of purchasing, warehousing, logistics, selling and the like is realized, and the problems of data dispersion and synchronous lag are solved; through intelligent purchasing, automatic storage and optimization of logistics scheduling, manual operation is reduced, the order processing period is shortened, and the purchasing cost and the inventory overstock risk are reduced.

Description

Technical Field

[0001] This invention relates to the field of enterprise supply chain management technology, specifically to an enterprise supply chain service management system. Background Technology

[0002] The following problems are commonly found in current enterprise supply chain management: Severe information silos: Data from procurement, warehousing, logistics, and sales are scattered across different systems or manual ledgers, leading to data synchronization delays and decision-making errors; Low level of process automation: Order processing, inventory counting, and logistics scheduling rely on manual operations, resulting in low efficiency and a high risk of errors; Insufficient supply and demand coordination: Untimely communication between upstream and downstream enterprises (suppliers and customers) leads to problems such as material shortages, inventory backlogs, and logistics delays; Weak risk warning capabilities: Inability to identify risks such as raw material price increases, abnormal supplier performance, and logistics disruptions in real time, and a lack of proactive response mechanisms.

[0003] Existing supply chain management systems often focus on a single link (such as managing only procurement or warehousing), lacking end-to-end integration capabilities and exhibiting poor adaptability, making it difficult to meet the personalized needs of enterprises of different sizes. Therefore, there is an urgent need for a supply chain service management system that covers the entire supply chain, is intelligent, and highly collaborative. Summary of the Invention

[0004] (a) Technical problems to be solved To address the shortcomings of existing technologies, this invention provides an enterprise supply chain service management system that enables data interoperability, process automation, and intelligent decision-making across all stages of the supply chain, solving the problems of information fragmentation, low efficiency, insufficient collaboration, and poor risk controllability in existing technologies.

[0005] (II) Technical Solution To achieve the above objectives, the present invention provides the following technical solution: an enterprise supply chain service management system, including a procurement management module, a warehousing and inventory management module, a logistics and distribution management module, a supply and demand coordination module, and a data analytics and decision-making module, specifically comprising a data acquisition layer, a core service layer, an application layer, and an interaction layer, with each layer communicating with each other in sequence; S1. Establish supplier information files, verify qualifications, implement hierarchical management, and centrally manage cooperative resources; S2. Real-time synchronization of inventory quantity, location, and batch information of raw materials, semi-finished products, and finished products, supporting barcode / RFID scanning for traceability; S3 intelligently plans warehouse location allocation and inbound / outbound processes, automatically generates inventory reports and connects with production plans, enabling materials to be issued on demand and surplus materials to be recycled, thus improving inventory turnover. S4. Integrate trunk transportation and same-city delivery logistics resources, and optimize delivery route planning based on timeliness requirements and cost budget; S5. Automatically generate logistics documents and connect with the finance module to complete freight settlement, simplifying the reconciliation process; S6 provides a visual representation of key indicators such as procurement costs, inventory turnover, logistics efficiency, and supplier fulfillment rate. S7. Custom report generation provides data support for enterprise strategic adjustments, supplier optimization, and cost control.

[0006] Preferably, the data acquisition layer is used to collect data across the entire supply chain, including: Internal data acquisition module: Connects to the enterprise's ERP system, production management system, and financial system to collect procurement requirements, production plans, inventory data, and financial settlement information; External data acquisition module: Connects to supplier systems, customer systems, and logistics service provider systems via API interfaces to collect supplier fulfillment data, customer order data, and logistics trajectory data; Environmental data acquisition module: Collects market price data, policy and regulation data, logistics and road condition data, and weather data in real time to provide a basis for risk warning; Data standardization module: Cleans, converts, and deduplicates the collected heterogeneous data to generate standardized data in a unified format.

[0007] Preferably, the core service layer is the system's core processing unit, including the following functional modules: Procurement Collaboration Service Module: Supplier Management Submodule: Establishes supplier information files, including qualification review, graded assessment, performance record statistics, and supports supplier blacklist and whitelist management; The intelligent procurement sub-module automatically generates procurement suggestions and purchase orders based on inventory data, production plans, and market demand forecasts, and supports online order approval, electronic contract management, and delivery acceptance reminders. Inventory management service module: Real-time inventory submodule: uses barcode / RFID technology to synchronize the inventory quantity, storage location, batch, and expiration date information of raw materials, semi-finished products, and finished products in real time; The intelligent warehousing sub-module automatically plans warehouse location allocation and inbound / outbound processes, generates inventory tasks and inventory warnings (material shortage warning, backlog warning, expiration date warning), and supports surplus material recycling and waste management. Logistics dispatch service module: Logistics Resource Management Submodule: Integrates trunk transportation, same-city delivery, and cold chain logistics resources, and supports price comparison, qualification review, and service rating of logistics providers; The intelligent dispatching submodule automatically plans the optimal delivery route by combining order timeliness requirements, transportation costs, and road condition information, tracks logistics trajectories in real time, and supports the reporting and handling of abnormal situations (delays, damage). Supply and demand coordination service module: Information sharing submodule: Share demand forecasts and production schedules with suppliers, synchronize order fulfillment status and logistics information with customers, and support online communication and file transfer; Anomaly Collaboration Submodule: Automatically triggers collaborative notifications and generates solution suggestions for anomalies such as order changes, material shortages, and logistics delays; Data Decision Service Module: Indicator Analysis Submodule: Visualizes key indicators such as procurement costs, inventory turnover rate, logistics timeliness, supplier fulfillment rate, and customer satisfaction. Risk warning submodule: Based on algorithm model analysis, it analyzes risks such as raw material price increases, abnormal supplier performance, and logistics disruptions, and generates warning information and response strategies; Predictive Analytics Submodule: Through big data analysis, this module predicts market demand and raw material price trends, providing data support for procurement plans and inventory adjustments.

[0008] Preferably, the application layer includes functional entry points for different user roles: Administrator side: System configuration, permission management, data maintenance, and report export functions; Procurement side: Procurement requirement submission, order management, and supplier integration functions; Warehouse side: Inbound and outbound operations, inventory counting, and warehouse location management functions; Logistics side: Logistics order creation, tracking, and payment settlement functions; Supplier side: Order receipt, shipment confirmation, and reconciliation / settlement functions; Client-side features include order inquiry, logistics tracking, and after-sales feedback.

[0009] Preferably, the interaction layer provides diverse interaction methods: Web version: Supports full functionality on desktop computers; Mobile App / Mini Program: Supports mobile office work, including QR code scanning for inventory entry, order approval, and logistics tracking; API Interface: Supports integration with third-party systems.

[0010] Compared with the prior art, the present invention provides an enterprise supply chain service management system, which has the following beneficial effects: 1. This enterprise supply chain service management system achieves real-time data sharing across procurement, warehousing, logistics, and sales through end-to-end data collection and standardized processing, resolving issues of data fragmentation and synchronization lag. Through intelligent procurement, automated warehousing, and optimized logistics scheduling, it reduces manual operations, shortens order processing cycles, and lowers procurement costs and inventory backlog risks. Information sharing and anomaly collaboration modules streamline communication channels between upstream and downstream enterprises, reducing disputes caused by information asymmetry and improving contract fulfillment rates. Environmental data collection and risk warning modules proactively identify risks in the market, suppliers, and logistics, providing enterprises with proactive response strategies. The system adopts a modular design, allowing for flexible selection of functional modules based on enterprise size and industry characteristics, adapting to the personalized needs of different enterprises, and expanding functionality as business grows. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the implementation process of the present invention. Detailed Implementation

[0012] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0013] Please see Figure 1 An enterprise supply chain service management system includes a procurement management module, a warehousing and inventory management module, a logistics and distribution management module, a supply and demand collaboration module, and a data analytics and decision-making module. Specifically, it consists of a data acquisition layer, a core service layer, an application layer, and an interaction layer, with each layer communicating with each other in sequence. S1. Establish supplier information files, verify qualifications, implement hierarchical management, and centrally manage cooperative resources; S2. Real-time synchronization of inventory quantity, location, and batch information of raw materials, semi-finished products, and finished products, supporting barcode / RFID scanning for traceability; S3 intelligently plans warehouse location allocation and inbound / outbound processes, automatically generates inventory reports and connects with production plans, enabling materials to be issued on demand and surplus materials to be recycled, thus improving inventory turnover. S4. Integrate trunk transportation and same-city delivery logistics resources, and optimize delivery route planning based on timeliness requirements and cost budget; S5. Automatically generate logistics documents and connect with the finance module to complete freight settlement, simplifying the reconciliation process; S6 provides a visual representation of key indicators such as procurement costs, inventory turnover, logistics efficiency, and supplier fulfillment rate. S7. Custom report generation provides data support for enterprise strategic adjustments, supplier optimization, and cost control.

[0014] Furthermore, the data acquisition layer is used to collect data across the entire supply chain, including: Internal data acquisition module: Connects to the enterprise's ERP system, production management system, and financial system to collect procurement requirements, production plans, inventory data, and financial settlement information; External data acquisition module: Connects to supplier systems, customer systems, and logistics service provider systems via API interfaces to collect supplier fulfillment data, customer order data, and logistics trajectory data; Environmental data acquisition module: Collects market price data, policy and regulation data, logistics and road condition data, and weather data in real time to provide a basis for risk warning; Data standardization module: Cleans, converts, and deduplicates the collected heterogeneous data to generate standardized data in a unified format.

[0015] Furthermore, the core service layer is the core processing unit of the system, including the following functional modules: Procurement Collaboration Service Module: Supplier Management Submodule: Establishes supplier information files, including qualification review, graded assessment, performance record statistics, and supports supplier blacklist and whitelist management; The intelligent procurement sub-module automatically generates procurement suggestions and purchase orders based on inventory data, production plans, and market demand forecasts, and supports online order approval, electronic contract management, and delivery acceptance reminders. Inventory management service module: Real-time inventory submodule: uses barcode / RFID technology to synchronize the inventory quantity, storage location, batch, and expiration date information of raw materials, semi-finished products, and finished products in real time; The intelligent warehousing sub-module automatically plans warehouse location allocation and inbound / outbound processes, generates inventory tasks and inventory warnings (material shortage warning, backlog warning, expiration date warning), and supports surplus material recycling and waste management. Logistics dispatch service module: Logistics Resource Management Submodule: Integrates trunk transportation, same-city delivery, and cold chain logistics resources, and supports price comparison, qualification review, and service rating of logistics providers; The intelligent dispatching submodule automatically plans the optimal delivery route by combining order timeliness requirements, transportation costs, and road condition information, tracks logistics trajectories in real time, and supports the reporting and handling of abnormal situations (delays, damage). Supply and demand coordination service module: Information sharing submodule: Share demand forecasts and production schedules with suppliers, synchronize order fulfillment status and logistics information with customers, and support online communication and file transfer; Anomaly Collaboration Submodule: Automatically triggers collaborative notifications and generates solution suggestions for anomalies such as order changes, material shortages, and logistics delays; Data Decision Service Module: Indicator Analysis Submodule: Visualizes key indicators such as procurement costs, inventory turnover rate, logistics timeliness, supplier fulfillment rate, and customer satisfaction. Risk warning submodule: Based on algorithm model analysis, it analyzes risks such as raw material price increases, abnormal supplier performance, and logistics disruptions, and generates warning information and response strategies; Predictive Analytics Submodule: Through big data analysis, this module predicts market demand and raw material price trends, providing data support for procurement plans and inventory adjustments.

[0016] Furthermore, the application layer includes functional entry points for different user roles: Administrator side: System configuration, permission management, data maintenance, and report export functions; Procurement side: Procurement requirement submission, order management, and supplier integration functions; Warehouse side: Inbound and outbound operations, inventory counting, and warehouse location management functions; Logistics side: Logistics order creation, tracking, and payment settlement functions; Supplier side: Order receipt, shipment confirmation, and reconciliation / settlement functions; Client-side features include order inquiry, logistics tracking, and after-sales feedback.

[0017] Furthermore, the interaction layer provides diverse interaction methods: Web version: Supports full functionality on desktop computers; Mobile App / Mini Program: Supports mobile office work, including QR code scanning for inventory entry, order approval, and logistics tracking; API Interface: Supports integration with third-party systems.

[0018] Example 1: Application scenarios for small and medium-sized manufacturing enterprises Data Acquisition Layer: Connects to the company's existing simplified ERP system and the systems of 3 core suppliers to collect production plans, inventory data, and supplier delivery data. It also obtains raw material market prices through the environmental data acquisition module. Core service layer: Enable basic modules such as procurement collaboration, inventory control, and logistics scheduling, disable advanced functions such as predictive analysis, and configure inventory warning thresholds (e.g., triggering a replenishment reminder when raw material inventory is less than 3 days' worth of usage). Application layer: Provides open administrator, procurement, warehousing, and supplier functions; client-side functions enable order inquiry through integration with the company's official website. Interaction method: Primarily web-based, with warehouse staff using a mobile app to scan barcodes for data entry.

[0019] Example 2: Application scenarios for large retail enterprises Data Acquisition Layer: Connects to enterprise ERP systems, store sales systems, systems of more than 10 suppliers, and systems of 5 logistics service providers to collect sales data, inventory data, supplier fulfillment data, and logistics trajectory data, and synchronize market price and weather data; Core service layer: Enable full-featured modules, configure demand forecasting algorithms (predict sales based on historical sales data and factors such as weather and holidays), and set supplier grading standards (e.g., categorize suppliers into three levels: A, B, and C, based on fulfillment rates). Application layer: Open all user-end functions, supporting stores to query inventory and initiate replenishment requests; Interaction methods: Web page, mobile app, and mini-program can be used in parallel, and order synchronization can be achieved by connecting to e-commerce platforms (such as Taobao and JD.com) through API interfaces. Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An enterprise supply chain service management system, comprising a procurement management module, a warehousing and inventory management module, a logistics distribution management module, a supply and demand collaboration module, a data analytics and decision module, characterized in that: Specifically, it consists of a data acquisition layer, a core service layer, an application layer, and an interaction layer, with each layer communicating with each other in sequence; S1. Establish supplier information files, verify qualifications, implement hierarchical management, and centrally manage cooperative resources; S2. Real-time synchronization of inventory quantity, location, and batch information of raw materials, semi-finished products, and finished products, supporting barcode / RFID scanning for traceability; S3 intelligently plans warehouse location allocation and inbound / outbound processes, automatically generates inventory reports and connects with production plans, enabling materials to be issued on demand and surplus materials to be recycled, thus improving inventory turnover. S4. Integrate trunk transportation and same-city delivery logistics resources, and optimize delivery route planning based on timeliness requirements and cost budget; S5. Automatically generate logistics documents and connect with the finance module to complete freight settlement, simplifying the reconciliation process; S6 provides a visual representation of key indicators such as procurement costs, inventory turnover, logistics efficiency, and supplier fulfillment rate. S7. Custom report generation provides data support for enterprise strategic adjustments, supplier optimization, and cost control.

2. The enterprise supply chain service management system of claim 1, wherein: The data acquisition layer is used to collect data from the entire supply chain, including: Internal data acquisition module: Connects to the enterprise's ERP system, production management system, and financial system to collect procurement requirements, production plans, inventory data, and financial settlement information; External data acquisition module: Connects to supplier systems, customer systems, and logistics service provider systems via API interfaces to collect supplier fulfillment data, customer order data, and logistics trajectory data; Environmental data acquisition module: Collects market price data, policy and regulation data, logistics and road condition data, and weather data in real time to provide a basis for risk warning; Data standardization module: Cleans, converts, and deduplicates the collected heterogeneous data to generate standardized data in a unified format.

3. The enterprise supply chain service management system of claim 1, wherein: The core service layer is the core processing unit of the system, including the following functional modules: Procurement Collaboration Service Module: Supplier Management Submodule: Establishes supplier information files, including qualification review, graded assessment, performance record statistics, and supports supplier blacklist and whitelist management; The intelligent procurement sub-module automatically generates procurement suggestions and purchase orders based on inventory data, production plans, and market demand forecasts, and supports online order approval, electronic contract management, and delivery acceptance reminders. Inventory management service module: Real-time inventory submodule: uses barcode / RFID technology to synchronize the inventory quantity, storage location, batch, and expiration date information of raw materials, semi-finished products, and finished products in real time; The intelligent warehousing sub-module automatically plans warehouse location allocation and inbound / outbound processes, generates inventory tasks and inventory warnings (material shortage warning, backlog warning, expiration date warning), and supports surplus material recycling and waste management. Logistics dispatch service module: Logistics Resource Management Submodule: Integrates trunk transportation, same-city delivery, and cold chain logistics resources, and supports price comparison, qualification review, and service rating of logistics providers; The intelligent dispatching submodule automatically plans the optimal delivery route by combining order timeliness requirements, transportation costs, and road condition information, tracks logistics trajectories in real time, and supports the reporting and handling of abnormal situations (delays, damage). Supply and demand coordination service module: Information sharing submodule: Shares demand forecasts and production schedules with suppliers, synchronizes order fulfillment status and logistics information with customers, and supports online communication and file transfer; Anomaly Collaboration Submodule: Automatically triggers collaborative notifications and generates solution suggestions for anomalies such as order changes, material shortages, and logistics delays; Data Decision Service Module: Indicator Analysis Submodule: Visualizes key indicators such as procurement costs, inventory turnover rate, logistics timeliness, supplier fulfillment rate, and customer satisfaction. Risk warning submodule: Based on algorithm model analysis, it analyzes risks such as raw material price increases, abnormal supplier performance, and logistics disruptions, and generates warning information and response strategies; Predictive Analytics Submodule: Through big data analysis, this module predicts market demand and raw material price trends, providing data support for procurement plans and inventory adjustments.

4. The enterprise supply chain service management system of claim 1, wherein: The application layer includes functional entry points for different user roles: Administrator side: System configuration, permission management, data maintenance, and report export functions; Procurement side: Procurement requirement submission, order management, and supplier integration functions; Warehouse side: Inbound and outbound operations, inventory counting, and warehouse location management functions; Logistics side: Logistics order creation, tracking, and payment settlement functions; Supplier side: Order receipt, shipment confirmation, and reconciliation / settlement functions; Client-side features include order inquiry, logistics tracking, and after-sales feedback.

5. The enterprise supply chain service management system of claim 1, wherein: The interaction layer provides a variety of interaction methods: Web version: Supports full functionality on desktop computers; Mobile App / Mini Program: Supports mobile office work, including QR code scanning for inventory entry, order approval, and logistics tracking; API Interface: Supports integration with third-party systems.

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