An all-link logistics intelligent collaborative management system
The end-to-end intelligent collaborative logistics management system solves the problems of poor logistics information flow and transportation environment adaptation, realizes real-time information sharing and two-way feedback, improves the efficiency and accuracy of logistics management, optimizes transportation methods, and reduces costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU JINGHAI SHIPPING CO
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-24
AI Technical Summary
Existing logistics management systems suffer from poor information flow and untimely updates on cargo status during cross-regional transportation. This prevents managers from monitoring cargo dynamics in real time and lacks a two-way information feedback mechanism, resulting in poor logistics connections, low overall transportation efficiency, inability to meet the different environmental requirements of sea and land transportation, complex operations, and difficulties in defining responsibilities.
It provides a full-chain intelligent collaborative management system for logistics, including a mobile user terminal, a back-end management terminal, and an intelligent data processing center. It supports adaptation to multiple transportation environments, enables real-time information sharing and two-way feedback, and achieves accurate identification and real-time updates of goods at each node through a node identification module, a cargo damage collection module, and a status reporting module. Combined with QR code scanning and geolocation, it generates multi-dimensional analysis reports to optimize transportation methods.
It enables real-time information sharing between various logistics nodes, supports seamless switching between sea and land transportation environments, improves logistics connection efficiency, accurately records the occurrence of cargo damage, facilitates liability determination, reduces logistics costs, and improves transportation efficiency and operational convenience for management personnel.
Smart Images
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Abstract
Description
Technical Field
[0001] This invention relates to the field of logistics information management technology, and in particular to a full-chain intelligent collaborative management system for logistics. Background Technology
[0002] In modern logistics and transportation, especially in cross-regional logistics involving bulk commodities, goods need to go through multiple transportation nodes, including warehouse unloading, warehousing, road transport, port unloading, sea freight, destination port road transport, transshipment, and warehousing. With existing technology, information flow between these logistics nodes is not smooth, and the status of goods is not updated in a timely manner, making it impossible for managers to monitor the real-time dynamics of goods.
[0003] Traditional logistics management relies primarily on manual telephone communication and paper-based document transfer, which suffers from low information transmission efficiency, high error rates, and difficulties in traceability. When goods are damaged during transportation, it is impossible to accurately determine the specific point at which the damage occurred, leading to unclear liability determination and cumbersome insurance reporting procedures.
[0004] Meanwhile, existing logistics management systems often only support a single mode of transportation and cannot meet the different environmental requirements of sea and land transportation. Operators need to switch between different systems in different transportation environments, which is complex and reduces work efficiency.
[0005] In addition, the existing system lacks a two-way information feedback mechanism, and cannot promptly notify operators in subsequent stages after the goods arrive at the node, resulting in poor logistics connections and low overall transportation efficiency.
[0006] Therefore, there is an urgent need in this field for an intelligent collaborative management system that can achieve real-time sharing of information across the entire logistics chain, support adaptation to multiple transportation environments, and has a two-way information feedback mechanism. Summary of the Invention
[0007] To achieve the above objectives, the present invention provides the following technical solution: This invention provides a full-chain intelligent collaborative management system for logistics, comprising: The mobile user terminal is configured to allow operators at each logistics node to upload cargo damage information and arrival status. The mobile user terminal includes a node identification module, a cargo damage collection module, a status reporting module, and an upload module. The back-end management terminal is configured to allow administrators to view and analyze all logistics data. The back-end management terminal includes a data monitoring module, an analysis report module, and an optimization suggestion module. The intelligent data processing center is configured to receive logistics information uploaded by the mobile user terminal, and to process, store, and distribute the information. The system is configured to cover eight logistics nodes: warehouse unloading, warehousing, road transport, terminal unloading, sea freight, destination port road transport, transshipment, and warehousing, and is configured to support adaptation to both maritime and land transport environments. The mobile user terminal is configured to display only the logistics information reported by the operator, while the back-end management terminal is configured to display all logistics information reported by all operators. When an operator submits logistics information through the mobile user terminal, the intelligent data processing center associates the information with the logistics node selected by the operator and records the submission timestamp and geographical location information. The intelligent data processing center is configured to share logistics information in real time among eight logistics nodes, and to provide functions such as logistics node query, transportation mode analysis and insurance reporting processing according to query instructions from the back-end management terminal. The system is configured to implement a two-way information feedback mechanism: operators report the arrival status and damage information, and the system pushes logistics node change notifications to relevant operators in real time.
[0008] As a preferred embodiment of the present invention, the node identification module is configured to support two node identification methods: Method 1: Identify the current logistics node of the goods through manual selection. The operator selects the current node from eight logistics node options. Method 2: Automatically identify cargo information and current location by scanning the QR code on the cargo label.
[0009] As a preferred embodiment of the present invention, the cargo damage acquisition module is configured to require the operator to acquire at least three multi-angle photos of the cargo damage. The intelligent data processing center is configured to embed node identifiers, location information, timestamps, and operator identity watermarks into the metadata of damaged cargo photos; The upload module is configured to compress the resolution of the damaged cargo photos to 1080P or lower before uploading them to the intelligent data processing center. The damaged cargo photos are in JPEG or PNG format. When the network connection is interrupted, the cargo damage information will be cached in the local storage area; When the network connection is restored, the cached cargo damage information will be automatically uploaded to the intelligent data processing center.
[0010] As a preferred embodiment of the present invention, the status reporting module is configured to support operators to report the arrival status of goods with one click. After the operator confirms the arrival of the goods at the current node through the mobile user terminal, the system automatically records the arrival timestamp of the node and pushes the arrival notification to the relevant operators at subsequent nodes.
[0011] As a preferred embodiment of the present invention, the data monitoring module is configured to provide a real-time monitoring interface; The real-time monitoring interface is configured to display the arrival status, damage statistics, and abnormal situations of eight logistics nodes. The data monitoring module is also configured to support multi-dimensional data filtering, including querying by reporting date, reporting location, steel coil number, reporting user, supplier name, category, and production base.
[0012] As a preferred technical solution of the present invention, the analysis report module is configured to provide multi-dimensional data reports, including cargo damage node distribution analysis, cargo damage type statistics, transportation mode comparison analysis, and cost-benefit analysis. The analysis report module is also configured to support filtering and exporting logistics data by at least one dimension, including time range, node type, cargo type, and operator.
[0013] As a preferred embodiment of the present invention, the intelligent data processing center is configured as follows: When cargo damage information is confirmed, an insurance claim is generated, which includes cargo damage photos, cargo information, a node traceability report, and a liability analysis report. The insurance claim materials are synchronized to the insurance company's system through a standardized interface; Receive claims progress information returned by the insurance company's system and display it to the back-end management terminal.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention covers the entire chain and adapts to multiple environments. The system covers eight logistics nodes: warehouse unloading, warehousing, road transport, dock unloading, sea freight, destination port road transport, transshipment, and warehousing. It also supports seamless switching between sea and land transport environments, adapting to the needs of complex and diverse transportation scenarios.
[0015] 2: This invention enables real-time reporting of cargo arrival status and damage information through mobile user terminals. At the same time, the system automatically pushes notifications of changes in logistics nodes, achieving efficient collaboration among operators at each stage and improving logistics connection efficiency.
[0016] 3. This invention combines QR code scanning and geolocation technology to achieve accurate identification and tracking of goods at each node, accurately record the specific node and time of cargo damage, and facilitate liability determination and subsequent insurance reporting.
[0017] 4. This invention provides managers with key information such as the distribution of cargo damage nodes and comparison of transportation methods through multi-dimensional data analysis reports, helping enterprises to identify logistics bottlenecks, optimize transportation methods, and reduce logistics costs. Attached Figure Description
[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the overall structure of the present invention; Figure 2 This is a flowchart of the arrival reporting process of the present invention; Figure 3 This is a flowchart of the cargo damage reporting process of the present invention; Figure 4 This is a schematic diagram of some ports of the background management terminal of the present invention; Figure 5 This is a schematic diagram of some ports on the mobile user terminal of the present invention; Detailed Implementation
[0019] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention. Example 1
[0020] like Figure 1-5 As shown, the present invention provides an intelligent collaborative management system for the entire logistics chain. The system mainly consists of three parts: a mobile user terminal, a back-end management terminal, and an intelligent data processing center.
[0021] The mobile user terminal is installed on the operator's smartphone, or it can be a WeChat mini-program, supporting Android and iOS platforms, and mainly includes the following modules: Node identification module: Provides two node identification methods. Method 1 is manual selection, where operators select the current node from eight preset logistics nodes (warehouse unloading, warehousing, road transport, dock unloading, sea freight, destination port road transport, transshipment, and warehousing); Method 2 is barcode identification, which automatically obtains detailed cargo information such as steel coil number, product information, contract number, net weight, and specifications by scanning the QR code on the cargo label, and the system automatically recommends the current node.
[0022] Cargo damage collection module: When operators discover cargo damage, they can use this module to take at least three photos of the cargo damage from different angles (overall view, local details, and damaged edges), and embed node markers, location information, and timestamp watermarks into the photos.
[0023] Status reporting module: After the goods arrive at the node, the operator can report the arrival status with one click. The system automatically records the arrival timestamp and obtains the geographical location through GPS, and pushes the arrival notification to the relevant operators at subsequent nodes.
[0024] Upload module: Responsible for uploading logistics information to the intelligent data processing center, supporting local caching and automatic retransmission in case of network interruption. The system intelligently adjusts the upload strategy based on network conditions, prioritizing the upload of high-resolution photos under WiFi conditions and uploading compressed photos under mobile network conditions.
[0025] The backend management terminal is installed on the administrator's computer and is developed based on web technology. It mainly includes: Data monitoring module: Provides a real-time monitoring interface that displays the arrival status, damage statistics, and anomalies of eight logistics nodes. It supports multi-dimensional filtering and querying by reporting date, location, steel coil number, user, supplier, category, production base, and other dimensions.
[0026] Analysis Report Module: Generates multi-dimensional reports such as cargo damage node distribution analysis, cargo damage type statistics, and transportation mode comparison analysis, and supports filtering and exporting by time range, node type, cargo type and other dimensions.
[0027] Optimization suggestion module: Based on data analysis results, it provides managers with suggestions on optimizing transportation methods and preventing cargo damage, including functions such as KPI assessment and risk warning.
[0028] The intelligent data processing center, as the core of the system, adopts a microservice architecture and is deployed on a cloud server. It is responsible for receiving, processing, storing, and distributing logistics information, enabling real-time sharing and collaboration among various nodes.
[0029] Further, the arrival reporting process: Once the goods arrive at the current logistics node, the operator opens the mobile application to report the arrival.
[0030] Manual selection: Select the corresponding base (None, Qian'an, Beijing, Zhixin, Jingtang) in the production base option, select the transportation method (e.g., road transport - barge transport) in the category option, and select the current node from the eight logistics nodes.
[0031] Click the "Scan Label QR Code" button to scan the product label. The system will automatically parse detailed information such as the steel coil number, product information, contract number, net weight, and specifications, and automatically fill in the form. Information Confirmation: The system automatically fills in the reported date (accurate to the second) and address (located via GPS and displayed in province / city / district / county format), and the operator confirms that the information is correct.
[0032] Submit arrival status: Click the arrival confirmation button. The system will automatically record the timestamp and geographic coordinates and upload the data to the intelligent data processing center. Data will be cached locally in case of network interruption and automatically retransmitted upon network recovery.
[0033] Data Processing and Notification: The intelligent data processing center verifies and stores the data, identifies subsequent nodes according to preset transportation link rules, and pushes arrival notifications to operators at subsequent nodes via APP push, SMS, and other means.
[0034] Further details regarding cargo damage reporting procedures: After discovering damage to goods, operators can use the reporting function on the mobile app.
[0035] The current node and steel coil information can be confirmed by manually selecting or scanning the code. Scanning the code can automatically obtain complete scan information.
[0036] Click the photo upload area and take at least three photos of the damaged goods from multiple angles (overall view, close-up details, and damaged edges). The system will automatically check the photo quality. The photos will embed metadata such as node identifiers, location information, timestamps, and operator watermarks.
[0037] Enter a detailed description of the damage in the remarks input box, including the location, type (dents, scratches, rust, deformation, etc.), extent, and possible cause of the damage. Voice-to-text conversion is supported.
[0038] Clicking the submit button will cause the system to compress the photos (below 1080P), package all information (operator information, node information, steel coil information, timestamp, geographical location, damaged photos, and description), and upload them to the intelligent data processing center.
[0039] After receiving the data, the intelligent data processing center verifies, cleans, and stores it, associates the cargo damage information with the current node, marks the status as unprocessed, and shares it with all relevant nodes in real time through the information sharing service.
[0040] The mobile homepage automatically refreshes to display the record, and the damage information management page on the backend management terminal is updated synchronously. After the administrator views the cargo damage details, clicks "Confirm Completion," and the system automatically generates the insurance claim materials (cargo damage photos, cargo information, milestone tracking report, and liability analysis report), which are synchronized to the insurance company's system through a standardized interface to receive claims progress information.
[0041] Backend management interface operation process: Administrators log in to the backend management terminal and filter data on the damage reporting information management page by criteria such as reporting date, location, steel coil number, user, supplier, category, and production base.
[0042] You can switch between the three tabs—All, Unprocessed, and Processed—to view records in different states.
[0043] Click the "View Record" button to open a details window, displaying basic information (reporting date, location, supplier, category, production base, remarks) and steel information (coil number, barcode information, and at least three photos of damaged goods). After confirming that everything is correct, click "Confirm" to mark it as processed.
[0044] On the data analysis page, select the analysis dimension to generate a report: Analysis of cargo damage distribution at each node: The chart shows the quantity and rate of cargo damage at each node.
[0045] Cargo damage type statistics: Statistics on the percentage of each type of cargo damage.
[0046] Comparison of transportation methods: Compare the damage rate, time, and cost of different transportation methods.
[0047] Time trend analysis: The line chart shows the trend of indicator changes.
[0048] Supports exporting to Excel or PDF format.
[0049] View optimization suggestions: The system automatically generates optimization suggestions based on data analysis, such as strengthening training or changing transportation methods for high-frequency cargo damage nodes, and improving packaging for specific types of cargo damage.
[0050] Furthermore, the system's mobile interface: Homepage: Displays all logistics records reported by the operator, including records in progress and completed. Each record shows the coil number, reporting location, reporting time, and status label. Reporting page: Provides functions for reporting arrival status and cargo damage information, and supports functions such as automatic date filling, automatic address location, and production base selection; Personal Center: Displays basic information of operators, reported statistical data, etc.
[0051] System backend management interface: The monitoring homepage displays a statistical overview of all logistics data, including the quantity of goods arriving at each node, damage statistics, and anomaly alerts. Damage reporting information management: Provides multi-dimensional data filtering functions, supports querying by reporting date, location, steel coil number and other conditions, and displays a detailed list of damage reporting information; Data analysis page: Generates various analysis reports, supports data export and visualization; System settings: Configure system parameters such as user permissions, node parameters, and transportation environment adaptation.
[0052] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A full-chain intelligent collaborative management system for logistics, characterized in that, include: The mobile user terminal is configured to allow operators at each logistics node to upload cargo damage information and arrival status. The mobile user terminal includes a node identification module, a cargo damage collection module, a status reporting module, and an upload module. The back-end management terminal is configured to allow administrators to view and analyze all logistics data. The back-end management terminal includes a data monitoring module, an analysis report module, and an optimization suggestion module. The intelligent data processing center is configured to receive logistics information uploaded by the mobile user terminal, and to process, store, and distribute the information. The system is configured to cover eight logistics nodes: warehouse unloading, warehousing, road transport, terminal unloading, sea freight, destination port road transport, transshipment, and warehousing, and is configured to support adaptation to both maritime and land transport environments. The mobile user terminal is configured to display only the logistics information reported by the operator, while the back-end management terminal is configured to display all logistics information reported by all operators. When an operator submits logistics information through the mobile user terminal, the intelligent data processing center associates the information with the logistics node selected by the operator and records the submission timestamp and geographical location information. The intelligent data processing center is configured to share logistics information in real time among eight logistics nodes, and to provide functions such as logistics node query, transportation mode analysis and insurance reporting processing according to query instructions from the back-end management terminal. The system is configured to implement a two-way information feedback mechanism: operators report the arrival status and damage information, and the system pushes logistics node change notifications to relevant operators in real time.
2. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The node identification module is configured to support two node identification methods: Method 1: Identify the current logistics node of the goods through manual selection. The operator selects the current node from eight logistics node options. Method 2: Automatically identify cargo information and current location by scanning the QR code on the cargo label.
3. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The damage acquisition module is configured to require operators to collect at least three multi-angle photos of the damaged goods. The intelligent data processing center is configured to embed node identifiers, location information, timestamps, and operator identity watermarks into the metadata of damaged cargo photos; The upload module is configured to compress the resolution of the damaged cargo photos to 1080P or lower before uploading them to the intelligent data processing center. The damaged cargo photos are in JPEG or PNG format. When the network connection is interrupted, the cargo damage information will be cached in the local storage area; When the network connection is restored, the cached cargo damage information will be automatically uploaded to the intelligent data processing center.
4. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The status reporting module is configured to support operators to report the arrival status of goods with one click. After the operator confirms the arrival of the goods at the current node through the mobile user terminal, the system automatically records the arrival timestamp of the node and pushes the arrival notification to the relevant operators at subsequent nodes.
5. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The data monitoring module is configured to provide a real-time monitoring interface; The real-time monitoring interface is configured to display the arrival status, damage statistics, and abnormal situations of eight logistics nodes. The data monitoring module is also configured to support multi-dimensional data filtering, including querying by reporting date, reporting location, steel coil number, reporting user, supplier name, category, and production base.
6. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The analysis report module is configured to provide multi-dimensional data reports, including cargo damage node distribution analysis, cargo damage type statistics, transportation mode comparison analysis, and cost-benefit analysis. The analysis report module is also configured to support filtering and exporting logistics data by at least one dimension, including time range, node type, cargo type, and operator.
7. The end-to-end intelligent collaborative management system for logistics according to claim 1, characterized in that, The intelligent data processing center is configured as follows: When cargo damage information is confirmed, an insurance claim is generated, which includes cargo damage photos, cargo information, a node traceability report, and a liability analysis report. The insurance claim materials are synchronized to the insurance company's system through a standardized interface; Receive claims progress information returned by the insurance company's system and display it to the back-end management terminal.