Supply chain analysis system and method based on large model

Abstract

The invention relates to the technical field of AI supply chain analysis, in particular to a supply chain analysis system based on a large model, which comprises a display platform, a retrieval module, a supply chain large model and an analysis model, the display platform is used for displaying analysis data and transparent data information in each link; a purchase data system, an inventory data system, a logistics data system, a sales data system and an after-sales data system are summarized into the same large model, transparency of each link in a supply chain is formed, a retrieval module and an analysis module are matched, keyword retrieval is adopted, a keyword instruction is obtained by utilizing the analysis module, and the data of each link in the supply chain is obtained. By using different algorithms, one-key corresponding analysis and prediction of each link in the supply chain are realized, and compared with an opaque prediction mode in each link in the prior art, the prediction system and method are more accurate in prediction effect; the system can be applied to merchants needing suppliers, and can be used for the merchants to become suppliers to supply the suppliers to other merchants.

Description

Technical Field

[0001] The present invention relates to the technical field of AI supply chain analysis, and specifically to a supply chain analysis system and method based on a large model. Background Art

[0002] Supply chain refers to the network structure formed by upstream and downstream enterprises involved in the production and circulation process, which provides products or services to end users, that is, the entire chain from merchants to consumers. For enterprises, each link of the supply chain is crucial. For supply chain analysis, the main defect is the opacity of data in each link of the supply chain, which leads to insufficient data obtained by the analysis system during the management analysis process, resulting in errors in subsequent analysis. To this end, a supply chain analysis system and method based on a large model is proposed to solve the above problems. Summary of the invention

[0003] The purpose of the present invention is to provide a supply chain analysis system and method based on a large model, which solves the problem that the current supply chain analysis system has opaque data in various links, which easily leads to analysis deviations and errors.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a supply chain analysis system and method based on a large model, comprising a display platform, a retrieval module, a supply chain large model and an analysis model;

[0005] The display platform is used to display analysis data and transparent data information in each link;

[0006] The search module is used to provide keywords and keyword entries;

[0007] The supply chain model includes a procurement data system, an inventory data system, a logistics data system, a sales data system and an after-sales data system; the procurement data system, the inventory data system, the logistics data system, the sales data system and the after-sales data system are respectively used to store and record transparent data in each link;

[0008] The analysis module is used to accurately identify the links that need to be predicted in the supply chain based on the keywords and key words provided by the search module, and call different algorithms for targeted analysis.

[0009] Preferably, the procurement data system includes three sub-procurement systems, a main order system and an order generation system;

[0010] The three sub-procurement systems include raw material procurement, semi-finished product procurement, and finished product procurement;

[0011] Raw material procurement includes providing raw materials to merchants and merchants providing raw materials to me;

[0012] Semi-finished product procurement includes providing semi-finished products to merchants and merchants providing semi-finished products to me;

[0013] Finished product procurement includes providing finished products to merchants and merchants providing finished products to me;

[0014] The main order system includes an order generation system and several sub-order systems;

[0015] There are two sub-order systems in raw material procurement, semi-finished product procurement and finished product procurement respectively;

[0016] The sub-order systems correspond to the merchants providing raw materials and merchants providing raw materials for me in raw material procurement, the merchants providing semi-finished products and merchants providing semi-finished products for me in semi-finished product procurement, and the merchants providing finished products and merchants providing finished products for me in finished product procurement.

[0017] The order generation system is used to generate order information for each sub-order system and send it to the main order system for record storage;

[0018] The procurement data system is equipped with a retrieval module. By inputting keywords, the analysis module can retrieve order data or analyze data and display it on the display platform.

[0019] Preferably, the inventory data system includes the storage quantity of each product, the daily production storage quantity of each product, and the daily delivery quantity of each product; the product storage quantity is dynamically updated in real time under the operation of the daily production storage quantity of each product and the daily delivery quantity of each product;

[0020] The daily production volume of each product is supported by the purchase volume of the procurement system and the number of products produced by the factory; the daily product delivery volume is supported by the procurement system and the sales system;

[0021] With the retrieval module, the storage status of the product can be retrieved through product keywords or key words, and displayed through the display platform. The analysis module can also identify and retrieve the corresponding analysis algorithm and perform corresponding analysis.

[0022] Preferably, the logistics data system includes a real-time dynamic weather system, a road system, the current positioning status of the vehicle, and information on the products transported by the vehicle; the dynamic weather system is combined with the weather bureau to release weather conditions; the road system collects intelligence through the Internet and obtains change information on roads and road facilities in a timely manner;

[0023] The road system plans the best transportation route based on real-time weather and road conditions; the vehicle's current positioning status locates the location of the transport vehicle in real time;

[0024] Vehicle transportation product information provides product information;

[0025] The number of transport vehicles varies every day. The logistics system is equipped with a search module to retrieve the location of the vehicle based on product information keywords, which is then displayed on the display platform.

[0026] Preferably, the sales data system includes the sales volume of each product on the day and the sales information generated; the product sales volume is used to provide the sales volume data of each product on a daily basis; and displays the sales information generated;

[0027] With the search module, the daily product sales volume and historical product sales volume can be retrieved according to the product sales information keywords; and displayed on the display platform.

[0028] Preferably, the after-sales data system includes returns and exchanges, sales maintenance, damaged reissues, and after-sales product information;

[0029] Products can be returned or exchanged after they are sold;

[0030] If there are any technical problems with the products sold, we can provide maintenance services to customers;

[0031] After the product is sold, if the customer inspects the product and finds it damaged, we can provide the customer with a reissue service;

[0032] After-sales product information is used to record product information that requires after-sales service;

[0033] With the search module, you can search for products that require after-sales service and the product after-sales service status based on product information keywords.

[0034] Preferably, the analysis module is an AI analysis module; the AI ​​analysis module includes a prediction analysis algorithm, a path optimization algorithm, an inventory optimization algorithm and a collaborative optimization algorithm;

[0035] According to the analysis needs of different links in different supply chains,

[0036] By using different algorithms, we can predict the development trend of each link in the supply chain;

[0037] The analysis data is displayed through the display platform.

[0038] The present invention is achieved by the following steps:

[0039] S1: First, the display platform, search module, supply chain model and analysis model should be interconnected; the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model should operate independently;

[0040] S2: Make all data in the supply chain transparent through the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model;

[0041] Data information sharing is achieved through the analysis module. After the search module performs keyword / word search, the analysis module can retrieve data information from various systems in the supply chain model;

[0042] S3: Input keywords and key words through the search module;

[0043] For example, input: purchase product keyword / term year month order query; the analysis module obtains the keyword and can directly retrieve the product order data being queried, and display it through the display platform;

[0044] For example, input; logistics product keyword / word analysis; the analysis module will actively identify the keyword / word and retrieve the logistics data in the logistics data system to use the corresponding algorithm to analyze and predict, and display it through the display platform;

[0045] For example, if you input: inventory product keyword / word analysis, the analysis module will actively identify the keyword / word and retrieve the product data in the inventory data system, and use the corresponding algorithm to analyze and predict. The prediction results will be displayed on the display platform;

[0046] The product information retrieval and analysis process of other systems is carried out in the same way as the above-mentioned keyword / word search, so as to realize the retrieval of product information, the retrieval of logistics information, and the prediction of the corresponding directions of each system;

[0047] The logistics data system also provides the real-time location of the transport vehicles. By inputting: logistics product keywords / words to query, the analysis module identifies the keywords / words, and the analysis module calls the product logistics transportation data information in the logistics data system in the supply chain model, and finds the current location information of the transport vehicle on the road based on the information.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] The present invention forms transparency in each link of the supply chain by integrating the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system into the same large model, and adopts keyword retrieval with the retrieval module and the analysis module. The keyword instructions are obtained by using the analysis module, and one-click corresponding analysis and prediction of each link in the supply chain are realized by using different algorithms. Compared with the opaque prediction method in each link in the prior art, the prediction effect of the prediction system and method is more accurate. The system can be applied to merchants who need suppliers, and can also be used for merchants to become suppliers to supply other merchants. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] See also Figure 1 , a supply chain analysis system based on a big model, including a display platform, a retrieval module, a supply chain big model and an analysis model;

[0053] The display platform is used to display analysis data and transparent data information in each link;

[0054] The search module is used to provide keywords and keyword entries;

[0055] The supply chain model includes a procurement data system, an inventory data system, a logistics data system, a sales data system and an after-sales data system; the procurement data system, the inventory data system, the logistics data system, the sales data system and the after-sales data system are respectively used to store and record transparent data in each link;

[0056] The analysis module is used to accurately identify the links that need to be predicted in the supply chain based on the keywords and key words provided by the search module, and call different algorithms for targeted analysis;

[0057] By integrating the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system into the same large model, transparency is achieved in each link of the supply chain. By combining the retrieval module and the analysis module, keyword retrieval is adopted, and the analysis module is used to obtain keyword instructions. By utilizing different algorithms, one-click corresponding analysis and prediction of each link in the supply chain is achieved. Compared with the opaque prediction methods in each link in the prior art, the prediction system and method have more accurate prediction effects.

[0058] In this embodiment, the procurement data system includes three sub-procurement systems, a main order system and an order generation system;

[0059] The three sub-procurement systems include raw material procurement, semi-finished product procurement, and finished product procurement;

[0060] Raw material procurement includes providing raw materials to merchants and merchants providing raw materials to me;

[0061] Semi-finished product procurement includes providing semi-finished products to merchants and merchants providing semi-finished products to me;

[0062] Finished product procurement includes providing finished products to merchants and merchants providing finished products to me;

[0063] The main order system includes an order generation system and several sub-order systems;

[0064] There are two sub-order systems in raw material procurement, semi-finished product procurement and finished product procurement respectively;

[0065] The sub-order systems correspond to the merchants providing raw materials and merchants providing raw materials for me in raw material procurement, the merchants providing semi-finished products and merchants providing semi-finished products for me in semi-finished product procurement, and the merchants providing finished products and merchants providing finished products for me in finished product procurement.

[0066] The order generation system is used to generate order information for each sub-order system and send it to the main order system for record storage;

[0067] The procurement data system is equipped with a search module, which can retrieve order data or analyze data to the display platform by inputting keywords and key words;

[0068] Raw material procurement, semi-finished product procurement and finished product procurement can generate independent orders for providing products to merchants and merchants providing products to me; the sub-order system stores the corresponding order information separately and aggregates it to the main order system for real-time query and traceability.

[0069] In this embodiment, the inventory data system includes the storage quantity of each product, the daily production and storage quantity of each product, and the daily delivery quantity of each product; the product storage quantity is dynamically updated in real time under the operation of the daily production and storage quantity of each product and the daily delivery quantity of each product;

[0070] The daily production volume of each product is supported by the purchase volume of the procurement system and the number of products produced by the factory; the daily product delivery volume is supported by the procurement system and the sales system;

[0071] With the search module, the storage status of the product can be searched through the product keywords or key words, and displayed through the display platform, and can be identified by the analysis module to retrieve the corresponding analysis algorithm and perform corresponding analysis;

[0072] The transparency of product inventory quantity changes in real time based on incoming and outgoing products, which ensures that in the subsequent analysis process, the algorithm can make predictions based on the corresponding inventory quantity in the first place to ensure the accuracy of the prediction.

[0073] In this embodiment, the logistics data system includes a real-time dynamic weather system, a road system, and the current positioning status of the vehicle and information about the products transported by the vehicle; the dynamic weather system is combined with the weather bureau to release weather status; the road system collects information through the Internet and obtains change information of roads and road facilities in a timely manner;

[0074] The road system plans the best transportation route based on real-time weather and road conditions; the vehicle's current positioning status locates the location of the transport vehicle in real time;

[0075] Vehicle transportation product information provides product information;

[0076] The number of transport vehicles varies every day. The logistics system is equipped with a search module to search for the location of the vehicle based on product information keywords, which is then displayed on the display platform.

[0077] The real-time dynamic weather system's time prediction will determine the accuracy of the road system's route planning, and will be helpful in later predictions of the time when products will arrive through transportation; the road facility change information obtained by the road system will facilitate later predictions of the road's prototype and traffic rate.

[0078] In this embodiment, the sales data system includes the sales volume of each product on the day and the sales information generated; the product sales volume is used to provide the sales volume data of each product every day; and displays the sales information generated;

[0079] With the search module, the daily product sales volume and historical product sales volume can be retrieved according to the product sales information keywords; and displayed on the display platform;

[0080] The after-sales data system includes return and exchange, sales maintenance, damaged reissue and after-sales product information;

[0081] Products can be returned or exchanged after they are sold;

[0082] If there are any technical problems with the products sold, we can provide maintenance services to customers;

[0083] After the product is sold, if the customer inspects the product and finds it damaged, we can provide the customer with a reissue service;

[0084] After-sales product information is used to record product information that requires after-sales service;

[0085] With the search module, you can search for products that require after-sales service and the product after-sales service status based on product information keywords.

[0086] In this embodiment, the analysis module is an AI analysis module; the AI ​​analysis module includes a prediction analysis algorithm, a path optimization algorithm, an inventory optimization algorithm, and a collaborative optimization algorithm;

[0087] According to the analysis needs of different links in different supply chains,

[0088] By using different algorithms, we can predict the development trend of each link in the supply chain;

[0089] The analysis data is displayed through the display platform;

[0090] Predictive analysis algorithms: AI technology collects and analyzes historical sales data, market trends and other information, and uses predictive analysis algorithms to predict future market demand. This helps companies make production plans and adjust inventory strategies in advance, avoid inventory backlogs or out-of-stock situations, and improve the responsiveness and flexibility of the supply chain;

[0091] Path optimization algorithm: In the logistics and distribution link, AI technology can select the best transportation path for goods through the path optimization algorithm. This can not only reduce transportation costs, but also shorten delivery time and improve customer satisfaction;

[0092] Inventory optimization algorithm: AI technology can help companies achieve intelligent inventory management. Through inventory optimization algorithms, companies can grasp inventory status in real time, predict inventory demand, and adjust inventory strategies according to market demand and supply chain conditions to achieve inventory optimization;

[0093] Collaborative optimization algorithm: In a complex supply chain network, collaboration between various links is crucial. AI technology can coordinate the operation of various links through collaborative optimization algorithms to optimize the efficiency and performance of the entire supply chain.

[0094] The present invention is achieved by the following steps:

[0095] S1: First, the display platform, search module, supply chain model and analysis model should be interconnected; the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model should operate independently;

[0096] S2: Make all data in the supply chain transparent through the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model;

[0097] Data information sharing is achieved through the analysis module. After the search module performs keyword / word search, the analysis module can retrieve data information from various systems in the supply chain model;

[0098] S3: Input keywords and key words through the search module;

[0099] For example, input: purchase product keyword / term year month order query; the analysis module obtains the keyword and can directly retrieve the product order data being queried, and display it through the display platform;

[0100] For example, input; logistics product keyword / word analysis; the analysis module will actively identify the keyword / word and retrieve the logistics data in the logistics data system to use the corresponding algorithm to analyze and predict, and display it through the display platform;

[0101] For example, if you input: inventory product keyword / word analysis, the analysis module will actively identify the keyword / word and retrieve the product data in the inventory data system, and use the corresponding algorithm to analyze and predict. The prediction results will be displayed on the display platform;

[0102] The product information retrieval and analysis process of other systems is carried out in the same way as the above-mentioned keyword / word search, so as to realize the retrieval of product information, the retrieval of logistics information, and the prediction of the corresponding directions of each system;

[0103] The logistics data system also provides the real-time location of the transport vehicles. By inputting: logistics product keywords / words to query, the analysis module identifies the keywords / words, and the analysis module calls the product logistics transportation data information in the logistics data system in the supply chain model, and finds the current location information of the transport vehicle on the road based on the information.

[0104] 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. A supply chain analysis system based on a large model, characterized by: Includes display platform, retrieval module, supply chain big model and analysis model; The display platform is used to display analysis data and transparent data information in each link; The search module is used to provide keywords and keyword entries; The supply chain model includes a procurement data system, an inventory data system, a logistics data system, a sales data system and an after-sales data system; The procurement data system, inventory data system, logistics data system, sales data system and after-sales data system are used to store and record transparent data in each link respectively; The analysis module is used to accurately identify the links that need to be predicted in the supply chain based on the keywords and key words provided by the search module, and call different algorithms for targeted analysis.

2. A supply chain analysis system based on a large model according to claim 1, characterized in that: The procurement data system includes three sub-procurement systems, a main order system and an order generation system; The three sub-procurement systems include raw material procurement, semi-finished product procurement, and finished product procurement; Raw material procurement includes providing raw materials to merchants and merchants providing raw materials to me; Semi-finished product procurement includes providing semi-finished products to merchants and merchants providing semi-finished products to me; Finished product procurement includes providing finished products to merchants and merchants providing finished products to me; The main order system includes an order generation system and several sub-order systems; There are two sub-order systems in raw material procurement, semi-finished product procurement and finished product procurement respectively; The sub-order systems correspond to the merchants providing raw materials and merchants providing raw materials for me in raw material procurement, the merchants providing semi-finished products and merchants providing semi-finished products for me in semi-finished product procurement, and the merchants providing finished products and merchants providing finished products for me in finished product procurement. The order generation system is used to generate order information for each sub-order system and send it to the main order system for record storage; The procurement data system is equipped with a retrieval module. By inputting keywords, the analysis module can retrieve order data or analyze data and display it on the display platform.

3. The supply chain analysis system based on a large model according to claim 1, characterized in that: The inventory data system includes the storage quantity of each product, the daily production storage quantity of each product, and the daily outbound quantity of each product; the product storage quantity is updated in real time under the operation of the daily production storage quantity of each product and the daily outbound quantity of each product; The daily production volume of each product is supported by the purchase volume of the procurement system and the number of products produced by the factory; the daily product delivery volume is supported by the procurement system and the sales system; With the retrieval module, the storage status of the product can be retrieved through product keywords or key words, and displayed through the display platform. The analysis module can also identify and retrieve the corresponding analysis algorithm and perform corresponding analysis.

4. The supply chain analysis system based on a large model according to claim 1, characterized in that: The logistics data system includes a real-time dynamic weather system, a road system, the current position status of vehicles, and information about the products transported by vehicles; the dynamic weather system is combined with the weather bureau to release weather conditions; the road system collects intelligence through the Internet and obtains information on changes to roads and road facilities in a timely manner; The road system plans the best transportation route based on real-time weather and road conditions; the vehicle's current positioning status locates the location of the transport vehicle in real time; Vehicle transportation product information provides product information; The number of transport vehicles varies every day. The logistics system is equipped with a search module to retrieve the location of the vehicle based on product information keywords, which is then displayed on the display platform.

5. The supply chain analysis system based on a large model according to claim 1, characterized in that: The sales data system includes the sales volume of each product on the day and the sales information; the product sales volume is used to provide daily sales volume data of each product; and displays the sales information of each product; With the search module, the daily product sales volume and historical product sales volume can be retrieved according to the product sales information keywords; and displayed on the display platform.

6. The supply chain analysis system based on a large model according to claim 1, characterized in that: The after-sales data system includes return and exchange, sales maintenance, damaged reissue and after-sales product information; Products can be returned or exchanged after they are sold; If there are any technical problems with the products sold, we can provide maintenance services to customers; After the product is sold, if the customer inspects the product and finds it damaged, we can provide the customer with a reissue service; After-sales product information is used to record product information that requires after-sales service; With the search module, you can search for products that require after-sales service and the product after-sales service status based on product information keywords.

7. The supply chain analysis system based on a large model according to claim 1, characterized in that: The analysis module is an AI analysis module; the AI ​​analysis module includes a prediction analysis algorithm, a path optimization algorithm, an inventory optimization algorithm and a collaborative optimization algorithm; According to the analysis needs of different links in different supply chains, By using different algorithms, we can predict the development trend of each link in the supply chain; The analysis data is displayed through the display platform.

8. A method for using a supply chain analysis system based on a large model, characterized by: S1: First, the display platform, search module, supply chain model and analysis model should be interconnected; the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model should operate independently; S2: Make all data in the supply chain transparent through the procurement data system, inventory data system, logistics data system, sales data system and after-sales data system in the supply chain model; Data information sharing is achieved through the analysis module. After the search module performs keyword / word search, the analysis module can retrieve data information from various systems in the supply chain model; S3: Input keywords and key words through the search module; For example, input: Purchase product keyword / term year month order query; The analysis module obtains keywords to directly retrieve the product order data being queried and displays it through the display platform; Such as input; Logistics product keyword / word analysis; the analysis module will actively identify keywords / words and retrieve logistics data from the logistics data system using corresponding algorithms for analysis and prediction, and display them on the display platform; For example, if you input: inventory product keyword / word analysis, the analysis module will actively identify the keyword / word and retrieve the product data in the inventory data system, and use the corresponding algorithm to analyze and predict. The prediction results will be displayed on the display platform; The product information retrieval and analysis process of other systems is carried out in the same way as the above-mentioned keyword / word search, so as to realize the retrieval of product information, the retrieval of logistics information, and the prediction of the corresponding directions of each system; The logistics data system also provides the real-time location of the transport vehicles. By inputting: logistics product keywords / words to query, the analysis module identifies the keywords / words, and the analysis module calls the product logistics transportation data information in the logistics data system in the supply chain model, and finds the current location information of the transport vehicle on the road based on the information.

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