CN113362006A - Intelligent supply chain logistics big data AI management platform - Google Patents
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Abstract
The invention discloses an intelligent supply chain logistics big data AI management platform, which comprises a logistics big data AI system, a logistics settlement management system, a transportation management system, a warehouse management system and a supply chain cooperative system.
Description
Technical Field
The invention relates to the technical field of intelligent logistics, in particular to an intelligent supply chain logistics big data AI management platform.
Background
With the development and popularization of artificial intelligence AI technology, the traditional supply chain is transiting to a digital supply chain, the digital supply chain has the advantages of rapidness, agility, community interconnection, intelligent optimization, end-to-end transparency, overall decision and the like, the influence of the space-time limitation of the traditional supply chain is gradually reduced with the utilization of the whole supply network by enterprises, and with the help of the digital supply chain, the enterprises can improve the performance level, improve the operation efficiency and create new operation and income opportunities.
At present, many enterprises still cannot achieve the condition of implementing the digital supply chain, or a supply chain execution management system does not exist, or the execution management system is islanded and fragmented, and no unified, professional and normative top-level design and professional system are used for guidance, so that a unified and normative professional system is urgently needed to be designed to provide guidance for the enterprise to implement the digital supply chain.
Disclosure of Invention
In order to solve the problems existing in the implementation of a digital supply chain of an enterprise, the invention aims to provide an intelligent supply chain logistics big data AI management platform, the logistics big data AI management platform is designed by combining big data and AI, a uniform and standard professional system is provided for the realization of the digital supply chain of the enterprise, and the problem that the realization of the digital supply chain of the enterprise lacks of professional system guidance is solved.
In order to achieve the purpose, the invention adopts the technical scheme that: the invention provides an intelligent supply chain logistics big data AI management platform, which comprises a logistics big data AI system, a logistics settlement management system, a transportation management system, a warehouse management system and a supply chain coordination system, wherein the logistics big data AI system is respectively communicated with the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain coordination system through a computer application program interface and a network;
the logistics settlement management system is used for carrying out whole-course management on logistics business, the transportation management system is used for carrying out whole-course management on logistics transportation, the warehouse management system is used for carrying out whole-course management on logistics storage, the supply chain coordination system is used for coordinating and integrating activities of enterprises in a supply chain related to the logistics business, and the logistics big data AI system is used for processing and analyzing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain coordination system so as to provide monitoring, decision-making and scheduling services for the enterprises;
the logistics big data AI system comprises a big data metadata module, a big data set module, a warehouse monitoring module, a transportation monitoring module, a resource monitoring module, a visual billboard module, a logistics decision AI analysis module and a logistics scheduling RPA robot module; the big data metadata module is used for receiving and storing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain cooperative system and preprocessing the data, and comprises filtering non-compliant data, cleaning meaningless data, converting and normalizing formats, and filtering and separating basic data of various different columns according to subsequent requirements; the big data set module is used for sorting basic data of various different columns which are filtered and separated by the big data metadata module into data sets of different categories for being called by other modules; the warehouse monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of warehouses with different distribution places; the transportation monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of logistics transportation; the resource monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of monitoring the storage and the transportation capacity; the visual billboard module is used for displaying the monitoring data of the warehouse monitoring module, the transportation monitoring module and the resource monitoring module in a visual billboard mode; the logistics decision AI analysis module is used for processing the analyzed data according to the big data set module and providing decision service for the storage and transportation capacity of enterprises so as to reduce the cost; the logistics scheduling RPA robot module is used for automating a logistics core process by using an RPA robot, and comprises automatic order import, SAP warehousing and order making automation, cabin order entry automation, customs order making automation, purchasing and warehousing automation and customer requirement splitting automatic order making.
Further, the logistics settlement management system comprises a contract management module, a quotation management module, a charging rate management module, a charge verification and cancellation module, a charge supplement and record module, a charge settlement module, an invoice management module, a distribution management module, a receivable management module, a payable management module, a pre-extraction management module and a budget management module; the contract management module is used for realizing the whole-process electronic management of the contract, covering contract signing, examination and approval, fulfillment, filing and risk control; the quotation management module is used for realizing automatic quotation management, including quotation in the aspects of transportation, storage, insurance, abnormity and timeliness; the charge rate management module is used for realizing basic rate maintenance management functions, including the charges in the aspects of storage, loading and unloading, sorting, delivery and transportation; the expense verification and cancellation module is used for realizing the automatic management of an expense verification and cancellation process; the expense additional recording module is used for realizing the automatic management of the expense additional recording process; the expense settlement module is used for realizing the automatic management of an expense settlement process; the invoice management module is used for realizing automatic management of an invoice flow; the allocation management module is used for realizing the automatic management of the allocation process; the receivable management module is used for realizing automatic management of a receivable account flow; the payable management module is used for realizing automatic management of the payable account flow; the pre-extraction management module is used for realizing the automatic management of the pre-extraction cost process; the budget management module is used for realizing the automatic management of the budget process.
Furthermore, the transportation management system comprises a consignment bill management module, a carrier management module, a scheduling management module, a transportation tracking module, a receipt signing module, an exception management module, an express delivery management module and a price comparison management module; the consignment bill management module is used for realizing digital management of a traditional freight bill flow; the carrier management module is used for realizing archive management of the logistics carrier; the scheduling management module is used for matching the order with the correct carrier with the cooperation relationship; the transportation tracking module is used for realizing transportation node tracking and updating database records; the receipt signing module is used for realizing digital management of a receipt signing flow; the exception management module is used for realizing automatic management of the abnormal transportation process; the express delivery management module is used for realizing automatic management of an express delivery process; and the price comparison management module is used for realizing the automatic management of the purchase price comparison process.
Furthermore, the warehouse management system comprises a receiving management module, an overhead management module, a quality inspection management module, a wave frequency management module, a picking management module, a distribution management module, a rechecking and boxing module and a replenishment inventory module; the receiving management module is used for realizing the automatic management of a receiving process, the shelving management module is used for realizing the automatic management of a goods shelving process, the quality inspection management module is used for realizing the automatic management of a goods quality inspection process, the wave management module is used for realizing the scheduling management and the plan management of logistics orders, the picking management module is used for realizing the automatic management of a picking process, the distribution management module is used for realizing the automatic management of a goods distribution process, the rechecking boxing module is used for realizing the automatic management of a goods rechecking boxing process, and the replenishment checking module is used for realizing the automatic management of a replenishment checking process.
Further, the supply chain coordination system comprises a new product source searching module, a bidding coordination module, an order management module, a production coordination module, a delivery coordination module, a logistics coordination module, an inventory coordination module and a financial coordination module; the system comprises a new product source searching module, a price competition collaborative module, a production collaborative module, a delivery collaborative module, a logistics collaborative module, a VMI inventory sharing module, inventory early warning and replenishment management functions, and a financial collaborative module, wherein the new product source searching module is used for realizing the functions of supplier access, sample release and order meeting, the price competition collaborative module is used for realizing the functions of price inquiry, bid price competition, the order management module is used for realizing the functions of purchase order consultation, delivery date management and order tracking, the production collaborative module is used for realizing the functions of production plan consultation, production progress tracking and quality inspection management, the delivery collaborative module is used for realizing the functions of ASN consultation, delivery reservation and bar code management, the logistics collaborative module is used for realizing the functions of piece collecting notification, logistics tracking and vehicle queuing, the inventory collaborative module is used for realizing the functions of VMI inventory sharing, inventory early warning and replenishment management, and the financial collaborative module is used for realizing the functions of logistics billing, payment and reconciliation and settlement management.
Furthermore, the big data metadata module, the big data set module, the warehouse monitoring module, the transportation monitoring module, the resource monitoring module, the visual billboard module, the logistics decision AI analysis module, and the logistics scheduling RPA robot module are connected through a computer application program interface and transmit data.
Further, the contract management module, the quotation management module, the billing rate management module, the expense verification and cancellation module, the expense additional recording module, the expense settlement module, the invoice management module, the apportionment management module, the receivable management module, the payable management module, the pre-extraction management module and the budget management module are connected through a computer application program interface and transmit data.
Further, the consignment bill management module, the carrier management module, the scheduling management module, the transportation tracking module, the receipt signing module, the exception management module, the express delivery management module and the price comparison management module are connected through a computer application program interface and transmit data.
Furthermore, the receiving management module, the shelf loading management module, the quality inspection management module, the wave frequency management module, the picking management module, the distribution management module, the rechecking and boxing module and the replenishment inventory module are connected through a computer application program interface and transmit data.
Further, the new product source searching module, the bidding collaboration module, the order management module, the production collaboration module, the delivery collaboration module, the logistics collaboration module, the inventory collaboration module and the financial collaboration module are connected through a computer application program interface and transmit data.
Compared with the prior art, the intelligent supply chain logistics big data AI management platform provided by the invention comprises an application layer, a platform layer, a credible layer, a network layer, an edge layer and an equipment layer, wherein the equipment layer comprises all Internet of things equipment provided with an intelligent chip; the edge layer constructs a data base of the Internet of things operation platform by performing large-scale and deep-level data acquisition on the Internet of things equipment contained in the equipment layer and performing protocol conversion and edge processing on heterogeneous data; the network layer is used for transparent data transmission between the edge layer and the credible layer; the trusted layer is used for providing trusted infrastructure as a service (IaaS); the platform layer provides development, operation and control environment, namely middleware function for the application layer by utilizing the capability of the trusted layer; the application layer calculates, processes and excavates knowledge through data collected and transmitted by the side insulating layer, so that implementation control, accurate management and scientific decision of the operation platform of the Internet of things are realized; thereby for middle-size and small-size enterprise provides convenient easy-to-use's thing networking operation platform, can be applied to a plurality of scenes such as wisdom city, wisdom garden, wisdom community, wisdom campus, wisdom endowment, wisdom agriculture, wisdom supply chain.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a system diagram of an intelligent supply chain logistics big data AI management platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The same or similar reference numerals in the drawings of the present embodiment correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", etc. based on the orientation or positional relationship shown in the drawings, it is only for convenience of describing the present invention and simplifying the description, but it is not intended to indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and are not to be construed as limiting the present patent, and the specific meaning of the terms may be understood by those skilled in the art according to specific circumstances.
The technical solution of the present invention is described in detail below with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, the intelligent supply chain logistics big data AI management platform provided by the invention comprises a logistics big data AI system, a logistics settlement management system, a transportation management system, a warehouse management system and a supply chain coordination system, wherein the logistics big data AI system respectively realizes data exchange with the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain coordination system through a computer application program interface and a network;
the logistics settlement management system is used for carrying out whole-course management on logistics business, the transportation management system is used for carrying out whole-course management on logistics transportation, the warehouse management system is used for carrying out whole-course management on logistics storage, the supply chain coordination system is used for coordinating and integrating activities of enterprises in a supply chain related to the logistics business, and the logistics big data AI system is used for processing and analyzing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain coordination system so as to provide monitoring, decision-making and scheduling services for the enterprises;
the logistics big data AI system comprises a big data metadata module, a big data set module, a warehouse monitoring module, a transportation monitoring module, a resource monitoring module, a visual billboard module, a logistics decision AI analysis module and a logistics scheduling RPA robot module; the big data metadata module is used for receiving and storing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain cooperative system and preprocessing the data, and comprises filtering non-compliant data, cleaning meaningless data, converting and normalizing formats, and filtering and separating basic data of various different columns according to subsequent requirements; the big data set module is used for sorting basic data of various different columns which are filtered and separated by the big data metadata module into data sets of different categories for being called by other modules; the warehouse monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of warehouses with different distribution places; the transportation monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of logistics transportation; the resource monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of monitoring the storage and the transportation capacity; the visual billboard module is used for displaying the monitoring data of the warehouse monitoring module, the transportation monitoring module and the resource monitoring module in a visual billboard mode; the logistics decision AI analysis module is used for processing the analyzed data according to the big data set module and providing decision service for the storage and transportation capacity of enterprises so as to reduce the cost; the logistics scheduling RPA robot module is used for automating a logistics core process by using an RPA robot, and comprises automatic order import, SAP warehousing and order making automation, cabin order entry automation, customs order making automation, purchasing and warehousing automation and customer requirement splitting automatic order making.
The intelligent supply chain logistics big data AI management platform provided by the technical scheme comprises a logistics big data AI system, a logistics settlement management system, a transportation management system, a warehouse management system and a supply chain cooperative system.
As an embodiment of the present invention, the logistics settlement management system includes a contract management module, a quotation management module, a billing rate management module, a fee verification and cancellation module, a fee additional recording module, a fee settlement module, an invoice management module, an allocation management module, an receivable management module, a payable management module, a pre-submission management module, and a budget management module; the contract management module is used for realizing the whole-process electronic management of the contract, covering contract signing, examination and approval, fulfillment, filing and risk control; the quotation management module is used for realizing automatic quotation management, including quotation in the aspects of transportation, storage, insurance, abnormity and timeliness; the charge rate management module is used for realizing basic rate maintenance management functions, including the charges in the aspects of storage, loading and unloading, sorting, delivery and transportation; the expense verification and cancellation module is used for realizing the automatic management of an expense verification and cancellation process; the expense additional recording module is used for realizing the automatic management of the expense additional recording process; the expense settlement module is used for realizing the automatic management of an expense settlement process; the invoice management module is used for realizing automatic management of an invoice flow; the allocation management module is used for realizing the automatic management of the allocation process; the receivable management module is used for realizing automatic management of a receivable account flow; the payable management module is used for realizing automatic management of the payable account flow; the pre-extraction management module is used for realizing the automatic management of the pre-extraction cost process; the budget management module is used for realizing the automatic management of the budget process.
As an embodiment of the present invention, the transportation management system includes a consignment bill management module, a carrier management module, a scheduling management module, a transportation tracking module, a receipt signing module, an exception management module, an express delivery management module, and a price comparison management module; the consignment bill management module is used for realizing digital management of a traditional freight bill flow; the carrier management module is used for realizing archive management of the logistics carrier; the scheduling management module is used for matching the order with the correct carrier with the cooperation relationship; the transportation tracking module is used for realizing transportation node tracking and updating database records; the receipt signing module is used for realizing digital management of a receipt signing flow; the exception management module is used for realizing automatic management of the abnormal transportation process; the express delivery management module is used for realizing automatic management of an express delivery process; and the price comparison management module is used for realizing the automatic management of the purchase price comparison process.
As an embodiment of the invention, the warehouse management system comprises a receiving management module, an upper rack management module, a quality inspection management module, a wave frequency management module, a picking management module, a distribution management module, a rechecking and boxing module and a replenishment inventory module; the receiving management module is used for realizing the automatic management of a receiving process, the shelving management module is used for realizing the automatic management of a goods shelving process, the quality inspection management module is used for realizing the automatic management of a goods quality inspection process, the wave management module is used for realizing the scheduling management and the plan management of logistics orders, the picking management module is used for realizing the automatic management of a picking process, the distribution management module is used for realizing the automatic management of a goods distribution process, the rechecking boxing module is used for realizing the automatic management of a goods rechecking boxing process, and the replenishment checking module is used for realizing the automatic management of a replenishment checking process.
As an embodiment of the present invention, the supply chain coordination system includes a new product sourcing module, a bidding coordination module, an order management module, a production coordination module, a delivery coordination module, a logistics coordination module, an inventory coordination module, and a financial coordination module; the system comprises a new product source searching module, a price competition collaborative module, a production collaborative module, a delivery collaborative module, a logistics collaborative module, a VMI inventory sharing module, inventory early warning and replenishment management functions, and a financial collaborative module, wherein the new product source searching module is used for realizing the functions of supplier access, sample release and order meeting, the price competition collaborative module is used for realizing the functions of price inquiry, bid price competition, the order management module is used for realizing the functions of purchase order consultation, delivery date management and order tracking, the production collaborative module is used for realizing the functions of production plan consultation, production progress tracking and quality inspection management, the delivery collaborative module is used for realizing the functions of ASN consultation, delivery reservation and bar code management, the logistics collaborative module is used for realizing the functions of piece collecting notification, logistics tracking and vehicle queuing, the inventory collaborative module is used for realizing the functions of VMI inventory sharing, inventory early warning and replenishment management, and the financial collaborative module is used for realizing the functions of logistics billing, payment and reconciliation and settlement management.
As an embodiment of the present invention, the big data metadata module, the big data set module, the warehouse monitoring module, the transportation monitoring module, the resource monitoring module, the visual billboard module, the logistics decision AI analysis module, and the logistics scheduling RPA robot module are connected through a computer application program interface and transmit data.
As an embodiment of the present invention, the contract management module, the offer management module, the billing rate management module, the expense verification and cancellation module, the expense additional recording module, the expense settlement module, the invoice management module, the allocation management module, the receivable management module, the payable management module, the pre-submission management module, and the budget management module are connected to each other through a computer application interface and transmit data.
As an embodiment of the present invention, the consignment bill management module, the carrier management module, the dispatch management module, the transportation tracking module, the receipt signing module, the exception management module, the express delivery management module, and the price comparison management module are connected through a computer application program interface and transmit data.
As an embodiment of the present invention, the receiving management module, the shelf loading management module, the quality inspection management module, the wave order management module, the picking management module, the allocating management module, the rechecking and casing module, and the replenishment inventory module are connected to each other through a computer application program interface and transmit data.
As an embodiment of the present invention, the new product sourcing module, the bidding collaboration module, the order management module, the production collaboration module, the delivery collaboration module, the logistics collaboration module, the inventory collaboration module, and the finance collaboration module are connected through a computer application program interface and transmit data.
Preferably, all the modules related to the technical solution of the present invention are implemented by using a published, mature and open-source program architecture and program codes, the business processes related to the technical solution of the present invention are all common knowledge in the art, and a person skilled in the art can easily implement the functions described according to the technical solution by using the existing and published program architecture and program codes.
The embodiments of the present invention have been described in detail, but the invention is not limited to the embodiments, and those skilled in the art can make many equivalent modifications or substitutions without departing from the spirit of the present invention, and the equivalents or substitutions are included in the scope of protection defined by the claims of the present application.
Claims (10)
1. The intelligent supply chain logistics big data AI management platform is characterized by comprising a logistics big data AI system, a logistics settlement management system, a transportation management system, a warehouse management system and a supply chain cooperative system, wherein the logistics big data AI system is respectively communicated with the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain cooperative system through a computer application program interface and a network;
the logistics settlement management system is used for carrying out whole-course management on logistics business, the transportation management system is used for carrying out whole-course management on logistics transportation, the warehouse management system is used for carrying out whole-course management on logistics storage, the supply chain coordination system is used for coordinating and integrating activities of enterprises in a supply chain related to the logistics business, and the logistics big data AI system is used for processing and analyzing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain coordination system so as to provide monitoring, decision-making and scheduling services for the enterprises;
the logistics big data AI system comprises a big data metadata module, a big data set module, a warehouse monitoring module, a transportation monitoring module, a resource monitoring module, a visual billboard module, a logistics decision AI analysis module and a logistics scheduling RPA robot module; the big data metadata module is used for receiving and storing data transmitted by the logistics settlement management system, the transportation management system, the warehouse management system and the supply chain cooperative system and preprocessing the data, and comprises filtering non-compliant data, cleaning meaningless data, converting and normalizing formats, and filtering and separating basic data of various different columns according to subsequent requirements; the big data set module is used for sorting basic data of various different columns which are filtered and separated by the big data metadata module into data sets of different categories for being called by other modules; the warehouse monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of warehouses with different distribution places; the transportation monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of centralized monitoring of logistics transportation; the resource monitoring module is used for processing the analyzed data according to the big data set module and realizing the function of monitoring the storage and the transportation capacity; the visual billboard module is used for displaying the monitoring data of the warehouse monitoring module, the transportation monitoring module and the resource monitoring module in a visual billboard mode; the logistics decision AI analysis module is used for processing the analyzed data according to the big data set module and providing decision service for the storage and transportation capacity of enterprises so as to reduce the cost; the logistics scheduling RPA robot module is used for automating a logistics core process by using an RPA robot, and comprises automatic order import, SAP warehousing and order making automation, cabin order entry automation, customs order making automation, purchasing and warehousing automation and customer requirement splitting automatic order making.
2. The AI management platform according to claim 1, wherein the AI management system comprises a contract management module, a quotation management module, a billing rate management module, a fee verification and cancellation module, a fee entry module, a fee settlement module, an invoice management module, an allocation management module, an acceptance management module, an administration due management module, a pre-extraction management module, and a budget management module; the contract management module is used for realizing the whole-process electronic management of the contract, covering contract signing, examination and approval, fulfillment, filing and risk control; the quotation management module is used for realizing automatic quotation management, including quotation in the aspects of transportation, storage, insurance, abnormity and timeliness; the charge rate management module is used for realizing basic rate maintenance management functions, including the charges in the aspects of storage, loading and unloading, sorting, delivery and transportation; the expense verification and cancellation module is used for realizing the automatic management of an expense verification and cancellation process; the expense additional recording module is used for realizing the automatic management of the expense additional recording process; the expense settlement module is used for realizing the automatic management of an expense settlement process; the invoice management module is used for realizing automatic management of an invoice flow; the allocation management module is used for realizing the automatic management of the allocation process; the receivable management module is used for realizing automatic management of a receivable account flow; the payable management module is used for realizing automatic management of the payable account flow; the pre-extraction management module is used for realizing the automatic management of the pre-extraction cost process; the budget management module is used for realizing the automatic management of the budget process.
3. The AI management platform according to claim 1, wherein the transportation management system includes a consignment note management module, a carrier management module, a scheduling management module, a transportation tracking module, a receipt signing module, an exception management module, a courier management module, a price comparison management module; the consignment bill management module is used for realizing digital management of a traditional freight bill flow; the carrier management module is used for realizing archive management of the logistics carrier; the scheduling management module is used for matching the order with the correct carrier with the cooperation relationship; the transportation tracking module is used for realizing transportation node tracking and updating database records; the receipt signing module is used for realizing digital management of a receipt signing flow; the exception management module is used for realizing automatic management of the abnormal transportation process; the express delivery management module is used for realizing automatic management of an express delivery process; and the price comparison management module is used for realizing the automatic management of the purchase price comparison process.
4. The AI management platform according to claim 1, wherein the warehouse management system includes a receiving management module, an on-shelf management module, a quality inspection management module, a wave management module, a picking management module, a distribution management module, a rechecking and boxing module, and a replenishment inventory module; the receiving management module is used for realizing the automatic management of a receiving process, the shelving management module is used for realizing the automatic management of a goods shelving process, the quality inspection management module is used for realizing the automatic management of a goods quality inspection process, the wave management module is used for realizing the scheduling management and the plan management of logistics orders, the picking management module is used for realizing the automatic management of a picking process, the distribution management module is used for realizing the automatic management of a goods distribution process, the rechecking boxing module is used for realizing the automatic management of a goods rechecking boxing process, and the replenishment checking module is used for realizing the automatic management of a replenishment checking process.
5. The AI management platform according to claim 1, wherein the supply chain collaboration system includes a new source module, a bid collaboration module, an order management module, a production collaboration module, a delivery collaboration module, a logistics collaboration module, an inventory collaboration module, and a financial collaboration module; the system comprises a new product source searching module, a price competition collaborative module, a production collaborative module, a delivery collaborative module, a logistics collaborative module, a VMI inventory sharing module, inventory early warning and replenishment management functions, and a financial collaborative module, wherein the new product source searching module is used for realizing the functions of supplier access, sample release and order meeting, the price competition collaborative module is used for realizing the functions of price inquiry, bid price competition, the order management module is used for realizing the functions of purchase order consultation, delivery date management and order tracking, the production collaborative module is used for realizing the functions of production plan consultation, production progress tracking and quality inspection management, the delivery collaborative module is used for realizing the functions of ASN consultation, delivery reservation and bar code management, the logistics collaborative module is used for realizing the functions of piece collecting notification, logistics tracking and vehicle queuing, the inventory collaborative module is used for realizing the functions of VMI inventory sharing, inventory early warning and replenishment management, and the financial collaborative module is used for realizing the functions of logistics billing, payment and reconciliation and settlement management.
6. The intelligent supply chain logistics big data AI management platform of claim 1, wherein the big data metadata module, the big data set module, the warehouse monitoring module, the transportation monitoring module, the resource monitoring module, the visual billboard module, the logistics decision AI analysis module, the logistics scheduling RPA robot module are connected and communicate data through a computer application program interface.
7. The AI management platform according to claim 2, wherein the contract management module, the quotation management module, the billing rate management module, the expense verification module, the expense additional recording module, the expense settlement module, the invoice management module, the allocation management module, the receivable management module, the payable management module, the forecast management module, and the budget management module are connected via a computer application program interface and transmit data.
8. The AI management platform according to claim 3, wherein the consignment note management module, the carrier management module, the dispatch management module, the transportation tracking module, the receipt module, the exception management module, the courier management module, and the price comparison management module are connected via a computer application program interface and transmit data.
9. The AI management platform according to claim 4, wherein the receiving management module, the shelf loading management module, the quality inspection management module, the wave order management module, the picking management module, the allocating management module, the rechecking and boxing module, and the replenishment inventory module are connected via a computer API to transmit data.
10. The AI management platform according to claim 5, wherein the newsfeed module, the bid collaboration module, the order management module, the production collaboration module, the delivery collaboration module, the logistics collaboration module, the inventory collaboration module, and the finance collaboration module are connected via a computer application program interface and transmit data.
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