CN113657690A - Artificial intelligence automatic supply and demand accurate matching system based on big data analysis - Google Patents
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Abstract
The invention discloses an artificial intelligence automatic supply and demand precise matching system based on big data analysis, which has the technical scheme key points that: the system comprises a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module and a supply receiving module; the supply chain management system comprises an information management system for collecting goods delivery information, wherein the goods delivery information at least comprises goods information and delivery information, and the delivery information at least comprises delivery route information and a current position; the logistics management system comprises a receiving unit, a record list unit and a dispatching unit; the artificial intelligence automatic supply and demand accurate matching system based on big data analysis makes full use of big data and a supply chain to actively predict the supply and demand relationship, comprehensively considers the supply and demand relationship according to the aspects of materials, inventory, company operation and the like, and can improve the competitiveness of enterprises.
Description
Technical Field
The invention relates to the field of big data, in particular to an artificial intelligence automatic supply and demand accurate matching system based on big data analysis.
Background
When industrial products are sold, the supply and demand relationship needs to be known. The complex market environment can be dealt with only by knowing the change of the supply and demand relationship, and the market plateau can be occupied in time, so that the favorable status is obtained, the postknowledge is not realized, and the adjustment is made after the large change is generated according to the supply and demand of the market environment.
The existing Chinese patent with publication number CN112581010A discloses a system and a method for supply and demand butt joint matching of industrial products, which belong to the technical field of computers, and carry out accurate matching based on database big data, wherein the system comprises the following functional modules: the system comprises a real-name authentication module, an information acquisition module, an advantageous product declaration module, an advantageous product publicity issuing module, a product matching module and an online purchasing module; by collecting the industrial product condition of an enterprise, a working mechanism based on big data analysis industrial panoramic picture is established.
The system and the method for matching supply and demand of industrial products have some disadvantages, such as: the supply and demand relationship is not actively predicted by utilizing big data and a supply chain, and the supply and demand relationship cannot be comprehensively evaluated according to various aspects such as materials, inventory, company operation and the like.
Disclosure of Invention
Aiming at the problems mentioned in the background art, the invention aims to provide an artificial intelligence automatic supply and demand precise matching system based on big data analysis so as to solve the problems mentioned in the background art.
The technical purpose of the invention is realized by the following technical scheme:
an artificial intelligence automatic supply and demand accurate matching system based on big data analysis comprises a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module and a supply receiving module; the supply chain management system comprises an information management system for collecting goods delivery information, wherein the goods delivery information at least comprises goods information and delivery information, and the delivery information at least comprises delivery route information and a current position; the logistics management system comprises a receipt receiving unit, a record unit, a delivery unit, a real-time tracking unit and a logistics information sharing platform, and the inventory management system comprises a theme module, a creator module, a warehouse transferring module, a state module, a warehouse discharging management module, a warehouse discharging confirmation time module, a warehouse warehousing management module and a warehouse warehousing confirmation time module; the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the demand evaluation module is used for evaluating demands, the supply evaluation module is used for evaluating and calculating supply, and the reconciliation system is used for calculating, counting and reconciling the calculation results of the demand evaluation module and the supply evaluation module and the actual results of the demand distribution module and the supply receiving module.
Preferably, the system further comprises a supply and demand relationship integrated management evaluation module, and the supply and demand relationship integrated management evaluation module calculates the supply and demand relationship through prediction dimensions, prediction spans, prediction intervals, prediction units, a quantitative prediction method, an exponential smoothing method and a regression analysis operation means.
Preferably, the system also comprises a department resource integration module, wherein the department resource integration module comprises an assessment unit, a performance evaluation unit, a performance reward unit, a supply chain strategy consultation unit, a real name authentication module, an information acquisition module, an advantage product declaration module, an advantage product public presentation and release module, a product matching module and an online purchasing module.
Preferably, the reconciliation system comprises a connection contact unit, a data record, a comparison unit and a form generation unit, wherein the contact unit establishes connection with the financial system of an enterprise and the payment system of a target bank according to the received connection establishment instruction; the data recording unit is used for recording bill data of the user; the data reading unit is used for reading the daily accounting data of the bank and the statement data of the enterprise; the comparison unit is used for comparing the statement of account data according to the received comparison instruction; the form generation unit is used for generating a transaction form.
Preferably, the demand evaluation module comprises a demand evaluation platform data center, a data management module and an evaluation module, the demand evaluation platform data center is used for collecting historical demand evaluation quantity and historical demand transaction quantity, the data management module is used for acquiring demand purchasing demand information in the mail purchasing demand document and updating a purchasing ledger, and the evaluation module is used for generating a purchasing demand evaluation report according to the demand information of demand purchasing and the historical purchasing data.
Preferably, the supply evaluation module includes a supply evaluation platform data center, a data management module and an evaluation module, the supply evaluation platform data center is used for collecting historical supply evaluation quantity and historical supply volume, the data management module is used for actively acquiring and updating enterprise supply volume, and the evaluation module is used for generating an evaluation report according to the vertical supply volume.
Preferably, the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the advertisement operation module is used for publishing and operating enterprise propaganda advertisements, the brand planning module is used for enterprise brand planning and establishment, the marketing promotion module is used for propaganda and promotion of enterprise products, the enterprise planning module is used for obtaining enterprise demand and enterprise product selling plan planning, and the management consultation module is used for processing client consultation when an enterprise generates and sells.
Preferably, the operation management system is connected with a scene function support system, and the scene function support system comprises an application program supervision module, a flow control module, a picture operation module, a browser module, an office and mail module, a server operation module and a data sharing module.
In summary, the invention mainly has the following beneficial effects:
the artificial intelligent automatic supply and demand accurate matching system based on big data analysis can make full use of big data and a supply chain to actively predict the supply and demand relationship, comprehensively consider and evaluate the supply and demand relationship according to the aspects of materials, inventory, company operation and the like, and can improve the competitiveness of an enterprise; the artificial intelligence automatic supply and demand precise matching system based on big data analysis can acquire information such as information of collected goods delivery information, logistics information and inventory information by adopting modules such as a supply chain management system, a logistics management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module and a supply receiving module, can adopt the operation management system to carry out operation management consultation, adopts the reconciliation system to carry out bill evaluation on past demand transactions and the like, and utilizes the demand evaluation module, the supply evaluation module, the demand dispatch module and the supply receiving module to carry out supply and demand relation prediction and evaluation.
Drawings
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, an artificial intelligence automatic supply and demand precise matching system based on big data analysis includes a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module, and a supply receiving module; the supply chain management system comprises an information management system for collecting goods delivery information, wherein the goods delivery information at least comprises goods information and delivery information, and the delivery information at least comprises delivery route information and a current position; the logistics management system comprises a receipt receiving unit, a record unit, a delivery unit, a real-time tracking unit and a logistics information sharing platform, and the inventory management system comprises a theme module, a creator module, a warehouse transferring-out module, a warehouse transferring-in module, a state module, a warehouse discharging management module, a warehouse discharging confirmation time module, a warehouse entering management module and a warehouse entering confirmation time module; the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the demand evaluation module is used for evaluating demands, the supply evaluation module is used for evaluating and calculating supply, and the reconciliation system is used for calculating, counting and reconciling calculation results of the demand evaluation module and the supply evaluation module and actual results of the demand dispatch module and the supply receiving module.
The system further comprises a supply and demand relation integrated management and evaluation module, wherein the supply and demand relation integrated management and evaluation module calculates the supply and demand relation through prediction dimensions, prediction spans, prediction intervals, prediction units, a quantitative prediction method, an index smoothing method and a regression analysis operation means.
The system comprises a supply chain strategy consulting unit, a supply chain strategy consulting unit, a supply chain strategy reporting unit, a supply chain strategy consulting unit, a supply chain strategy module, a unit and a unit, a unit resource integrating unit, a.
The account checking system comprises a connection contact unit, a data recording and comparing unit and a form generating unit, wherein the contact unit establishes connection with a financial system of an enterprise and a payment system of a target bank according to a received connection establishing instruction; the data recording unit is used for recording the bill data of the user; the data reading unit is used for reading the daily accounting data of the bank and the statement data of the enterprise; the comparison unit is used for comparing the statement of account data according to the received comparison instruction; the form generation unit is used for generating a transaction form.
The system comprises a demand evaluation module, a data management module and an evaluation module, wherein the demand evaluation module comprises a demand evaluation platform data center, the data management module and the evaluation module, the demand evaluation platform data center is used for collecting historical demand evaluation quantity and historical demand transaction quantity, the data management module is used for acquiring demand purchasing demand information in a mail purchasing demand document and updating a purchasing ledger, and the evaluation module is used for generating a purchasing demand evaluation report according to the demand purchasing demand information and historical purchasing data.
The supply evaluation module comprises a supply evaluation platform data center, a data management module and an evaluation module, wherein the supply evaluation platform data center is used for collecting historical supply evaluation quantity and historical supply volume, the data management module is used for actively acquiring and updating enterprise supply volume, and the evaluation module is used for generating an evaluation report according to the vertical supply volume.
The operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the advertisement operation module is used for publishing and operating enterprise propaganda advertisements, the brand planning module is used for enterprise brand planning and establishment, the marketing promotion module is used for propaganda promotion of enterprise products, the enterprise planning module is used for obtaining enterprise demand and enterprise product selling plan planning, and the management consultation module is used for processing client consultation when an enterprise generates and sells.
The operation management system is connected with a scene function supporting system, and the scene function supporting system comprises an application program supervision module, a flow control module, a picture operation module, a browser module, an office and mail module, a server operation module and a data sharing module.
The artificial intelligent automatic supply and demand accurate matching system based on big data analysis can actively predict the supply and demand relationship by fully utilizing big data and a supply chain, comprehensively consider and evaluate the supply and demand relationship according to the aspects of materials, inventory, company operation and the like, and can improve the competitiveness of enterprises; the artificial intelligence automatic supply and demand precise matching system based on big data analysis can acquire information such as information of collected goods delivery information, logistics information and inventory information by adopting modules such as a supply chain management system, a logistics management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module and a supply receiving module, can adopt the operation management system to carry out operation management consultation, adopts the reconciliation system to carry out bill evaluation on past demand transactions and the like, and utilizes the demand evaluation module, the supply evaluation module, the demand dispatch module and the supply receiving module to carry out supply and demand relation prediction and evaluation.
Example 2
Referring to fig. 1, an artificial intelligence automatic supply and demand precise matching system based on big data analysis includes a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module, and a supply receiving module; the supply chain management system comprises an information management system for collecting goods delivery information, wherein the goods delivery information at least comprises goods information and delivery information, and the delivery information at least comprises delivery route information and a current position; the logistics management system comprises a receipt receiving unit, a record unit, a delivery unit, a real-time tracking unit and a logistics information sharing platform, and the inventory management system comprises a theme module, a creator module, a warehouse transferring-out module, a warehouse transferring-in module, a state module, a warehouse discharging management module, a warehouse discharging confirmation time module, a warehouse entering management module and a warehouse entering confirmation time module; the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the demand evaluation module is used for evaluating demands, the supply evaluation module is used for evaluating and calculating supply, and the reconciliation system is used for calculating, counting and reconciling calculation results of the demand evaluation module and the supply evaluation module and actual results of the demand dispatch module and the supply receiving module.
Wherein the supply chain management system provides a database and a network in communication with the database, the database being accessible by at least one member of the supply chain via the network; the supply chain management system is used for uniformly managing orders, storage, logistics and customs declaration in a supply chain, and comprises system sub-modules, wherein the system sub-modules comprise a client module, a business module, a tax module, a storage module, a customs declaration module and a logistics module.
The logistics management system comprises a basic file module, an order management module, a scheduling management module and a logistics transportation process management module, wherein the basic file module is connected with an ERP management system of a customer through a network; the order management module is used for order management, and the early warning management module is used for order early warning; the dispatching management module is used for dispatching logistics information, and the logistics transportation process management module is used for logistics transportation management.
The artificial intelligent automatic supply and demand precise matching system based on big data analysis can acquire information such as information of collected goods distribution information, logistics information, inventory information and the like by adopting a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module, a supply receiving module and the like, can adopt the operation management system to carry out operation management consultation, adopts the reconciliation system to carry out bill evaluation on past demand transactions and the like, and utilizes the demand evaluation module, the supply evaluation module, the demand dispatch module and the supply receiving module to carry out forecast and evaluation on supply and demand relations; the artificial intelligence automatic supply and demand accurate matching system based on big data analysis makes full use of big data and a supply chain to actively predict the supply and demand relationship, comprehensively considers the supply and demand relationship according to the aspects of materials, inventory, company operation and the like, and can improve the competitiveness of enterprises.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides an automatic accurate matching system of supply and demand of artificial intelligence based on big data analysis which characterized in that: the system comprises a supply chain management system, a logistics management system, an inventory management system, an operation management system, a demand evaluation module, a supply evaluation module, a reconciliation system, a demand dispatch module and a supply receiving module; the supply chain management system comprises an information management system for collecting goods delivery information, wherein the goods delivery information at least comprises goods information and delivery information, and the delivery information at least comprises delivery route information and a current position; the logistics management system comprises a receipt receiving unit, a record unit, a delivery unit, a real-time tracking unit and a logistics information sharing platform, and the inventory management system comprises a theme module, a creator module, a warehouse transferring module, a state module, a warehouse discharging management module, a warehouse discharging confirmation time module, a warehouse warehousing management module and a warehouse warehousing confirmation time module; the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the demand evaluation module is used for evaluating demands, the supply evaluation module is used for evaluating and calculating supply, and the reconciliation system is used for calculating, counting and reconciling the calculation results of the demand evaluation module and the supply evaluation module and the actual results of the demand distribution module and the supply receiving module.
2. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the system also comprises a supply and demand relationship integrated management evaluation module, wherein the supply and demand relationship integrated management evaluation module calculates the supply and demand relationship through prediction dimensions, prediction spans, prediction intervals, prediction units, a quantitative prediction method, an exponential smoothing method and a regression analysis operation means.
3. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the system further comprises a department resource integration module, wherein the department resource integration module comprises an assessment unit, a performance reward unit, a supply chain strategy consultation unit, a real-name authentication module, an information acquisition module, an advantageous product declaration module, an advantageous product public notice issuing module, a product matching module and an online purchasing module.
4. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the account checking system comprises a connection contact unit, a data recording and comparing unit and a form generating unit, wherein the contact unit establishes connection with a financial system of an enterprise and a payment system of a target bank according to a received connection establishing instruction; the data recording unit is used for recording bill data of the user; the data reading unit is used for reading the daily accounting data of the bank and the statement data of the enterprise; the comparison unit is used for comparing the statement of account data according to the received comparison instruction; the form generation unit is used for generating a transaction form.
5. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the demand evaluation module comprises a demand evaluation platform data center, a data management module and an evaluation module, the demand evaluation platform data center is used for collecting historical demand evaluation quantity and historical demand transaction quantity, the data management module is used for acquiring demand purchasing demand information in a mail purchasing demand document and updating a purchasing ledger, and the evaluation module is used for generating a purchasing demand evaluation report according to the demand purchasing demand information and the historical purchasing data.
6. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the supply evaluation module comprises a supply evaluation platform data center, a data management module and an evaluation module, wherein the supply evaluation platform data center is used for collecting historical supply evaluation quantity and historical supply volume, the data management module is used for actively acquiring and updating enterprise supply volume, and the evaluation module is used for generating an evaluation report according to vertical supply volume.
7. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the operation management system comprises an advertisement operation module, a brand planning module, a marketing promotion module, an enterprise planning module and a management consultation module, wherein the advertisement operation module is used for publishing and operating enterprise propaganda advertisements, the brand planning module is used for enterprise brand planning and establishment, the marketing promotion module is used for propaganda and promotion of enterprise products, the enterprise planning module is used for obtaining enterprise demand and enterprise product selling plan planning, and the management consultation module is used for processing client consultation when an enterprise generates and sells.
8. The artificial intelligence automatic supply and demand precise matching system based on big data analysis as claimed in claim 1, wherein: the operation management system is connected with a scene function supporting system, and the scene function supporting system comprises an application program supervision module, a flow control module, a picture operation module, a browser module, an office and mail module, a server operation module and a data sharing module.
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| CN115626408A (en) * | 2022-11-03 | 2023-01-20 | 江苏中博通信有限公司 | Full life cycle management system of communication material intelligent supply chain |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968716A (en) * | 2012-11-26 | 2013-03-13 | 深圳中兴网信科技有限公司 | Account checking system and account checking method |
| CN103077443A (en) * | 2013-01-02 | 2013-05-01 | 长春宝钢钢材贸易有限公司 | Integral supply chain management system in steel industry and implementing method |
| CN104077674A (en) * | 2013-03-29 | 2014-10-01 | 桂寿平 | Quadruple net system and work method thereof |
| CN108062703A (en) * | 2017-12-18 | 2018-05-22 | 赵志勇 | A kind of cargo managing method, system and platform |
| CN110765780A (en) * | 2019-11-15 | 2020-02-07 | 国网电力科学研究院武汉南瑞有限责任公司 | Purchasing demand evaluation system and method based on semantic recognition |
| CN110969502A (en) * | 2018-09-29 | 2020-04-07 | 北京国双科技有限公司 | Electronic commerce platform and supply and demand matching method |
| CN112149981A (en) * | 2020-09-16 | 2020-12-29 | 上海中通吉网络技术有限公司 | Supply chain logistics management method and system of integrated platform |
| CN112581010A (en) * | 2020-12-25 | 2021-03-30 | 政和科技股份有限公司 | System and method for supply and demand butt joint matching of industrial products |
| CN112950267A (en) * | 2021-02-26 | 2021-06-11 | 北京京东乾石科技有限公司 | Information generation method and device, terminal equipment and storage medium |
-
2021
- 2021-09-01 CN CN202111022057.8A patent/CN113657690A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102968716A (en) * | 2012-11-26 | 2013-03-13 | 深圳中兴网信科技有限公司 | Account checking system and account checking method |
| CN103077443A (en) * | 2013-01-02 | 2013-05-01 | 长春宝钢钢材贸易有限公司 | Integral supply chain management system in steel industry and implementing method |
| CN104077674A (en) * | 2013-03-29 | 2014-10-01 | 桂寿平 | Quadruple net system and work method thereof |
| CN108062703A (en) * | 2017-12-18 | 2018-05-22 | 赵志勇 | A kind of cargo managing method, system and platform |
| CN110969502A (en) * | 2018-09-29 | 2020-04-07 | 北京国双科技有限公司 | Electronic commerce platform and supply and demand matching method |
| CN110765780A (en) * | 2019-11-15 | 2020-02-07 | 国网电力科学研究院武汉南瑞有限责任公司 | Purchasing demand evaluation system and method based on semantic recognition |
| CN112149981A (en) * | 2020-09-16 | 2020-12-29 | 上海中通吉网络技术有限公司 | Supply chain logistics management method and system of integrated platform |
| CN112581010A (en) * | 2020-12-25 | 2021-03-30 | 政和科技股份有限公司 | System and method for supply and demand butt joint matching of industrial products |
| CN112950267A (en) * | 2021-02-26 | 2021-06-11 | 北京京东乾石科技有限公司 | Information generation method and device, terminal equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 崔忠付等: "中国物流与采购信息化优秀案例集", 31 August 2018, 中国财富出版社, pages: 570 - 571 * |
| 魏学将等: "智慧物流概论", 31 May 2020, 机械工业出版社, pages: 233 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115626408A (en) * | 2022-11-03 | 2023-01-20 | 江苏中博通信有限公司 | Full life cycle management system of communication material intelligent supply chain |
| CN115626408B (en) * | 2022-11-03 | 2023-11-14 | 江苏中博通信有限公司 | Full life cycle management system of communication material intelligent supply chain |
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