CN111382973A - Intelligent store replenishment system based on traditional business of dealer - Google Patents
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Abstract
The invention specifically discloses an intelligent store replenishment system based on traditional business of a dealer, which belongs to the technical field of intelligent replenishment and is characterized in that: the intelligent store replenishment system based on traditional business of dealers comprises a transportation management module, a data processing module, a replenishment decision module, a replenishment model calculation module and a replenishment cooperation module, and is scientific and reasonable and safe and convenient to use.
Description
Technical Field
The invention relates to the field of intelligent replenishment, in particular to an intelligent replenishment system for stores based on traditional business of dealers.
Background
The traditional sales service scene of the dealers in China is that the salesman visits stores according to the route and goes to store for sale. However, the traditional sales mode has low working efficiency, the number of shops visited and made by the service staff every day is generally about 10, and the visiting cost is high.
The traditional sales chain cannot timely know the change of the supply and demand relationship, and in the sales process, real-time information cannot be mastered, so that greater benefit cannot be obtained, and the sales success rate can be possibly influenced. After the store confirms the order, the department responsible for transportation cannot get information feedback in time, which causes delivery delay and has great influence on sales.
In order to solve these problems, it is necessary to design a system for intelligent replenishment of an store, which has the following advantages:
(1) the supply and demand are synchronously mastered to comprehensively insights the whole supply chain so as to make a plan which can be implemented, the replenishment implementation work of short-term order placement and inventory construction can be optimized, the process set and perfect execution can be realized, and the situations of shortage of goods and excess cost are reduced to the maximum extent.
(2) The system can pertinently solve the inventory problem in the current supply and sale channels, effectively improve the inventory management level, reduce the inventory cost, establish a WeChat ordering channel, accelerate the goods circulation speed and realize the effect of quickly delivering the goods.
Disclosure of Invention
The invention aims to provide an intelligent store replenishment system based on traditional business of a dealer, which aims to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a store intelligence replenishment system based on dealer tradition business which characterized in that: the store intelligent replenishment system based on the traditional business of the dealer comprises a transportation management module, a data processing module, a replenishment decision module, a replenishment model calculation module and a replenishment cooperation module.
The data processing module is connected with the replenishment model calculation module, the replenishment model calculation module is connected with the replenishment cooperation module, the replenishment cooperation module is connected with the replenishment decision module, and the replenishment decision module is connected with the transportation management module.
The data processing module is used for collecting long-term transaction data between the dealer and the store and other data influencing sales and inputting the data into the database; the replenishment model calculation module establishes a digital model through processing basic data and carries out simulation operation on the replenishment state; the replenishment cooperation is used for analyzing according to the simulation operation result of the calculation model and providing a suitable replenishment order for the store to select; the replenishment decision module is used for making a delivery plan, so that economic loss caused by the phenomenon of retention or shortage of goods is reduced; the transportation management module is used for monitoring all influence factors in the transportation process and guaranteeing the transportation to be rapid.
As a further optimization, the data processing module comprises a data acquisition unit, a database, a programmable controller, a data classification unit and a data transmission unit;
the data acquisition unit is used for acquiring related data, structures and parameters, wherein the data comprises inventory data, sales data and product data, the structures comprise supply chain structures and channel structures, and the parameters comprise region parameters, store parameters, product parameters, industry parameters and time-saving parameters; the database is used for storing the data acquired by the data acquisition unit; the data classification unit is used for combing data in the database to prevent overlong running time during data extraction; the data transmission unit is used for extracting data in the database and providing convenience for establishing a model, and the programmable controller is used for controlling each unit in the system.
As a further optimization, the replenishment model calculation module comprises a calculation model unit, a replenishment data accounting unit and an inventory detection unit;
the internal calculation model of the calculation model unit comprises an inventory model, a replenishment model and a probability model, wherein the inventory model is used for calculating the number of products in the warehouse, the replenishment model is used for calculating whether the stores need replenishment, the probability model is used for calculating the sales service level of the stores, and the calculation model unit utilizes the data in the database to establish a model for simulating and calculating the sales condition of each store;
the replenishment data accounting unit compares the replenishment data accounted in the simulation operation with the replenishment data accounted in the real life, and the accuracy of calculation simulation is improved through continuous correction;
the inventory detection unit is used for detecting the amount of inventory in the warehouse.
As a further optimization, the inventory detection unit comprises an induction sensor, an analog-to-digital converter and an early warning module;
the early warning module comprises an early warning processing unit and a signal lamp;
the induction sensor is electrically connected with an analog-to-digital converter, the analog-to-digital converter is connected with a programmable controller, the programmable controller is connected with an early warning processing unit, and the early warning processing unit is connected with a signal lamp;
the induction sensor is used for detecting the quantity of products in the warehouse, the analog-to-digital converter is used for converting analog signals into digital signals, and the early warning module is used for prompting whether goods in the warehouse are in short supply or exceed standards.
As a further optimization, the replenishment cooperation module comprises a data analysis unit, a demand prediction analysis unit, a service formulation unit and a data feedback unit;
the data analysis unit is used for comparing and analyzing the data obtained in the replenishment model calculation module with the actually obtained data; the demand prediction analysis unit predicts store demands according to analysis results provided by the data analysis unit; the business formulation unit is used for formulating orders for store demands analyzed by the demand prediction analysis unit, and can also provide various paths for distribution and selection of a plurality of stores; the data feedback system is used for correcting the analysis and made plan, and transmitting the collected error results to the replenishment model calculation module to improve the model algorithm.
As a further optimization, the replenishment decision module comprises the steps of making a purchasing plan and establishing a mobile phone operation channel;
the purchasing plan is made for supplementing a proper goods source, so that the product is prevented from being lost or lacking goods; the establishment of the mobile phone operation channel is used for rapidly ordering after the cooperation relationship is established.
The mobile phone operation channel utilizes the WeChat as an operation platform to carry out goods circulation, and the mobile phone operation channel comprises the steps of paying attention to the WeChat public number, authenticating identity, sending order requirement and feeding back problems;
the attention WeChat public number is used for searching the attention public number through a WeChat client or displaying a two-dimensional code of the WeChat public number for scanning to pay attention;
the identity authentication is that when a user sends an identity authentication request, information confirmation data and a two-dimensional code for data encryption are sent to the user through an information encryption program in the WeChat public number, and the user enters an order page after the identity authentication of the user is completed;
the order sending requirement is that after the user completes identity authentication, the user selects goods displayed on the WeChat and confirms to place an order, the WeChat platform transmits order information to the inside of the processor through data encryption, and the processor analyzes the order requirement and sends the order requirement to the transportation management module to transport the goods;
the problem feedback is that a problem feedback column is arranged on the WeChat public number, and problems possibly occurring in transportation are fed back. So as to be convenient for maintaining problems occurring in the transportation process and improve the satisfaction degree of customers.
As a further optimization, the transportation management module comprises a personnel management unit, a vehicle transportation unit and a warehouse storage unit;
the personnel management unit is used for managing vehicle transportation personnel, and can inform individuals after receiving order information, so as to quickly respond to transportation; the vehicle transportation unit is used for judging the road traffic jam condition and screening out the fastest path; the warehouse storage unit is used for judging which warehouse around the store is suitable for storing the goods, and the goods can be transported to the warehouse in advance and then transported.
Compared with the prior art, the invention has the beneficial effects that:
(1) the data acquisition unit is used for recording the information on the market in real time, the first-hand supply and demand information is mastered to comprehensively insights the whole supply chain, so that a plan which can be implemented is made through the replenishment decision module, short-term order issuing and replenishment implementation work constructed by inventory can be optimized, flow set and perfect execution can be realized, and the occurrence of shortage and excess cost conditions is reduced to the maximum extent.
(2) The system can pertinently solve the inventory problem in the current supply and sale channels, effectively improve the inventory management level, reduce the inventory cost, establish a WeChat ordering channel, accelerate the goods circulation speed and realize the effect of quickly delivering the goods.
(3) The system can be flexibly configured for different replenishment demands, different replenishment routes are provided for different logistics paths of different items, and different replenishment periods, replenishment types and lowest and highest stocks can be set for different items according to different regions and replenishment structures.
(4) The replenishment data in the database is analyzed and processed through the demand prediction analysis unit to generate replenishment demands of different stores, then order demands of the stores are generated according to the business specifying unit, and finally a purchase order and a replenishment plan meeting network, supplier and transportation constraints are generated according to the replenishment decision module, so that a dealer is helped to replenish and purchase, and the replenishment management and control are improved.
Drawings
FIG. 1 is a block diagram of an intelligent store replenishment system based on conventional business of dealers according to the present invention;
FIG. 2 is a diagram of a structure of an inventory detecting unit of an intelligent store replenishment system based on a conventional business of a dealer according to the present invention;
FIG. 3 is a flow chart of an inventory detection unit of the intelligent store replenishment system based on the conventional business of the dealer according to the present invention;
FIG. 4 is a flow chart of an intelligent store replenishment system based on traditional business of dealers according to the present invention;
fig. 5 is a diagram of the operation steps of a mobile phone of an intelligent store replenishment system based on the traditional business of a dealer.
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 (b): as shown in fig. 1-5, an intelligent replenishment system for stores based on traditional business of dealers comprises a transportation management module, a data processing module, a replenishment decision module, a replenishment model calculation module and a replenishment cooperation module;
the data processing module is connected with the replenishment model calculation module, the replenishment model calculation module is connected with the replenishment cooperation module, the replenishment cooperation module is connected with the replenishment decision module, and the replenishment decision module is connected with the transportation management module;
the data processing module is used for collecting long-term transaction data between the dealer and the store and other data influencing sales and inputting the data into the database; the replenishment model calculation module establishes a digital model by processing basic data and carries out simulation operation on the replenishment state; the replenishment cooperation is used for analyzing according to the simulation operation result of the calculation model and providing a suitable replenishment order for the store to select; the replenishment decision module is used for making a delivery plan, so that economic loss caused by the phenomenon of cargo retention or shortage of goods is reduced; the transportation management module is used for monitoring all influence factors in the transportation process and guaranteeing the transportation to be rapid.
The data processing module comprises a data acquisition unit, a database, a programmable controller, a data classification unit and a data transmission unit;
the data acquisition unit is used for acquiring related data, structures and parameters, wherein the data comprises inventory data, sales data and product data, the structures comprise supply chain structures and channel structures, and the parameters comprise region parameters, store parameters, product parameters, industry parameters and time-saving parameters; the database is used for storing the data acquired by the data acquisition unit; the data classification unit is used for combing data in the database to prevent overlong running time during data extraction; the data transmission unit is used for extracting data in the database and providing convenience for establishing a model, and the programmable controller is used for controlling each unit in the system. The data processing module provides a basis for analog calculation by classifying and analyzing the data, and can input information in real time and update the data.
The replenishment model calculation module comprises a calculation model unit, a replenishment data accounting unit and an inventory detection unit;
the calculation model unit comprises an internal calculation model, a stock model, a replenishment model and a probability model, wherein the stock model is used for calculating the number of products in the warehouse, the replenishment model is used for calculating whether the stores need replenishment, the probability model is used for calculating the sales service level of the stores, and the calculation model unit utilizes the data in the database to establish a model to simulate and calculate the sales condition of each store;
the inventory management system is arranged in the inventory model, when the goods enter the warehouse, the quantity of the goods is recorded, the goods are numbered, and the goods storage area is divided. The realization is followed tracks of each kind of goods in real time, prevents that the goods from stacking and be difficult for seeking, what and the position of understanding goods that can understand.
The replenishment model carries out big data operation in the transaction activities carried out by calling the past shops in the database, simulates and calculates the commodity circulation of the stores every day, checks the commodities lacked by the stores through the simulation calculation, and judges whether the stores need to replenish the commodities or lack the commodities.
The probability model carries out statistical accounting on the service level of each store by tracking and surveying most store customers, and ensures the maximization of economic benefits by selecting stores with high service level for cooperation.
The replenishment data accounting unit compares the replenishment data accounted in the simulation operation with the replenishment data accounted in the real life, and the accuracy of calculation simulation is improved through continuous correction;
the stock detection unit is used for detecting the stock inside the warehouse.
A large amount of transaction data of the stores and the sellers are subjected to simulation calculation through the replenishment model calculation module, and the sales condition of each store is simulated, so that the supply and demand are known, and the efficiency of the salesman is improved.
The inventory detection unit comprises an induction sensor, an analog-to-digital converter and an early warning module;
the early warning module comprises an early warning processing unit and a signal lamp;
the induction sensor is electrically connected with the analog-to-digital converter, the analog-to-digital converter is connected with the programmable controller, the programmable controller is connected with the early warning processing unit, and the early warning processing unit is connected with the signal lamp;
the inductive sensor is used for detecting the quantity of products in the warehouse, the analog-to-digital converter is used for converting analog signals into digital signals, and the early warning module is used for prompting whether goods in the warehouse are in short supply or exceed standards. The number of the remaining goods in the warehouse can be monitored through the module, and decision judgment is further influenced.
The replenishment cooperation module comprises a data analysis unit, a demand prediction analysis unit, a service formulation unit and a data feedback unit;
the data analysis unit is used for comparing and analyzing the data obtained in the replenishment model calculation module with the actually obtained data; the demand prediction analysis unit predicts store demands according to analysis results provided by the data analysis unit; the business formulation unit is used for formulating orders for store demands analyzed by the demand prediction analysis unit, and can also provide various paths for distribution and selection of a plurality of stores; the data feedback system is used for correcting the analyzed and made plan, and transmitting the collected error result to the replenishment model calculation module to improve the model algorithm. And in the process of continuously accumulating data for a long time, data exchange feedback is carried out in real time, optimization and improvement are continuously carried out, and errors are reduced.
The replenishment decision module comprises a purchasing plan making module and a mobile phone operation channel;
the purchasing plan is made for supplementing a proper goods source, so that the product is prevented from being lost or lacking goods; and establishing a mobile phone operation channel for rapidly ordering after establishing the cooperation relationship. And a WeChat ordering channel is established, so that the goods circulation speed is increased, and the effect of quickly delivering the goods is realized.
The mobile phone operation channel utilizes the WeChat as an operation platform to carry out goods circulation, and the steps of the mobile phone operation channel comprise paying attention to WeChat public numbers, identity authentication, order sending requirements and problem feedback;
the attention WeChat public number is the two-dimensional code which is used for searching the attention public number or showing the WeChat public number through a WeChat client side to scan for attention;
the identity authentication is that when a user sends an identity authentication request, information confirmation data and a two-dimensional code for data encryption are sent to the user through an information encryption program in the WeChat public number, and the user enters an order page after the identity authentication of the user is completed;
the order requirement is sent, namely after the user completes identity authentication, the user selects goods displayed on the WeChat, confirms to place the order, the WeChat platform transmits order information to the inside of the processor through data encryption, and the processor analyzes the order requirement and sends the order requirement to the transportation management module to transport the goods;
the problem feedback is that a problem feedback column is arranged on the WeChat public number, and problems possibly occurring in the transportation process are fed back. So as to be convenient for maintaining problems occurring in the transportation process and improve the satisfaction degree of customers.
After a user scans the two-dimensional code and pays attention to the WeChat public number, the WeChat public number is verified to be a shop through identity authentication, the shop enters a goods selection platform, after the user places an order, the order information is displayed by a processor, a worker loads the goods and then sends the goods to the shop, if errors occur in the transportation process or the goods are damaged, the goods can be corrected in real time through WeChat feedback, and the satisfaction degree of the user is improved.
The transportation management module comprises a personnel management unit, a vehicle transportation unit and a warehouse storage unit;
the personnel management unit is used for managing vehicle transportation personnel, and can inform individuals after receiving order information, so as to quickly respond to transportation; the vehicle transportation unit is used for judging the road traffic jam condition and screening out the fastest path; the warehouse storage unit is used for judging which warehouse around the store is suitable for storing the goods, and the goods can be transported to the warehouse in advance and then transported. Greatly saving time and increasing efficiency.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (7)
1. The utility model provides a store intelligence replenishment system based on dealer tradition business which characterized in that: the intelligent store replenishment system based on the traditional business of the dealer comprises a transportation management module, a data processing module, a replenishment decision module, a replenishment model calculation module and a replenishment cooperation module;
the data processing module is connected with a replenishment model calculation module, the replenishment model calculation module is connected with a replenishment cooperation module, the replenishment cooperation module is connected with a replenishment decision module, and the replenishment decision module is connected with a transportation management module;
the data processing module is used for collecting long-term transaction data between the dealer and the store and other data influencing sales and inputting the data into the database; the replenishment model calculation module establishes a digital model through processing basic data and carries out simulation operation on the replenishment state; the replenishment cooperation is used for analyzing according to the simulation operation result of the calculation model and providing a suitable replenishment order for the store to select; the replenishment decision module is used for making a delivery plan, so that economic loss caused by the phenomenon of retention or shortage of goods is reduced; the transportation management module is used for monitoring all influence factors in the transportation process and guaranteeing the transportation to be rapid.
2. The intelligent restocking system for store based on dealer legacy service of claim 1, wherein: the data processing module comprises a data acquisition unit, a database, a programmable controller, a data classification unit and a data transmission unit;
the data acquisition unit is used for acquiring related data, structures and parameters, wherein the data comprises inventory data, sales data and product data, the structures comprise supply chain structures and channel structures, and the parameters comprise region parameters, store parameters, product parameters, industry parameters and time-saving parameters; the database is used for storing the data acquired by the data acquisition unit; the data classification unit is used for combing data in the database to prevent overlong running time during data extraction; the data transmission unit is used for extracting data in the database and providing convenience for establishing a model, and the programmable controller is used for controlling each unit in the system.
3. The intelligent restocking system for store based on dealer legacy service of claim 1, wherein: the replenishment model calculation module comprises a calculation model unit, a replenishment data accounting unit and an inventory detection unit;
the internal calculation model of the calculation model unit comprises an inventory model, a replenishment model and a probability model, wherein the inventory model is used for calculating the number of products in the warehouse, the replenishment model is used for calculating whether the stores need replenishment, the probability model is used for calculating the sales service level of the stores, and the calculation model unit utilizes the data in the database to establish a model for simulating and calculating the sales condition of each store;
the replenishment data accounting unit compares the replenishment data accounted in the simulation operation with the replenishment data accounted in the real life, and the accuracy of calculation simulation is improved through continuous correction;
the inventory detection unit is used for detecting the amount of inventory in the warehouse.
4. The intelligent restocking system for store based on dealer legacy service of claim 3, wherein: the inventory detection unit comprises an induction sensor, an analog-to-digital converter and an early warning module;
the early warning module comprises an early warning processing unit and a signal lamp;
the induction sensor is electrically connected with an analog-to-digital converter, the analog-to-digital converter is connected with a programmable controller, the programmable controller is connected with an early warning processing unit, and the early warning processing unit is connected with a signal lamp;
the induction sensor is used for detecting the quantity of products in the warehouse, the analog-to-digital converter is used for converting analog signals into digital signals, and the early warning module is used for prompting whether goods in the warehouse are in short supply or exceed standards.
5. The intelligent restocking system for store based on dealer legacy service of claim 1, wherein: the replenishment cooperation module comprises a data analysis unit, a demand prediction analysis unit, a service formulation unit and a data feedback unit;
the data analysis unit is used for comparing and analyzing the data obtained in the replenishment model calculation module with the actually obtained data; the demand prediction analysis unit predicts store demands according to analysis results provided by the data analysis unit; the business formulation unit is used for formulating orders for store demands analyzed by the demand prediction analysis unit, and can also provide various paths for distribution and selection of a plurality of stores; the data feedback system is used for correcting the analysis and made plan, and transmitting the collected error results to the replenishment model calculation module to improve the model algorithm.
6. The intelligent restocking system for store based on dealer legacy service of claim 1, wherein: the replenishment decision module comprises a purchasing plan making module and a mobile phone operation channel;
the purchasing plan is made for supplementing a proper goods source, so that the product is prevented from being lost or lacking goods; the establishment of the mobile phone operation channel is used for rapidly ordering after the cooperation relationship is established;
the mobile phone operation channel utilizes the WeChat as an operation platform to carry out goods circulation, and the mobile phone operation channel comprises the steps of paying attention to the WeChat public number, authenticating identity, sending order requirement and feeding back problems;
the attention WeChat public number is used for searching the attention public number through a WeChat client or displaying a two-dimensional code of the WeChat public number for scanning to pay attention;
the identity authentication is that when a user sends an identity authentication request, information confirmation data and a two-dimensional code for data encryption are sent to the user through an information encryption program in the WeChat public number, and the user enters an order page after the identity authentication of the user is completed;
the order sending requirement is that after the user completes identity authentication, the user selects goods displayed on the WeChat and confirms to place an order, the WeChat platform transmits order information to the inside of the processor through data encryption, and the processor analyzes the order requirement and sends the order requirement to the transportation management module to transport the goods;
the problem feedback is that a problem feedback column is arranged on the WeChat public number, and problems possibly occurring in transportation are fed back.
7. The intelligent restocking system for store based on dealer legacy service of claim 1, wherein: the transportation management module comprises a personnel management unit, a vehicle transportation unit and a warehouse storage unit;
the personnel management unit is used for managing vehicle transportation personnel, and can inform individuals after receiving order information, so as to quickly respond to transportation; the vehicle transportation unit is used for judging the road traffic jam condition and screening out the fastest path; the warehouse storage unit is used for judging which warehouse around the store is suitable for storing the goods, and the goods can be transported to the warehouse in advance and then transported.
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| CN112036802A (en) * | 2020-11-04 | 2020-12-04 | 北京每日优鲜电子商务有限公司 | Article replenishment information display method and device, electronic equipment and readable medium |
| CN112184101A (en) * | 2020-09-11 | 2021-01-05 | 湖北迈睿达供应链股份有限公司 | Real-time replenishment system for parallel sequencing of multiple parts |
| CN112598096A (en) * | 2020-12-15 | 2021-04-02 | 广州若羽臣科技股份有限公司 | Electronic price tag updating method and system based on commodity big data |
| CN113269457A (en) * | 2021-06-03 | 2021-08-17 | 珠海市浩磊科技有限公司 | Commodity sales and supply integrated management system and method based on big data |
| CN113627860A (en) * | 2021-10-11 | 2021-11-09 | 南京我乐家居智能制造有限公司 | Warehouse and warehousing integrated intelligent management system and management method based on artificial intelligence |
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| CN114548871A (en) * | 2022-02-24 | 2022-05-27 | 深圳九章数据科技有限公司 | Big data driven supply chain AI intelligence replenishment system |
| CN115330501A (en) * | 2022-10-17 | 2022-11-11 | 山东维点技术有限公司 | Sale flow integrated management system based on internet of things supervision |
| CN115496549A (en) * | 2022-08-22 | 2022-12-20 | 上海网商电子商务有限公司 | Order management system based on machine learning |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114118503A (en) * | 2020-08-26 | 2022-03-01 | 上海顺如丰来技术有限公司 | Supply chain inventory optimization method, device, equipment and storage medium |
| CN112184101A (en) * | 2020-09-11 | 2021-01-05 | 湖北迈睿达供应链股份有限公司 | Real-time replenishment system for parallel sequencing of multiple parts |
| CN112036802A (en) * | 2020-11-04 | 2020-12-04 | 北京每日优鲜电子商务有限公司 | Article replenishment information display method and device, electronic equipment and readable medium |
| CN112598096B (en) * | 2020-12-15 | 2021-07-20 | 广州若羽臣科技股份有限公司 | Electronic price tag updating method and system based on commodity big data |
| CN112598096A (en) * | 2020-12-15 | 2021-04-02 | 广州若羽臣科技股份有限公司 | Electronic price tag updating method and system based on commodity big data |
| CN113269457A (en) * | 2021-06-03 | 2021-08-17 | 珠海市浩磊科技有限公司 | Commodity sales and supply integrated management system and method based on big data |
| CN113627860A (en) * | 2021-10-11 | 2021-11-09 | 南京我乐家居智能制造有限公司 | Warehouse and warehousing integrated intelligent management system and management method based on artificial intelligence |
| CN114548871A (en) * | 2022-02-24 | 2022-05-27 | 深圳九章数据科技有限公司 | Big data driven supply chain AI intelligence replenishment system |
| CN114548871B (en) * | 2022-02-24 | 2024-01-23 | 深圳九章数据科技有限公司 | Big data driven supply chain AI intelligent replenishment system |
| CN115496549A (en) * | 2022-08-22 | 2022-12-20 | 上海网商电子商务有限公司 | Order management system based on machine learning |
| CN115330501A (en) * | 2022-10-17 | 2022-11-11 | 山东维点技术有限公司 | Sale flow integrated management system based on internet of things supervision |
| CN117196479A (en) * | 2023-09-18 | 2023-12-08 | 陕西众维信息科技有限公司 | Goods supplementing method, device, equipment and storage medium based on EPR system |
| CN117252608A (en) * | 2023-09-28 | 2023-12-19 | 广州市宝联信息科技有限公司 | Commodity distribution platform system |
| CN117252608B (en) * | 2023-09-28 | 2024-03-26 | 广州市宝联信息科技有限公司 | Commodity distribution platform system |
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