CN111352945A

CN111352945A - Inventory supply chain management system, method, device, equipment and medium

Info

Publication number: CN111352945A
Application number: CN202010128276.3A
Authority: CN
Inventors: 王攀
Original assignee: Hangzhou Netease Zaigu Technology Co Ltd
Current assignee: Hangzhou Netease Zaigu Technology Co Ltd
Priority date: 2020-02-28
Filing date: 2020-02-28
Publication date: 2020-06-30

Abstract

The embodiment of the invention provides an inventory supply chain management system, method, device, equipment and medium, which can reduce the labor cost and improve the use efficiency of the system and the inventory management efficiency of commodities. The system comprises: the ex-warehouse prediction module is used for predicting the estimated ex-warehouse quantity of the target object within a first preset time length by utilizing a predetermined ex-warehouse prediction algorithm; a supply target determination module, configured to determine a supply target for the target object within the first preset duration based on the estimated quantity of warehouses and the current inventory quantity of the target object; and the inventory management module is used for managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

Description

Inventory supply chain management system, method, device, equipment and medium

Technical Field

The present invention relates to the field of supply chain management, and in particular, to a system, a method, an apparatus, a device, and a medium for inventory supply chain management.

Background

At present, in electronic commerce, commodities are sold not only in an online environment but also in an online environment, and a stock replenishment system in the related art is mainly used for positioning and serving in the traditional retail industry and cannot solve the problem of complexity in the electronic commerce environment.

In the related art inventory replenishment system, the real-time feedback data is not timely synchronized with the information in the system, the service personnel use efficiency is low, an end-to-end inventory management solution is not provided, higher labor cost is required, and the inventory management efficiency of commodities is low.

Disclosure of Invention

The embodiment of the invention provides an inventory supply chain management system, method, device, equipment and medium, which are used for reducing the labor cost and improving the use efficiency of the system and the inventory management efficiency of commodities.

In a first aspect, an embodiment of the present invention provides an inventory supply chain management system, where the system includes:

the ex-warehouse prediction module is used for predicting the estimated ex-warehouse quantity of the target object within a first preset time length by utilizing a predetermined ex-warehouse prediction algorithm;

the supply target determining module is used for determining a supply target for the target object within a first preset time length based on the estimated quantity of the stocks and the current stock quantity of the target object;

and the inventory management module is used for managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

According to the inventory supply chain management system provided by the embodiment of the invention, the ex-warehouse prediction module flexibly predicts the estimated ex-warehouse quantity of the target object within the first preset time by using the predetermined ex-warehouse prediction algorithm, so that the estimated ex-warehouse quantity of the target object is prevented from being abnormal. The supply target determining module automatically determines a supply target of the target object within a first preset time length based on the estimated warehouse-out quantity and the current inventory quantity of the target object, and the inventory management module manages the inventory of the target object according to the current inventory quantity, the estimated warehouse-out quantity and the supply target of the target object, so that the full coverage of the complete business process of commodity specified sales plan, purchase plan and arrival management is realized, the labor cost is reduced, the use efficiency of the system is improved, the automatic replenishment and inventory fine management of commodities is realized, and the commodity management efficiency is improved.

In a possible implementation, the predetermined ex-warehouse prediction algorithm is a prediction algorithm input by a user, or a prediction algorithm with the highest prediction accuracy rate in a plurality of pre-stored historical prediction algorithms with verified prediction results.

The inventory supply chain management system provided by the embodiment of the invention provides a self-defined algorithm model interface, a user can input an algorithm for predicting the estimated warehouse-out quantity of commodities through the model interface, the estimated warehouse-out quantity of the target object is predicted by using the prediction algorithm input by the user, the prediction efficiency of the estimated warehouse-out quantity of the target object is improved, the prediction efficiency is adapted to an application scene of the prediction algorithm provided by the user, or the predicted warehouse-out quantity of the target object is predicted by using the prediction algorithm with the highest prediction accuracy rate in a history prediction algorithm containing a plurality of verified prediction results, and the prediction accuracy is improved.

In a possible implementation manner, the ex-warehouse prediction module is further configured to mark the target object as an abnormal object when it is determined that a difference between the estimated ex-warehouse quantity of the target object and the actual ex-warehouse quantity is greater than a preset quantity threshold within a second preset time period, receive the ex-warehouse quantity of the abnormal object input by the user, and update the estimated ex-warehouse quantity of the target object by using the ex-warehouse quantity of the abnormal object input by the user.

In the inventory supply chain management system provided by the embodiment of the invention, the ex-warehouse prediction module can also determine whether the target object is an abnormal object, when the target object is determined to be the abnormal object, the ex-warehouse quantity of the target object is flexibly adjusted or corrected, the abnormal condition is quickly processed, and the ex-warehouse prediction module takes the ex-warehouse quantity input by the user as the estimated ex-warehouse quantity of the target object, so that the estimated ex-warehouse quantity of the target object is effective in real time and is used for calculating in the system.

In a possible implementation manner, the ex-warehouse prediction module is further configured to, after the target object is marked as an abnormal object, obtain and present ex-warehouse information of the abnormal object, where the ex-warehouse information includes one or more of the following: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

According to the inventory supply chain management system provided by the embodiment of the invention, the ex-warehouse prediction module provides decision information for adjusting or correcting abnormal data for a user in a data visualization mode by displaying the ex-warehouse information of the abnormal object, so that the user is helped to quickly correct the abnormal data.

In one possible implementation, the provisioning target module is further configured to: and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

According to the inventory supply chain management system provided by the embodiment of the invention, the estimated warehouse-out quantity of the target object is updated, and the updated estimated warehouse-out quantity of the target object takes effect in real time to act on the determination process of the target object supply target in the system, so that the accuracy of the supply target is improved, and the management efficiency of commodities is improved.

In one possible implementation, the supply targeting module is specifically configured to: and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

According to the inventory supply chain management system provided by the embodiment of the invention, the inventory management model corresponding to each target object determines the supply target of the target object in a differentiated manner, so that the commodity inventory management efficiency and the fineness are improved.

In one possible implementation, the supply targeting module is further configured to: and judging whether the parameters of the inventory management model are changed in real time, and if the parameters of the inventory management model are changed, determining the supply target of the target object by using the inventory management model after the parameters are changed based on the estimated inventory quantity and the current inventory quantity of the target object.

According to the inventory supply chain management system provided by the embodiment of the invention, a user can flexibly adjust the inventory management model of the target object, the changed inventory management parameters take effect in real time, and the supply target process of the target object is determined by the scope of action.

In one possible embodiment, the inventory management module is further configured to: and determining the expected warehousing number of the target object on each warehousing date based on the supply target.

The inventory supply chain management system provided by the embodiment of the invention predicts the warehousing arrangement of the target object in advance after determining the supply target of the target object, and determines the warehousing quantity of each time node of the target object in the warehousing process based on the supply target.

In a possible implementation manner, the inventory management module further notifies the user of reserving a storage space for the target object in the warehouse on each warehousing date according to the determined expected warehousing number of the target object on each warehousing date.

In the inventory supply chain management system provided by the embodiment of the invention, the inventory management module informs the user of warehousing arrangement of the target object, provides decision information for reasonably ensuring the arrangement of warehouse warehousing tally and production capacity, realizes inventory management of a full link from purchasing to delivery, and realizes the cooperative operation of supply chain purchasing and warehouse management.

In one possible embodiment, the inventory management module is further configured to: and when the inventory quantity of the target object at the preset moment is determined to be smaller than a first preset inventory threshold value or the inventory quantity is larger than a second preset inventory threshold value according to the current inventory quantity and the expected inventory quantity of the target object, informing a user to adjust the inventory date of the target object, wherein the second preset inventory threshold value is larger than the first preset inventory threshold value.

According to the inventory supply chain management system provided by the embodiment of the invention, the inventory quantity of the target object at the preset moment is smaller than the first preset inventory threshold value or larger than the second preset inventory threshold value, so that the problem of insufficient warehouse tally capacity is caused, and the inventory management module informs the user of the abnormal condition, so that the problem of insufficient warehouse tally capacity can be exposed in advance, the user is reminded to effectively utilize the warehouse operation manpower, and the risk of bin explosion is avoided. In a second aspect, an embodiment of the present invention provides an inventory supply chain management method, including:

predicting the estimated ex-warehouse quantity of the target object within a first preset time length by using a predetermined ex-warehouse prediction algorithm;

determining a supply target for the target object within the first preset time length based on the estimated quantity of warehouses and the current inventory quantity of the target object;

and managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

In one possible embodiment, the method further comprises:

when the difference value between the estimated ex-warehouse quantity and the actual ex-warehouse quantity of the target object is determined to be larger than a preset quantity threshold value within a second preset time length, the target object is marked as an abnormal object, the ex-warehouse quantity of the abnormal object input by a user is received, and the estimated ex-warehouse quantity of the target object is updated by using the ex-warehouse quantity of the abnormal object input by the user.

In one possible embodiment, the method further comprises:

after the target object is marked as an abnormal object, acquiring and displaying ex-warehouse information of the abnormal object, wherein the ex-warehouse information comprises one or more of the following information: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

In one possible embodiment, the method further comprises:

and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

In one possible embodiment, the determining the supply target for the target object within the first preset time period includes:

and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

In one possible embodiment, the method further comprises:

and judging whether the parameters of the inventory management model are changed in real time, and if the parameters of the inventory management model are judged to be changed, determining a supply target of the target object by using the inventory management model after the parameters are changed based on the estimated inventory quantity and the current inventory quantity of the target object.

In one possible embodiment, the method further comprises:

and determining the expected warehousing number of the target object on each warehousing date based on the supply target.

In one possible embodiment, the method further comprises:

and informing a user to reserve a storage space of the target object in the warehouse on each warehousing date according to the determined expected warehousing quantity of the target object on each warehousing date.

In one possible embodiment, the method further comprises: and when the inventory quantity of the target object at the preset moment is determined to be smaller than a first preset inventory threshold value or the inventory quantity is greater than a second preset inventory threshold value according to the current inventory quantity and the estimated inventory quantity of the target object, informing a user of adjusting the inventory date of the target object, wherein the second preset inventory threshold value is greater than the first preset inventory threshold value.

In a third aspect, an embodiment of the present invention provides an inventory supply chain management device, where the device includes:

the ex-warehouse prediction unit is used for predicting the predicted ex-warehouse quantity of the target object within a first preset time length by utilizing a predetermined ex-warehouse prediction algorithm;

a supply target determination unit, configured to determine a supply target for the target object within the first preset duration based on the estimated quantity of warehouses and the current quantity of warehouses of the target object;

and the inventory management unit is used for managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

In a possible implementation manner, the ex-warehouse prediction unit is further configured to mark the target object as an abnormal object when it is determined that a difference between the estimated ex-warehouse quantity of the target object and the actual ex-warehouse quantity is greater than a preset quantity threshold within a second preset time period, receive the ex-warehouse quantity of the abnormal object input by the user, and update the estimated ex-warehouse quantity of the target object by using the ex-warehouse quantity of the abnormal object input by the user.

In a possible implementation manner, the ex-warehouse prediction unit is further configured to, after the target object is marked as an abnormal object, obtain and present ex-warehouse information of the abnormal object, where the ex-warehouse information includes one or more of the following: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

In one possible embodiment, the supply-target unit is further configured to: and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

In a possible implementation, the supply target determination unit is specifically configured to: and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

In a possible implementation, the supply target determination unit is further configured to: and judging whether the parameters of the inventory management model are changed in real time, and if the parameters of the inventory management model are judged to be changed, determining a supply target of the target object by using the inventory management model after the parameters are changed based on the estimated inventory quantity and the current inventory quantity of the target object.

In one possible embodiment, the inventory management unit is further configured to: and determining the expected warehousing number of the target object on each warehousing date based on the supply target.

In a possible implementation manner, the inventory management unit is further configured to notify a user that a storage space for the target object is reserved in the warehouse on each warehousing date according to the determined expected warehousing number of the target object on each warehousing date.

In one possible embodiment, the inventory management unit is further configured to: and when the inventory quantity of the target object at the preset moment is determined to be smaller than a first preset inventory threshold value or the inventory quantity is greater than a second preset inventory threshold value according to the current inventory quantity and the estimated inventory quantity of the target object, informing a user of adjusting the inventory date of the target object, wherein the second preset inventory threshold value is greater than the first preset inventory threshold value.

In a fourth aspect, an embodiment of the present invention provides an inventory supply chain management device, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the inventory supply chain management method as provided by the second aspect.

In a fifth aspect, an embodiment of the present invention provides a storage medium, wherein when the instructions in the storage medium are executed by a processor of an inventory-supply-chain management device, the storage medium enables the inventory-supply-chain management device to execute the inventory-supply-chain management method as provided in the second aspect.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention and are not to be construed as limiting the invention.

FIG. 1 is a schematic diagram of an application scenario provided by an embodiment of the present invention;

FIG. 2 is a block diagram of an inventory supply chain management system;

FIG. 3 is an illustration of an inventory supply chain management system interface, according to an exemplary embodiment;

FIG. 4 illustrates yet another inventory supply chain management system interface, according to an exemplary embodiment;

FIG. 5 illustrates yet another inventory supply chain management system interface, according to an exemplary embodiment;

FIG. 6 illustrates yet another inventory supply chain management system interface, according to an exemplary embodiment;

FIG. 7 is a functional block diagram illustrating a supply targeting module in an inventory supply chain management system in accordance with an exemplary embodiment;

FIG. 8 illustrates an inventory management model parameter change interface in an inventory supply chain management system, according to an exemplary embodiment;

FIG. 9 illustrates a supply targeting interface for targeting objects in an inventory supply chain management system, according to an exemplary embodiment;

FIG. 10 illustrates a supply targeting module functional interface in an inventory supply chain management system, according to an exemplary embodiment;

FIG. 11 illustrates an inventory supply chain management system inventory management module managing an inventory of target objects in accordance with an exemplary embodiment;

FIG. 12 illustrates an interface for an inventory supply chain management system to push supply targets to suppliers in accordance with an exemplary embodiment;

FIG. 13 is a flow diagram of an inventory supply chain management method;

FIG. 14 is a schematic diagram of an inventory supply chain management device;

FIG. 15 is a schematic diagram of an inventory supply chain management device;

fig. 16 is a program product diagram of an inventory supply chain management system according to an embodiment of the present invention.

Detailed Description

The principles and spirit of the present invention will be described with reference to a number of exemplary embodiments. It is understood that these embodiments are given solely for the purpose of enabling those skilled in the art to better understand and to practice the invention, and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to an embodiment of the invention, an inventory supply chain management system is provided.

In this document, it is to be understood that any number of elements in the figures are provided by way of illustration and not limitation, and any nomenclature is used for differentiation only and not in any limiting sense.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.

Summary of The Invention

The inventor finds that the existing system for automatic inventory replenishment is generally realized by obtaining future sales forecast through simple statistical fitting according to historical sales information, and judging whether the current inventory meets future requirements or not through a trigger type replenishment point method by combining determined sales order information to generate purchase suggestions. For example, assuming that the product is a black S-code T-shirt, taking an existing stock replenishment system X as an example, the X system obtains a future sales prediction according to simple statistical linear fitting according to the sales number of historical T-shirts, and assuming that the current week number is 2019, week 30, future sales of the T-

shirts

31, 32, 33, 34 and 35 are predicted to be 100 pieces each week, and the total demand is 500 pieces. The system triggers the daily checking of the inventory, if the inventory of the store is 350 on the day of the week of 30, and the store sets the safe inventory to 100, the replenishment is triggered to be 500- (350-.

The X system is mainly used for positioning and serving the traditional retail industry and cannot solve the problem of complex stock replenishment in the electronic commerce environment. The commodities are sold on line and off line in the electronic commerce environment, the sales fluctuation is large, and the difficulty of sales prediction and inventory management is higher. The X system sales plan has low making efficiency, and the adjustment feedback and the information are not timely synchronized; the order check cycle is long, the order response is slow, and no end-to-end inventory management solution is provided. The X system does not generally have a visual data monitoring and control module, the degree of data visualization controllability is not high, the service personnel use efficiency is low, the labor cost is high, and the commodity inventory management efficiency is poor.

In view of the above, the embodiment of the present invention provides an inventory supply chain management system, which provides a modularized solution, such as inputting data for sales prediction from an ex-warehouse prediction module, determining a procurement target (procurement plan) for inventory by a supply target determination module, and outputting the inventory data from an inventory management module to a production module downstream of a supply chain, so as to reduce labor cost and improve utilization efficiency and product inventory management efficiency.

Having described the general principles of the invention, various non-limiting embodiments of the invention are described in detail below.

Application scene overview

Fig. 1 is a schematic view of an application scenario according to an embodiment of the present invention. The user 10 logs in the web server 12 through a client installed in the user device 11, where the client may be a browser of a web page or an application client installed in a mobile user device, such as a mobile phone, a tablet computer, or the like.

The user equipment 11 and the network server 12 are communicatively connected through a network, which may be a local area network, a wide area network, or the like. The user device 11 may be a portable device (e.g., a mobile phone, a tablet, a notebook, etc.) or a Personal Computer (PC), and the network server 12 may be any device capable of providing internet services.

The network server 12 predicts the estimated warehouse-out quantity of the target object within a first preset time period by using a predetermined warehouse-out prediction algorithm, determines a supply target for the target object within the first preset time period based on the estimated warehouse-out quantity and the current inventory quantity of the target object, and manages the inventory of the target object according to the current inventory quantity, the estimated warehouse-out quantity and the supply target of the target object. The web server 12 presents the inventory management information for the target object to the user 10.

In the embodiment of the present invention, the network server 12 uses a predetermined ex-warehouse prediction algorithm as a prediction algorithm input by the user, or a prediction algorithm with the highest prediction accuracy among historical prediction algorithms of a plurality of pre-stored verified prediction results.

In the embodiment of the present invention, when the network server 12 determines that the difference between the estimated ex-warehouse quantity of the target object and the actual ex-warehouse quantity is greater than the preset quantity threshold value within the second preset time period, the target object is marked as an abnormal object, the ex-warehouse quantity of the abnormal object input by the user 10 through the user equipment 11 is received, and the estimated ex-warehouse quantity of the target object is updated by using the ex-warehouse quantity of the abnormal object input by the user 10 through the user equipment 11.

After marking the target object as an abnormal object, the network server 12 acquires and presents ex-warehouse information of the abnormal object to the user 10 through the user equipment 11, wherein the ex-warehouse information comprises one or more of the following information: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

Exemplary device

In the following, in connection with the application scenario of fig. 1, a data query method according to an exemplary embodiment of the present invention is described with reference to fig. 2. It should be noted that the above application scenarios are only presented to facilitate understanding of the spirit and principles of the present invention, and the embodiments of the present invention are not limited in this respect. Rather, embodiments of the present invention may be applied to any scenario in which it is used.

As shown in fig. 2, an inventory supply chain management system according to an embodiment of the present invention may include an ex-warehouse prediction module 201, a supply target determination module 202, and an inventory management module 203.

The ex-warehouse prediction module 201 is configured to predict an estimated ex-warehouse quantity of the target object within a first preset time period by using a predetermined ex-warehouse prediction algorithm.

The supply target determining module 202 is configured to determine a supply target for the target object within a first preset time period based on the estimated quantity of the warehouse and the current quantity of the inventory of the target object.

The inventory management module 203 is configured to manage the inventory of the target object according to the current inventory amount, the estimated inventory amount, and the supply target of the target object.

In a specific implementation, the ex-warehouse prediction module 201 may predict the estimated ex-warehouse quantity of the target object within the first preset time period by using a predetermined ex-warehouse prediction algorithm, where the estimated ex-warehouse quantity of the target object may reflect the expected sales quantity of the target object within the first preset time period.

In an actual application scenario, the predetermined ex-warehouse prediction algorithm is a prediction algorithm input by a user, or a prediction algorithm with the highest prediction accuracy rate in a plurality of pre-stored historical prediction algorithms with verified prediction results.

When the ex-warehouse prediction module 201 predicts the estimated ex-warehouse quantity of the target object within the first preset time, prediction can be performed by using a prediction algorithm input by a user, or by using a prediction algorithm which is stored in advance and has been subjected to prediction result verification, among the prediction algorithms, the prediction algorithm with the highest prediction accuracy is used. The ex-warehouse prediction module can provide a standard algorithm input interface and support a user to access a self-defined algorithm model. The ex-warehouse prediction module 201 in the system provided by the embodiment of the invention also comprises a plurality of prediction algorithms, and the prediction results of the algorithms are verified, so that the prediction can be performed by using the prediction algorithm with the highest accuracy verified by the verified prediction results, the prediction accuracy of the predicted ex-warehouse quantity of the target object is improved, and the user is assisted to efficiently finish the specification of the predicted sales quantity of the target object.

In a possible implementation manner, the inventory supply chain management system provided in the embodiment of the present invention may provide a function of manual review by a user, and may increase a business process of determining the estimated quantity of the target objects by the user, and the inventory supply chain management system interface shown in fig. 3 according to an exemplary embodiment includes a batch selection target object area 301, a first preset duration selection area 302, and a manual determination option 303. The user does not need to operate the target objects one by one any more, and the management and operation efficiency of the user on the target objects is greatly improved on the basis of ensuring the accuracy of the estimated warehouse-out quantity.

The e-commerce environment is various, the commodity selling condition is complex, and the ex-warehouse prediction module 201 is further configured to mark the target object as an abnormal object when it is determined that the difference value between the estimated ex-warehouse quantity of the target object and the actual ex-warehouse quantity is greater than the preset quantity threshold value within a second preset time period, receive the ex-warehouse quantity of the abnormal object input by the user, and update the estimated ex-warehouse quantity of the target object by using the ex-warehouse quantity of the abnormal object input by the user.

In specific implementation, the ex-warehouse prediction module 201 can automatically recognize abnormal conditions, recognize and monitor the abnormal condition of the sales fluctuation of the target object, compare the difference value between the estimated ex-warehouse quantity and the actual ex-warehouse quantity of the target object in the second preset time period with the preset quantity threshold value, mark the target object as an abnormal object when the difference value is greater than the preset quantity threshold value, the mark that the target object is the abnormal object can be rapidly screened by a user, update the estimated ex-warehouse quantity of the target object input by the user into the estimated ex-warehouse quantity of the target object, and synchronize the correction data of the abnormal object to the system by the user.

FIG. 4 illustrates an inventory supply chain management system interface including a tag 401 for a target object as an exception object, according to an exemplary embodiment. In the embodiment of the present invention, while the target object is marked as an abnormal object, the abnormal type of the target object may also be determined, and the abnormal type is displayed to the user, for example, the display information 402 of the abnormal type in fig. 3. Three types of exceptions are listed in FIG. 4, including future stock outages, promotional campaigns, and sales volume fluctuations.

In specific implementation, after the system marks the target object as an abnormal object, the system may further locate the abnormal problem, and provide online analysis service for the user in a visual manner, for example, fig. 5 shows an inventory supply chain management system interface according to an exemplary embodiment, which shows a visual interface, and shows trends of the current year sales quantity, the current year actual sales quantity, and the estimated sales quantity (estimated warehouse quantity) in a line graph 501, and the assistant decision information 502, such as historical promotional activity data and current promotional activity information, to help the user to quickly correct the estimated warehouse quantity of the target object.

In an actual application scenario, Stock Keeping Unit (SKU) and Standard Product Unit (SPU) modes can be adopted for inventory management of target objects, the SKU mode is taken as an example, in the process of handling abnormal objects, rapid correction is performed on problematic objects, SKUs which need to be adjusted in selection are completed in an interface provided by a system, dragging operation is performed by a user, batch correction is performed on abnormal objects, and compared with the prior art that the abnormal objects need to be uploaded to the system after offline correction, convenience of system operation is greatly improved, and use efficiency of the system is improved. Fig. 6 shows an inventory supply chain management system interface according to an exemplary embodiment, which includes an area 601 formed after a user drag operation, and can modify data in the area 601 uniformly, thereby implementing batch modification, shortening the time of modification operation, and improving the efficiency of modification operation.

The supply target determining module 202 determines a supply target for the target object within a first preset time period based on the estimated inventory quantity and the current inventory quantity of the target object, and determines a purchase plan for each commodity according to the sales plan of the commodity in combination with the current inventory condition of the commodity, for example, in the form of a purchase suggestion, a purchase demand sheet, a purchase execution sheet, and the like.

In one possible implementation, the supply target determining module 202 is specifically configured to: and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

Fig. 7 is a functional structure diagram of a supply targeting module in an inventory supply chain management system according to an exemplary embodiment, which includes a model calculation function module 701, in which an inventory management model of a preconfigured target object, such as a safety inventory model, a library-to-control model, a cost control model, and the like, is stored. And determining a supply target of the target object according to the estimated inventory quantity of the target object and the current inventory quantity of the target exclusive share by using a pre-configured inventory management model of the target object.

If the user makes adjustments or modifications to the pre-configured inventory management model, the supply targeting module 202 is further configured to: and judging whether the parameters of the inventory management model are changed in real time, and if the parameters of the inventory management model are changed, determining the supply target of the target object by using the inventory management model after the parameters are changed based on the estimated inventory quantity and the current inventory quantity of the target object.

As shown in fig. 7, the parameter control function module 702 allows a user to query and modify parameters of the inventory management model, such as the number of days of safe inventory, the number of days of turnover of inventory, and the frequency of economic procurement, and update the changed parameters of the inventory management model to the current pre-configured inventory management model, and determine the supply target of the target object by using the inventory management model after the parameters are changed. Fig. 8 shows a parameter change interface of an inventory management model in an inventory supply chain management system according to an exemplary embodiment, where parameters that can be adjusted in parameter configuration include number of days 801 of safety inventory, replenishment frequency 802, production cycle 803, and procurement cycle 804. The number of safety stock days 801 is a time length for ensuring normal sale or supply of the target object, the replenishment frequency 802 is an interval week number for generating a target object supply target, the production period 803 is a time length for producing commodities by a target object supplier, and the purchase period 804 is a time length for confirming the purchase quantity of the target object to the target object supplier until the target object enters the warehouse. The effect of parameter adjustments on the number of days a target object can be sold can also be shown in a line graph visualization in fig. 8.

In one possible implementation, the supply target module 202 is further configured to: and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

During specific implementation, the user may adjust the estimated warehouse quantity of the target object, synchronize the adjusted estimated warehouse quantity to the supply target determining module 202, re-determine the supply target of the target object, and implement data feedback and information synchronization of the system.

The supply objective module 202, when re-determining the supply objective of the target object, may provide the user with decision information that assists in determining the supply objective of the target object, such as decision information for selling inventory at the end of the term, scheduling inventory in transit, planning inventory in transit, number of days available for selling inventory, and the like. Fig. 9 illustrates a supply target interface for determining a target object in an inventory supply chain management system according to an exemplary embodiment, a menu 901 for managing a supply target of a target object illustrates decision information decision data for assisting in determining a supply target of a target object, and a warehousing date display area 902 in the supply target and a supply target display area 903 of each warehousing date.

In one possible implementation, if the procurement executive has a question about the estimated quantity of warehouses, the supply target determining module 202 in the system provided by the embodiment of the invention can adjust the estimated quantity of warehouses and submit the updated estimated quantity of warehouses, so that the update of the estimated quantity of warehouses takes effect in real time, and the supply target of the target object is updated in real time. Fig. 10 illustrates a functional interface of a supply target determination module in an inventory supply chain management system according to an exemplary embodiment, which includes a modification area 1001 of the estimated warehousing quantity of the target object and a supply target display area 1002 of each updated warehousing date.

In specific implementation, the inventory management module 203 may predict the arrival schedule of the target object supply target and the target object warehousing arrangement in advance according to the current inventory quantity, the estimated warehouse-out quantity and the supply target, for example, determine the warehousing arrangement from two months to each warehouse in the future of the commodity granularity, manage the inventory of the target object, ensure that the inventory level of each warehouse is healthy, arrange the warehousing tally and production capacity reasonably, and realize the inventory management from the procurement to the production to the delivery link.

In a practical application scenario, the inventory management module 203 is further configured to: and determining the expected warehousing number of the target object on each warehousing date based on the supply target. The coordination of the receiving capacity and the capacity of the warehouse is realized, the problem that the coordination of supply chain industry purchasing and warehouse departments in the prior art is difficult is solved, for example, the warehouse detail prediction of each warehouse in two months in the future can be realized through the inventory management module 203, the expected warehouse entry quantity of each warehouse entry date is determined, the timely adjustment and typesetting of the warehouse departments are coordinated, the operation manpower of the warehouse can be effectively utilized, the risk of warehouse explosion is reduced, and the problem that the capacity of the warehouse tallies is insufficient is solved.

The inventory management module 203 can determine the expected warehousing number of the target object on each warehousing date through a batch delivery model, a purchasing warehouse-dividing model and an arrival forecasting model, and generate decision information which is convenient for reasonable arrangement of warehousing and tallying capacity, such as arrival forecasting details, scheduling adjustment suggestions, warehouse warehousing suggestions and the like. It should be noted that the model parameters in the batch delivery model, the procurement binning model and the arrival forecasting model, such as the number of days in safety stock, the number of days in target stock and the number of days in maximum stock, may be configured in advance or adjusted or modified in real time. Also, in the process of managing the inventory of the target object by the inventory management module 203, the estimated inventory number of the target object and the supply target are not allowed to be modified.

The inventory management module 203 may also notify the user to reserve a storage space for the target object in the warehouse on each warehousing date according to the determined expected warehousing number of the target object on each warehousing date. The notified user may be an inventory tally clerk or the like using the system provided in embodiments of the present invention. The system can inform the system, and the informing content can also be sent to other equipment or terminals in a wireless communication mode, so that the inventory management efficiency and the instantaneity are improved.

In one possible embodiment, the inventory management module 203 is further configured to: and when the inventory quantity of the target object at the preset moment is determined to be smaller than a first preset inventory threshold value or the inventory quantity is larger than a second preset inventory threshold value according to the current inventory quantity and the expected inventory quantity of the target object, informing a user to adjust the inventory date of the target object, wherein the second preset inventory threshold value is larger than the first preset inventory threshold value.

In specific implementation, due to inventory management service requirements in an actual application scenario, a target object may have an abnormal inventory quantity, a condition for determining that the abnormal inventory quantity of the target object is abnormal may be configured in advance, for example, the current inventory quantity and the expected inventory quantity of the target object, the inventory quantity of the target object at a preset time is smaller than a first preset inventory threshold or the inventory quantity is larger than a second preset inventory threshold, when the inventory quantity of the target object is determined to be abnormal, a user is notified to adjust and manage the inventory of the target object, for example, the inventory date of the target object is modified, and the overall inventory level of a warehouse is managed in time, so as to avoid a situation of stock shortage or warehouse explosion due to lost sales, where the first preset inventory threshold and the second preset inventory threshold may be determined in advance according to the warehouse capacity.

Fig. 11 illustrates an inventory management interface of an inventory supply chain management system according to an exemplary embodiment, showing a predicted warehousing quantity 1101 of each warehousing date, a warehouse capacity curve 1102, and a predicted warehousing quantity to warehouse capacity difference 1103 of each warehousing date for managing the inventory of a target object. Whether the target object inventory quantity is larger than a first preset inventory threshold value or smaller than a second preset inventory threshold value can be determined according to the difference value of the warehousing dates.

In a possible implementation mode, in order to solve the problem that delivery flexibility of the existing supply chain industry is poor and delivery management cannot be adjusted in time according to time and sales conditions, the inventory management module 203 captures actual target object sales volume and latest estimated warehousing quantity, deduces by combining current inventory and in-transit conditions, and intelligently adjusts inventory management once the risk of shortage or delay is found, so that the inventory level is always in the range of target inventory turnover days (days from taking inventory/product warehousing to consumption and sales).

The inventory supply chain management system provided by the embodiment of the invention can also access a supplier of the target object, and a supplier user can receive a supply target or a purchase list of the inventory supply chain management system user. FIG. 12 illustrates an interface for an inventory supply chain management system to push supply targets to suppliers according to an example embodiment. The method simplifies the process of purchasing the supplier by the user and avoids the condition that the data of the supply target or the purchasing list are inconsistent.

Exemplary method

FIG. 13 illustrates an exemplary inventory supply chain management method, including the steps of:

step 1301, predicting the estimated ex-warehouse quantity of the target object within a first preset time length by using a predetermined ex-warehouse prediction algorithm.

Step 1302, determining a supply target for the target object within the first preset time length based on the estimated quantity of warehouses and the current inventory quantity of the target object.

And 1303, managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

It should be noted that the pre-stored historical prediction algorithm of the plurality of verified prediction results may be pre-stored in a system, an apparatus, or a device that implements the method provided by the embodiment of the method.

In one possible embodiment, the method further comprises:

Exemplary device

Having described the manner in which the exemplary embodiments of the present invention are described, reference is next made to fig. 14 for an inventory supply chain management apparatus in accordance with an exemplary embodiment of the present invention.

As shown in fig. 14, based on the same inventive concept, an embodiment of the present invention further provides an inventory supply chain management apparatus, including:

the ex-warehouse prediction unit 1401 is used for predicting the estimated ex-warehouse quantity of the target object within a first preset time length by using a predetermined ex-warehouse prediction algorithm;

a supply target determining unit 1402, configured to determine a supply target for the target object within the first preset duration based on the estimated quantity of warehouses and the current quantity of warehouses of the target object;

an inventory management unit 1403, configured to manage the inventory of the target object according to the current inventory amount, the estimated inventory amount, and the supply target of the target object.

In a possible implementation manner, the ex-warehouse prediction unit 1401 is further configured to mark the target object as an abnormal object when it is determined that a difference value between the estimated ex-warehouse quantity of the target object and the actual ex-warehouse quantity is greater than a preset quantity threshold value within a second preset time period, receive the ex-warehouse quantity of the abnormal object input by the user, and update the estimated ex-warehouse quantity of the target object by using the ex-warehouse quantity of the abnormal object input by the user.

In a possible implementation manner, the ex-warehouse prediction unit 1401 is further configured to, after the target object is marked as an abnormal object, obtain and present ex-warehouse information of the abnormal object, where the ex-warehouse information includes one or more of the following: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

In one possible implementation, the supply target unit 1402 is further configured to: and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

In a possible implementation, the supply target determining unit 1402 is specifically configured to: and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

In a possible implementation, the supply target determination unit 1402 is further configured to: and judging whether the parameters of the inventory management model are changed in real time, and if the parameters of the inventory management model are judged to be changed, determining a supply target of the target object by using the inventory management model after the parameters are changed based on the estimated inventory quantity and the current inventory quantity of the target object.

In a possible implementation, the inventory management unit 1403 is further configured to: and determining the expected warehousing number of the target object on each warehousing date based on the supply target.

In a possible implementation manner, the inventory management unit 1403 is further configured to notify the user that the storage space for the target object is reserved in the warehouse on each warehousing date according to the determined expected warehousing number of the target object on each warehousing date.

In a possible implementation, the inventory management unit 1403 is further configured to: and when the inventory quantity of the target object at the preset moment is determined to be smaller than a first preset inventory threshold value or the inventory quantity is greater than a second preset inventory threshold value according to the current inventory quantity and the estimated inventory quantity of the target object, informing a user of adjusting the inventory date of the target object, wherein the second preset inventory threshold value is greater than the first preset inventory threshold value.

The inventory supply chain management device 150 according to this embodiment of the invention is described below with reference to fig. 15. The inventory supply chain management device shown in fig. 15 is only an example, and should not bring any limitation to the function and the range of use of the embodiment of the present invention.

As shown in fig. 15, the inventory supply chain management device 150 may be embodied in the form of a general purpose computing device, which may be a terminal device, for example. The components of the inventory supply chain management device 150 may include, but are not limited to: the at least one processing unit 151, the at least one memory unit 152, and a bus 153 connecting the various system components (including the memory unit 152 and the processing unit 151).

Bus 153 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a processor, or a local bus using any of a variety of bus architectures.

The storage unit 152 may include readable media in the form of volatile memory, such as Random Access Memory (RAM)521 and/or cache memory 1522, and may further include Read Only Memory (ROM) 1523.

The storage unit 152 may also include a program/utility 1525 having a set (at least one) of program modules 1524, such program modules 1524 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

The inventory supply chain management apparatus 150 may also communicate with one or more external devices 154 (e.g., a keyboard, a pointing device, etc.), with one or more devices that enable a user to interact with the inventory supply chain management apparatus 150, and/or with any device (e.g., a router, a modem, etc.) that enables the inventory supply chain management apparatus 150 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 155. Also, the inventory supply chain management device 150 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 156. As shown, the network adapter 156 communicates with the other modules of the inventory supply chain management device 150 via the bus 153. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the inventory supply chain management device 150, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Exemplary program product

In some possible embodiments, the various aspects of the present invention may also be implemented as a program product, which includes program code for causing a terminal device to perform the steps of the modules of the inventory supply chain management apparatus according to the various exemplary embodiments of the present invention described in the above section "exemplary method" of this specification when the program product runs on the terminal device, for example, the terminal device may perform the steps of predicting the estimated quantity of the warehouses of the target objects within a first preset time period by using a predetermined warehouse-out prediction algorithm; determining a supply target for the target object within a first preset time length based on the estimated quantity of the warehouse and the current inventory quantity of the target object; and managing the inventory of the target object according to the current inventory quantity, the estimated inventory quantity and the supply target of the target object.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

As shown in fig. 16, a program product 160 for inventory supply chain management is depicted that may employ a portable compact disc read only memory (CD-ROM) and include program code and may be run on a terminal device, such as a personal computer, in accordance with an embodiment of the present invention. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).

It should be noted that although several modules or sub-modules of the system are mentioned in the above detailed description, such partitioning is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.

Moreover, although the operations of the modules of the system of the present invention are depicted in the drawings in a particular order, this does not require or imply that these operations must be performed in this particular order, or that all of the illustrated operations must be performed, to achieve desirable results. Additionally or alternatively, certain operations may be omitted, operations combined into one operation execution, and/or operations broken down into multiple operation executions.

While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. An inventory supply chain management system, the system comprising:

a supply target determination module, configured to determine a supply target for the target object within the first preset duration based on the estimated quantity of warehouses and the current inventory quantity of the target object;

2. The system of claim 1, wherein the predetermined ex-warehouse prediction algorithm is a prediction algorithm input by a user or a prediction algorithm with the highest prediction accuracy in a plurality of pre-stored historical prediction algorithms with verified prediction results.

3. The system of claim 1,

the ex-warehouse prediction module is further configured to mark the target object as an abnormal object when it is determined that a difference value between the estimated ex-warehouse quantity and the actual ex-warehouse quantity of the target object is greater than a preset quantity threshold value within a second preset time period, receive the ex-warehouse quantity of the abnormal object input by a user, and update the estimated ex-warehouse quantity of the target object by using the ex-warehouse quantity of the abnormal object input by the user.

4. The system of claim 3,

the ex-warehouse prediction module is further configured to, after the target object is marked as an abnormal object, obtain and display ex-warehouse information of the abnormal object, where the ex-warehouse information includes one or more of the following: historical contemporaneous ex warehouse quantity, current actual warehouse quantity and estimated warehouse quantity.

5. The system of claim 1, wherein the supply target module is further configured to: and acquiring the estimated warehouse quantity of the target object in real time, and if the estimated warehouse quantity of the target object is updated, re-determining the supply target of the target object based on the updated estimated warehouse quantity and the current inventory quantity of the target object.

6. The system of claim 1, wherein the supply targeting module is specifically configured to: and determining a supply target of the target object based on the estimated inventory quantity and the current inventory quantity of the target object by utilizing a pre-configured inventory management model of the target object.

7. An inventory supply chain management method, the method comprising:

8. An inventory supply chain management device, the device comprising:

9. An inventory supply chain management device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the inventory supply chain management method of any of claims 1 to 7.

10. A storage medium, wherein instructions in the storage medium, when executed by a processor of an inventory-supply-chain management device, enable the inventory-supply-chain management device to perform the inventory-supply-chain management method of any one of claims 1 to 7.