Automatic commodity replenishment method, device and equipment, storage medium and product

Abstract

The invention relates to the technical field of warehouse logistics, in particular to an automatic commodity replenishment method and device, equipment, a storage medium and a product. Historical commodity sales data of a store is analyzed to obtain commodity attribute levels and historical commodity sales data of the store in multiple dimensions; the method comprises the following steps: establishing a plurality of commodity attribute levels, constructing a level conversion table among the plurality of commodity attribute levels to represent historical sales proportions among the commodities, and finally traversing the replenishment amount of each commodity according to historical commodity sales data and a level conversion coefficient, thereby establishing a unified automatic commodity replenishment framework, improving the economic benefit of automatic commodity replenishment, and improving the commodity replenishment efficiency. The technical problem that the replenishment amount and the economic benefit cannot be accurately controlled during manual replenishment of commodities in a store in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of warehousing logistics technology, and in particular to a commodity automatic replenishment method, device, equipment, storage medium and product. Background Art

[0002] Currently, all goods in chain supermarkets or shopping malls on the market are replenished through the same supply chain. When a store needs to be replenished, it is usually ordered manually by staff. The order quantity is determined by the purchaser based on personal experience, or a fixed number of goods is replenished periodically. The lack of unified management can easily lead to high inventory after promotions, ultimately leading to economic losses and low economic returns.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a method, device, equipment, storage medium and product for automatic replenishment of goods, aiming to solve the technical problem in the prior art that when stores manually replenish goods, they cannot accurately control the replenishment quantity and economic benefits.

[0005] To achieve the above object, the present invention provides a method for automatic replenishment of goods, the method comprising the following steps:

[0006] In response to a product automatic replenishment request, obtain historical product sales data of a target store;

[0007] Analyze the historical commodity sales data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels;

[0008] Construct a level conversion table between multiple product attribute levels;

[0009] The replenishment quantity of each commodity is determined according to the historical commodity sales data and the grade conversion coefficient.

[0010] Optionally, determining the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient includes:

[0011] Determine the grade conversion coefficients between the commodity attribute grades of multiple dimensions in the grade conversion table;

[0012] Determining the estimated sales volume of each commodity based on the historical commodity sales volume data and the grade conversion coefficient;

[0013] Obtain the current inventory of each product in the target store;

[0014] The replenishment quantity of each commodity is determined according to the estimated sales volume and the current inventory.

[0015] Optionally, determining the estimated sales volume of each commodity according to the historical commodity sales volume data and the grade conversion coefficient includes:

[0016] Traversing the commodities to be estimated in the target store;

[0017] Determine a target commodity attribute level of the commodity to be estimated;

[0018] The estimated sales volume of the commodity to be estimated is determined according to the level conversion coefficient corresponding to the attribute level of the target commodity and the historical commodity sales volume data.

[0019] Optionally, determining the estimated sales volume of the commodity to be estimated according to the level conversion coefficient corresponding to the attribute level of the target commodity and the historical commodity sales volume data includes:

[0020] Querying whether there is target sales data corresponding to the target product attribute level in the historical product sales data;

[0021] If so, the estimated sales volume of the commodity to be estimated is determined according to the target sales volume data and the level conversion coefficient corresponding to the target sales volume data.

[0022] Optionally, the commodity automatic replenishment method further includes:

[0023] If it does not exist, extract the attribute level of the target product in each dimension;

[0024] Query the sales data of the same level corresponding to the attribute level through the historical commodity sales data;

[0025] Determine the same-level conversion coefficient corresponding to the same-level sales data;

[0026] The estimated sales volume of the commodity to be estimated is determined according to the same-level sales volume data and the corresponding same-level sales volume data.

[0027] Optionally, the commodity attribute level includes at least: promotion type level, brand discount level and display level;

[0028] The promotion type level, brand discount level and display level are each divided into at least three sub-levels.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also proposes a commodity automatic replenishment device, the commodity automatic replenishment device comprising:

[0030] An acquisition module, used to obtain historical commodity sales data of a target store in response to a commodity automatic replenishment request;

[0031] An analysis module, used to analyze the historical commodity sales data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels;

[0032] A construction module, used for constructing a level conversion table between multiple commodity attribute levels;

[0033] The replenishment module is used to determine the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient.

[0034] In addition, to achieve the above-mentioned purpose, the present invention also proposes an automatic commodity replenishment device, which includes: a memory, a processor, and an automatic commodity replenishment program stored in the memory and executable on the processor, wherein the automatic commodity replenishment program is configured to implement the steps of the automatic commodity replenishment method described above.

[0035] In addition, to achieve the above-mentioned purpose, the present invention further proposes a storage medium, on which a commodity automatic replenishment program is stored, and when the commodity automatic replenishment program is executed by a processor, the steps of the commodity automatic replenishment method as described above are implemented.

[0036] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the automatic commodity replenishment method as described above are implemented.

[0037] One or more technical solutions proposed in the present invention have at least the following technical effects: the present invention analyzes the historical commodity sales data of the store to obtain the commodity attribute levels and historical commodity sales data of the store in multiple dimensions, and then constructs a level conversion table between multiple commodity attribute levels to characterize the historical sales proportions of each commodity. Finally, the replenishment quantity of each commodity is traversed according to the historical commodity sales data and the level conversion coefficient, thereby establishing a unified commodity automatic replenishment architecture, improving the economic benefits of automatic commodity replenishment, and avoiding the technical problem in the prior art that the replenishment quantity and economic benefits cannot be accurately controlled when the store manually replenishes the commodities. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0040] Figure 1 This is a flow chart of a first embodiment of the method for automatic replenishment of goods of the present invention;

[0041] Figure 2 This is a schematic diagram of an example of the classification of commodity attribute levels in an embodiment of the commodity automatic replenishment method of the present invention;

[0042] Figure 3 A schematic diagram of a sub-level architecture of a promotion type level in an embodiment of a method for automatic replenishment of goods of the present invention;

[0043] Figure 4 A schematic diagram of a sub-level architecture of a brand discount level in an embodiment of a method for automatic replenishment of goods of the present invention;

[0044] Figure 5 A schematic diagram of a sub-level architecture of a display level in an embodiment of a method for automatic product replenishment of the present invention;

[0045] Figure 6 A schematic diagram of one example of a grade conversion table in an embodiment of the automatic product replenishment method of the present invention;

[0046] Figure 7 This is a flow chart of a second embodiment of the method for automatic replenishment of goods according to the present invention;

[0047] Figure 8 This is a schematic diagram of an example of estimating commodity sales volume based on historical commodity sales volume data and a grade conversion coefficient in an embodiment of a commodity automatic replenishment method of the present invention;

[0048] Fig. 9 It is another example schematic diagram of estimating commodity sales volume based on historical commodity sales volume data and grade conversion coefficients in one embodiment of the commodity automatic replenishment method of the present invention;

[0049] Fig.10 It is a structural block diagram of the first embodiment of the automatic commodity replenishment device of the present invention;

[0050] Fig.11 It is a structural schematic diagram of a commodity automatic replenishment device in a hardware operating environment involved in an embodiment of the present invention.

[0051] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0052] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] Based on this, the embodiment of the present invention provides a method for automatic replenishment of goods, referring to Figure 1 , Figure 1 The figure is a flow chart of a first embodiment of a method for automatic replenishment of goods according to the present invention.

[0055] In this embodiment, the commodity automatic replenishment method includes:

[0056] Step S10: In response to the commodity automatic replenishment request, historical commodity sales data of the target store is obtained.

[0057] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a control computer or a cloud server, etc. The following takes the cloud server as an example to illustrate this embodiment and the following embodiments.

[0058] It should be noted that automatic replenishment requests for goods refer to requests automatically initiated by stores, staff or various vending machines to request replenishment of various goods. They are generally initiated directly by stores and sent to the logistics scheduling management system.

[0059] It can be understood that this embodiment is not only aimed at supermarkets or operators in the form of stores, but also can be areas with functions such as vending machines and warehouses that have functions such as commodity storage and sales. For the sake of ease of explanation, this embodiment takes stores as an example. Accordingly, historical commodity sales data refers to the historical sales data of various types of commodities in the corresponding store under different working conditions.

[0060] Specifically, due to product promotions, brand discounts, and the way products are displayed in stores, even the sales data of the same product may be different due to the above reasons. In this embodiment and the following embodiments, in order to improve the replenishment efficiency and product profitability, reference Figure 2 , Figure 2 This is a schematic diagram of an example of the classification of commodity attribute levels in this embodiment. The commodity attribute levels include at least: promotion type level, brand discount level and display level; wherein the promotion type level, brand discount level and display level are each divided into at least three sub-levels. By grading the commodity attribute levels, the influence of different factors on commodity efficiency data can be quantified, thereby improving the efficiency of subsequent automatic replenishment of commodities.

[0061] Step S20: Analyze the historical commodity sales data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels.

[0062] In the specific implementation, analyzing historical commodity sales data means splitting the historical commodity sales data into multiple data sets according to promotion type level, brand discount level and display level, and then dividing each level into at least three sub-levels and corresponding sub-level data sets, and different sub-levels can be combined to form a data set with multiple dimensions.

[0063] In this embodiment, reference Figure 2 , if the promotion type level is A, the brand discount level is B, and the display level is B, they can be combined into the product attributes of ABB, and the historical sales data of the corresponding product attributes can be queried.

[0064] In the specific implementation, refer to Figure 3 , Figure 4 as well as Figure 5 , Figure 3 This is a diagram of the sub-level structure of the promotion type level. Figure 4 This is a schematic diagram of the sub-level structure of the brand discount level. Figure 5 The figure is a schematic diagram of the sub-level architecture of the display level, wherein the promotion type level can be divided into front cover, front cover, back cover, enlargement (snap-up, surprise), ordinary, etc., and the corresponding sub-levels are set accordingly; the brand discount level is determined by different store groups, brands, and discount conditions; the display level is determined by different display positions, display methods, and display coefficients. Specifically, the display position is divided into main channel, side channel, and original row; the display method is divided into stacking head, end rack, stacked cage, and row; the display coefficient is a numerical value, for example: the display coefficient is 1.5, the display method is stacking head, and the display position is the main channel, then: the display situation of the product is the main channel, 1.5 stacking heads, and this embodiment does not make specific restrictions on this.

[0065] Step S30: constructing a level conversion table between multiple commodity attribute levels, wherein the level conversion table includes level conversion coefficients between commodity attribute levels in different dimensions.

[0066] In the specific implementation, refer to Figure 6 , Figure 6 This is a schematic diagram of one example of a level conversion table in this embodiment. The level conversion table contains the conversion ratios between commodity attribute levels of different dimensions, that is, the level conversion coefficients. The level conversion coefficients are used to characterize the ratios of historical commodity sales data corresponding to commodity attribute levels of different dimensions.

[0067] Step S40: determining the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient.

[0068] It should be understood that when determining the replenishment quantity of each type of merchandise, the sales quantity of each merchandise can be estimated based on the merchandise's share of historical sales, thereby quantifying the economic benefits of replenishment and improving the economic benefits of replenishment. In combination with the current inventory of the merchandise in the store, the difference between the estimated sales quantity and the current inventory can be determined to determine the replenishment quantity of each merchandise.

[0069] This embodiment analyzes the historical commodity sales data of the store to obtain the commodity attribute levels and historical commodity sales data of the store in multiple dimensions, and then constructs a level conversion table between multiple commodity attribute levels to represent the historical sales ratios of various commodities. Finally, the replenishment quantity of each commodity is traversed according to the historical commodity sales data and the level conversion coefficient, thereby establishing a unified commodity automatic replenishment architecture, improving the economic benefits of commodity automatic replenishment, and avoiding the technical problem in the prior art that the replenishment quantity and economic benefits cannot be accurately controlled when the store manually replenishes the commodities.

[0070] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 7 , step S40, comprising:

[0071] Step S401: Determine the level conversion coefficients between the levels of commodity attributes in multiple dimensions in the level conversion table.

[0072] Step S402: Determine the estimated sales volume of each commodity based on the historical commodity sales volume data and the grade conversion coefficient.

[0073] Step S403: Obtain the current inventory of each product in the target store.

[0074] Step S404: Determine the replenishment quantity of each commodity according to the estimated sales volume and the current inventory.

[0075] It should be noted that since the level conversion table stores the level conversion coefficients between the product attribute levels of each dimension, it represents the proportion of historical product sales data corresponding to the product attribute levels of different dimensions. When faced with products that need to be replenished, the sales volume of each product can be estimated based on the historical sales volume.

[0076] In the specific implementation, there may be products that are newly listed or have no historical sales. At this time, due to the uncertainty of historical data, it is impossible to accurately estimate the sales of such products. In order to reduce warehousing pressure and costs, this implementation can predict the historical sales volume of products of the same level based on the level conversion coefficients between the existing product attribute levels in each dimension.

[0077] Furthermore, determining the estimated sales volume of each commodity according to the historical commodity sales volume data and the grade conversion coefficient includes:

[0078] The products to be estimated in the target store are traversed.

[0079] Determine the target commodity attribute level of the commodity to be estimated.

[0080] The estimated sales volume of the commodity to be estimated is determined according to the level conversion coefficient corresponding to the attribute level of the target commodity and the historical commodity sales volume data.

[0081] It should be noted that, based on actual sales conditions, some goods may be sold out, or new goods may be put on the shelves of the supply chain. The goods to be estimated may be existing goods in the target store, goods to be put on the shelves, and historical sales goods in the target store, etc. This embodiment does not impose specific restrictions on this.

[0082] Further, the step of determining the estimated sales volume of the commodity to be estimated according to the level conversion coefficient corresponding to the target commodity attribute level and the historical commodity sales volume data includes:

[0083] Querying whether there is target sales data corresponding to the target product attribute level in the historical product sales data;

[0084] If so, the estimated sales volume of the commodity to be estimated is determined according to the target sales volume data and the level conversion coefficient corresponding to the target sales volume data.

[0085] In the specific implementation, refer to Figure 8 , Figure 8 The figure is a flow chart of estimating the sales volume of a commodity according to the historical sales volume data and the grade conversion coefficient of the present embodiment, wherein, for commodities with the commodity attribute grade of AAC, the grade conversion coefficient is 1, and the estimated sales volume of the commodity in this file is (280×1, 300×1) / 2=290.

[0086] Furthermore, the commodity automatic replenishment method further includes:

[0087] If it does not exist, extract the attribute level of the target product in each dimension;

[0088] Query the sales data of the same level corresponding to the attribute level through the historical commodity sales data;

[0089] Determine the same-level conversion coefficient corresponding to the same-level sales data;

[0090] The estimated sales volume of the commodity to be estimated is determined according to the same-level sales volume data and the corresponding same-level sales volume data.

[0091] In the specific implementation, refer to Fig. 9 , Fig. 9 The following is another flow chart of estimating commodity sales based on historical commodity sales data and grade conversion coefficients in this embodiment. For commodities with commodity attribute grade AAC, since there are only five categories of commodity sales data with the same attribute grade of AAB, AAA, ACC, ABC, and ABB in the historical sales data, when determining the replenishment quantity of newly listed commodities, it can be determined based on the average value of historical grade sales A×grade conversion coefficient, historical grade sales B×grade conversion coefficient, historical grade sales C×grade conversion coefficient, etc., that is, the estimated sales of the commodity in this file is AVG(200×1.2, 300×0.8, 80×3, 350×0.8)=250.

[0092] This embodiment determines the level conversion coefficients between the levels of commodity attributes in multiple dimensions in the level conversion table; determines the estimated sales of each commodity based on the historical commodity sales data and the level conversion coefficient; obtains the current inventory of each commodity in the target store; determines the replenishment quantity of each commodity based on the estimated sales and the current inventory, and determines the sales ratio of commodity attributes in each dimension through historical sales data, thereby estimating the sales of the commodity and improving the efficiency and economic benefits of replenishment.

[0093] This application also provides a commodity automatic replenishment device, please refer to Fig.10 , the commodity automatic replenishment device comprises:

[0094] The acquisition module 10 is used to obtain historical commodity data of a target store in response to a commodity automatic replenishment request.

[0095] The analysis module 20 is used to analyze the historical commodity data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels.

[0096] Construction module 30 is used to construct a level conversion table between multiple commodity attribute levels, wherein the level conversion table includes level conversion coefficients between commodity attribute levels of different dimensions.

[0097] The replenishment module 40 is used to determine the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient.

[0098] This embodiment analyzes the historical commodity sales data of the store to obtain the commodity attribute levels and historical commodity sales data of the store in multiple dimensions, and then constructs a level conversion table between multiple commodity attribute levels to represent the historical sales ratios of various commodities. Finally, the replenishment quantity of each commodity is traversed according to the historical commodity sales data and the level conversion coefficient, thereby establishing a unified commodity automatic replenishment architecture, improving the economic benefits of commodity automatic replenishment, and avoiding the technical problem in the prior art that the replenishment quantity and economic benefits cannot be accurately controlled when the store manually replenishes the commodities.

[0099] In one embodiment, the replenishment module 40 is further used to determine the level conversion coefficients between the commodity attribute levels of multiple dimensions in the level conversion table; determine the estimated sales of each commodity based on the historical commodity sales data and the level conversion coefficient; obtain the current inventory of each commodity in the target store; and determine the replenishment quantity of each commodity based on the estimated sales and the current inventory.

[0100] In one embodiment, the replenishment module 40 is further used to traverse the to-be-estimated commodities in the target store; determine the target commodity attribute level of the to-be-estimated commodities; and determine the estimated sales volume of the to-be-estimated commodities based on the level conversion coefficient corresponding to the target commodity attribute level and the historical commodity sales volume data.

[0101] In one embodiment, the replenishment module 40 is further used to query whether there is target sales data corresponding to the target product attribute level in the historical product sales data; if so, the estimated sales of the product to be estimated is determined based on the target sales data and the level conversion coefficient corresponding to the target sales data.

[0102] In one embodiment, the replenishment module 40 is further used to extract the attribute level of the target commodity in each dimension if it does not exist; query the same-level sales data corresponding to the attribute level through the historical commodity sales data; determine the same-level conversion coefficient corresponding to the same-level sales data; and determine the estimated sales of the commodity to be estimated based on the same-level sales data and the corresponding same-level sales data.

[0103] In one embodiment, the acquisition module 10 is also used for the commodity attribute level, which at least includes: promotion type level, brand discount level and display level; wherein the promotion type level, brand discount level and display level are each divided into at least three sub-levels.

[0104] The present application provides an automatic commodity replenishment device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the automatic commodity replenishment method in the above-mentioned embodiment 1.

[0105] Reference below Fig.11 , which shows a schematic diagram of the structure of a commodity automatic replenishment device suitable for implementing the embodiment of the present application. The commodity automatic replenishment device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Fig.11 The automatic merchandise replenishment device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of the present application.

[0106] like Fig.11As shown, the commodity automatic replenishment device may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the commodity automatic replenishment device are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the automatic replenishment device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows the automatic replenishment device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have alternatively.

[0107] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0108] The automatic replenishment device for goods provided in this application adopts the automatic replenishment method for goods in the above embodiment, and can solve the technical problem of automatic replenishment of goods. Compared with the prior art, the beneficial effects of the automatic replenishment device for goods provided in this application are the same as the beneficial effects of the automatic replenishment method for goods provided in the above embodiment, and other technical features in the automatic replenishment device for goods are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0109] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0110] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0111] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the commodity automatic replenishment method in the above-mentioned embodiment.

[0112] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0113] The computer-readable storage medium may be included in the automatic commodity replenishment device; or may exist independently without being assembled into the automatic commodity replenishment device.

[0114] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the automatic commodity replenishment device, the automatic commodity replenishment device can automatically replenish commodities.

[0115] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0116] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0117] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0118] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for automatic replenishment of goods, and can solve the technical problem of automatic replenishment of goods. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the method for automatic replenishment of goods provided in the above-mentioned embodiment, and will not be elaborated here.

[0119] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned method for automatic replenishment of goods when executed by a processor.

[0120] The computer program product provided in this application can solve the technical problem of automatic replenishment of goods. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the automatic replenishment method of goods provided in the above embodiment, which will not be repeated here.

[0121] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for automatic replenishment of goods, characterized in that: The commodity automatic replenishment method comprises: In response to a product automatic replenishment request, obtain historical product sales data of a target store; Analyze the historical commodity sales data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels; Constructing a level conversion table between multiple commodity attribute levels, wherein the level conversion table includes level conversion coefficients between commodity attribute levels in different dimensions; The replenishment quantity of each commodity is determined according to the historical commodity sales data and the grade conversion coefficient.

2. The method according to claim 1, characterized in that The determining the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient includes: Determine the grade conversion coefficients between the commodity attribute grades of multiple dimensions in the grade conversion table; Determining the estimated sales volume of each commodity based on the historical commodity sales volume data and the grade conversion coefficient; Obtain the current inventory of each product in the target store; The replenishment quantity of each commodity is determined according to the estimated sales volume and the current inventory.

3. The method according to claim 2, characterized in that Determining the estimated sales volume of each commodity according to the historical commodity sales volume data and the grade conversion coefficient includes: Traversing the commodities to be estimated in the target store; Determine a target commodity attribute level of the commodity to be estimated; The estimated sales volume of the commodity to be estimated is determined according to the level conversion coefficient corresponding to the attribute level of the target commodity and the historical commodity sales volume data.

4. The method according to claim 3, characterized in that The step of determining the estimated sales volume of the commodity to be estimated according to the level conversion coefficient corresponding to the target commodity attribute level and the historical commodity sales volume data includes: Querying whether there is target sales data corresponding to the target product attribute level in the historical product sales data; If so, the estimated sales volume of the commodity to be estimated is determined according to the target sales volume data and the level conversion coefficient corresponding to the target sales volume data.

5. The method according to claim 4, characterized in that The commodity automatic replenishment method further includes: If it does not exist, extract the attribute level of the target product in each dimension; Query the sales data of the same level corresponding to the attribute level through the historical commodity sales data; Determine the same-level conversion coefficient corresponding to the same-level sales data; The estimated sales volume of the commodity to be estimated is determined according to the same-level sales volume data and the corresponding same-level sales volume data.

6. The method according to any one of claims 1 to 5, characterized in that The commodity attribute level includes at least: promotion type level, brand discount level and display level; The promotion type level, brand discount level and display level are each divided into at least three sub-levels.

7. A commodity automatic replenishment device, characterized in that: The commodity automatic replenishment device comprises: An acquisition module, used to obtain historical commodity sales data of a target store in response to a commodity automatic replenishment request; An analysis module, used to analyze the historical commodity sales data to obtain commodity attribute levels in multiple dimensions and historical commodity sales data corresponding to the commodity attribute levels; A construction module, used to construct a level conversion table between multiple commodity attribute levels, wherein the level conversion table includes level conversion coefficients between commodity attribute levels in different dimensions; The replenishment module is used to determine the replenishment quantity of each commodity according to the historical commodity sales data and the grade conversion coefficient.

8. A commodity automatic replenishment device, characterized in that: The automatic commodity replenishment device comprises: a memory, a processor, and an automatic commodity replenishment program stored in the memory and executable on the processor, wherein the automatic commodity replenishment program is configured to implement the steps of the automatic commodity replenishment method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores an automatic commodity replenishment program, and when the automatic commodity replenishment program is executed by the processor, the steps of the automatic commodity replenishment method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the method for automatic replenishment of goods according to any one of claims 1 to 6 are implemented.

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