CN116050991A

CN116050991A - Commodity replenishment method, commodity replenishment system, electronic device and computer-readable storage medium

Info

Publication number: CN116050991A
Application number: CN202310021174.5A
Authority: CN
Inventors: 李明; 汪平平; 吴志斌; 寿开荣; 杨浩; 刘璐
Original assignee: Hangzhou Netease Zaigu Technology Co Ltd
Current assignee: Hangzhou Netease Zaigu Technology Co Ltd
Priority date: 2023-01-06
Filing date: 2023-01-06
Publication date: 2023-05-02

Abstract

Embodiments of the present disclosure provide a method, system, electronic device, and computer-readable storage medium for restocking of merchandise. The method comprises the following steps: determining the planned sales volume sum of target commodities to be restocked in a sales period; determining an initial inventory of the target commodity at a point in time of a start of sales; calculating the planned replenishment quantity of the target commodity in the sales period based on the difference between the planned sales quantity sum in the sales period and the initial stock quantity at the sales start time point, so that the residual stock quantity of the target commodity at the sales end time point does not exceed a preset quantity; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

Description

Commodity replenishment method, commodity replenishment system, electronic device and computer-readable storage medium

Technical Field

Embodiments of the present disclosure relate to the field of computer technology, and more particularly, to a method, a system, an electronic device, and a computer-readable storage medium for commodity replenishment.

Background

This section is intended to provide a background or context to the embodiments of the disclosure recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

The replenishment refers to replenishing a certain amount of commodities to refill the stock after selling part of the commodities in the existing stock.

In the field of commodity sales, how to better manage inventory and store a reasonable amount of commodities in a proper time is a key problem of reducing cost, improving profits and improving enterprise competitiveness. Especially in the scenes of electronic commerce and retail industry, because the quantity of commodities is large and the influence factors of sales conditions are large, the accuracy of the replenishment decision for mass commodities needs to be improved, so that the inventory cost is saved.

Inventory items may generally be divided into full-season items and seasonal items according to the sales cycle. The actual sales volume of the seasonal commodity fluctuates greatly, so that the difficulty of making a replenishment decision and controlling the inventory cost for the seasonal commodity is higher.

Disclosure of Invention

In a first aspect of embodiments of the present disclosure, there is provided a method of restocking a commodity, the method comprising:

Determining the planned sales volume sum of target commodities to be restocked in a sales period; wherein the sales cycle includes a time interval from a sales start time point to a sales end time point;

determining an initial inventory of the target commodity at a point in time of a start of sales;

calculating the planned replenishment quantity of the target commodity in the sales period based on the difference between the planned sales quantity sum in the sales period and the initial stock quantity at the sales start time point, so that the residual stock quantity of the target commodity at the sales end time point does not exceed a preset quantity; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

In a second aspect of embodiments of the present disclosure, there is provided a merchandise replenishment system, the system comprising:

the sales volume determining module is used for determining the planned sum of sales volumes of target commodities to be restocked in a sales period; wherein the sales cycle includes a time interval from a sales start time point to a sales end time point;

A stock quantity determining module for determining an initial stock quantity of the target commodity at a sales start time point;

the goods replenishment quantity determining module is used for calculating the planned goods replenishment quantity of the target goods in the sales period based on the difference between the sum of the planned sales quantities in the sales period and the initial stock quantity at the sales starting time point, so that the residual stock quantity of the target goods at the sales ending time point does not exceed the preset quantity; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

In a third aspect of the embodiments of the present disclosure, there is provided an electronic device, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to perform any of the commodity replenishment methods.

In a fourth aspect of embodiments of the present disclosure, a computer-readable storage medium having stored thereon a computer program which when executed by a processor implements any of the commodity replenishment methods is provided.

The above embodiments of the present disclosure have at least the following beneficial effects:

on the one hand, the planned replenishment quantity of the target commodity to be replenished in the sales period can be obtained by calculating based on the sum of the planned sales quantity of the target commodity in the sales period and the initial stock quantity at the sales starting time point, so that the accuracy of commodity replenishment quantity decision can be improved, and the stock cost can be saved.

On the other hand, the calculated planned goods replenishment quantity of the target goods in the sales cycle can enable the residual stock quantity of the target goods at the sales ending time point not to exceed the preset quantity, so that the stock quantity of the target goods at the end of the current sales cycle can be reduced as much as possible by combining the planned sales quantity of the target goods and the sales ending time point to make the goods replenishment quantity decision, the accuracy of the goods replenishment quantity decision is improved, the stock cost is saved, and especially the accuracy of the goods replenishment quantity decision for seasonal goods can be improved.

Drawings

The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings, in which:

FIG. 1 is a schematic diagram of a system architecture of a method for restocking merchandise according to an exemplary embodiment;

FIG. 2 is a flow chart of a method for restocking merchandise according to an exemplary embodiment;

FIG. 3 is a schematic illustration of an inventory curve provided by an exemplary embodiment;

FIG. 4 is a block diagram of a merchandise replenishment system provided in an exemplary embodiment;

FIG. 5 is a schematic diagram of a readable storage medium corresponding to a method for restocking merchandise according to an exemplary embodiment;

fig. 6 is a schematic diagram of an electronic device capable of implementing the method according to an exemplary embodiment.

In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

Detailed Description

The principles and spirit of the present disclosure will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable one skilled in the art to better understand and practice the present disclosure and are not intended to limit the scope of the present disclosure 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.

Those skilled in the art will appreciate that embodiments of the present disclosure may be implemented as a system, apparatus, device, method, or computer readable storage medium. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to embodiments of the present disclosure, a method, a system, an electronic device, and a computer-readable storage medium for commodity replenishment are provided.

In this document, it should be understood that any number of elements in the drawings is for illustration and not limitation, and that any naming is used only for distinction and not for any limitation. And, the data related to the present disclosure may be data authorized by a user or sufficiently authorized by each party.

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

Application scene overview

The replenishment refers to replenishing a certain amount of commodities to refill the stock after selling part of the commodities in the existing stock. The purchasing period refers to the whole period of purchasing side to decide to replenish and initiate order, supplier to process order and produce and transport commodity.

For example, a (S, Q) quantitative model may be used for restocking; that is, the stock amount of a certain commodity may be continuously monitored, and when the stock amount is detected to be lower than the preset stock water line S, the commodity is subjected to the replenishment process, and the replenishment amount of the commodity may be a fixed value Q that is configured in advance.

It can be seen that, in the above-described related art embodiment, when the (S, Q) quantitative model is used for replenishment, only the stock water line S is concerned, and the replenishment quantity is a fixed value Q, but is insensitive to parameters such as actual sales condition, actual sales period, replenishment cost, etc. of the commodity, resulting in insufficient accuracy of the decision-making replenishment quantity.

In addition, inventory items may be generally divided into full-season items and seasonal items according to sales cycles. Wherein, the all-season commodity can be a commodity sold in all seasons, and the sales condition of the commodity cannot be greatly influenced by factors such as weather, events and the like; seasonal commodities may refer to commodities sold only in part of seasons (i.e., part of time periods in the whole year), and sales of such commodities are liable to fluctuate greatly with factors such as weather, events, activities, and the like.

Therefore, the actual sales volume of the seasonal commodity fluctuates greatly, so that the difficulty of making a replenishment decision and controlling the inventory cost for the seasonal commodity is higher.

For example, with the advertising of a certain garment, sales volume of the garment is greatly increased, stock volume is reduced, and replenishment is required; if a replenishment order for the garment is initiated according to the current sales condition, and after the replenishment order arrives, the advertisement broadcasting of the garment is finished, the sales volume is reduced, and the stock backlog condition can be caused.

For another example, if restocking is performed according to the historical sales condition of a garment, a restocking order for the garment is initiated, and the garment participates in a large promotion in an online shopping section, sales volume is greatly increased, then after the restocking order arrives, a condition of a cut-out may occur.

For another example, a certain brand of moon cake is usually sold only before and after mid-autumn festival every year, if replenishment is performed based on a fixed replenishment amount at different stages in the sales cycle, after replenishment order arrives, a condition of a broken product may occur at a hot-selling stage before mid-autumn festival, and a condition of stock backlog occurs at a dead-selling stage after mid-autumn festival.

It should be noted that the above application scenario is only shown for the convenience of understanding the spirit and principles of the present disclosure, and the embodiments of the present disclosure are not limited in any way in this respect. Rather, embodiments of the present disclosure may be applied to any scenario where applicable.

Summary of The Invention

In view of this, the present disclosure provides a technical solution for making a replenishment quantity decision for a commodity to be replenished in combination with a planned sales quantity of the commodity to be replenished and a point in time of sales ending.

The core concept of the specification is as follows:

on the one hand, because the actual sales volume of the seasonal commodity fluctuates greatly, the stock volume of the commodity to be replenished is increased, and the commodity replenishment volume decision can be carried out on the seasonal commodity by combining the planned sales volume of the commodity to be replenished. The planned sales amount may also be referred to as a predicted sales amount, a predicted value of sales amount, or the like, and the present disclosure is not particularly limited.

On the other hand, since seasonal commodities are usually sold only for a part of the time period in the whole year (i.e., the sales period from the sales start time point to the sales end time point), and considering that seasonal commodities which are not sold in the current sales period may occur, there may be cases where the sales amount in the next sales period is significantly reduced (such as fashion clothing is no longer popular), sales cannot be continued in the next sales period (such as food expiration), inventory costs are high, etc.; therefore, besides the stock quantity and the planned sales quantity of the goods to be restocked, the sales ending time point of the goods to be restocked can be combined, and the commodity replenishment quantity decision is carried out on the seasonal goods, so that the stock quantity of the goods to be restocked at the end of the sales period is cleared as much as possible. The point in time of ending the sale may also be referred to as a sale-to-term, a sale-end time, etc., which is not particularly limited in this disclosure.

In one embodiment of the present disclosure, a planned sales volume sum of target goods to be restocked in a sales cycle may be determined first; wherein the sales cycle includes a time interval from a sales start time point to a sales end time point; and, an initial inventory amount of the target commodity at a sales start time point may be determined; further, based on the difference between the sum of the planned sales amounts at the sales cycle and the initial stock amount at the sales start time point, a planned replenishment amount of the target commodity at the sales cycle may be calculated such that the remaining stock amount of the target commodity at the sales end time point does not exceed a preset amount; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

In this way, on the one hand, since the planned replenishment quantity of the target commodity to be replenished in the sales cycle can be calculated based on the sum of the planned sales quantity of the target commodity in the sales cycle and the initial inventory quantity at the sales start time point, the accuracy of commodity replenishment quantity decision can be improved, and the inventory cost can be saved.

Exemplary method

The technical idea of the present specification will be described in detail by specific examples.

Referring to fig. 1, fig. 1 is a schematic diagram of a system architecture of a method for restocking commodities according to an exemplary embodiment. The system architecture 100 shown in fig. 1 may include a server 101 corresponding to a restocking system, a server 102 corresponding to an off-line sales system, a server 103 corresponding to an on-line sales system, and a server 104 corresponding to an inventory management system.

The server 101 may be in communication connection with the server 102 and the server 103, respectively, so that the restocking system may acquire sales data of the commodity to be restocked from the off-line sales system and the on-line sales system, respectively. The sales data may include, but is not limited to, specifically, historical sales volume, sales price, sales time, and the like. The off-line sales system may specifically include a shopping sales system of an off-line store. The online sales system may specifically include an online shopping platform.

The server 101 may be further communicatively connected to the server 104, so that the restocking system may obtain inventory data of the commodity to be restocked from the inventory management system. The inventory data may include, but is not limited to, specifically, historical inventory, current inventory, in-transit inventory, time of entry and exit, and the like.

In addition, the server 102 and the server 103 may also be in communication connection with the server 104, so that the offline sales system and the online sales system may also obtain inventory data of the goods to be restocked from the inventory management system; correspondingly, the restocking system can also directly acquire the inventory data of the commodity to be restocked from the off-line sales system and the on-line sales system.

It should be noted that, in the embodiment shown above, the system architecture shown in fig. 1 is only an exemplary description, and is not meant to limit the disclosure in any way. For example, as shown in the system architecture 100 of fig. 1, a terminal may further include a communication connection with the server 101; the purchasing party can actively initiate a replenishment request for the to-be-replenished commodity to the server 101 through the terminal, so that the replenishment amount decision is made for the to-be-replenished commodity by the replenishment system in response to the replenishment request.

In an embodiment of the disclosure, the server may include one server, a server cluster formed by a plurality of servers, or a cloud server. The server side can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network ), basic cloud computing services such as big data and artificial intelligent platforms and the like.

The terminal may be an electronic device used by a user. The terminal may include, but is not limited to, smart phones, desktop computers, tablet computers, notebook computers, electronic book readers, smart watches, smart bracelets, and other electronic devices.

The terminal and the server may be directly or indirectly connected through wired communication or wireless communication, and the disclosure is not limited in particular.

Referring to fig. 2, fig. 2 is a flowchart of a method for restocking a commodity according to an exemplary embodiment. The commodity replenishment method can be applied to the service end 101 shown in fig. 1.

For example, the restocking system corresponding to the server 101 may make a restocking amount decision for the commodity to be restocked at a preset time point in a fixed time; or the replenishment system periodically makes replenishment quantity decisions for the to-be-replenished commodities according to a preset replenishment period; or, the replenishment system may make a replenishment quantity decision for a commodity to be replenished in response to receiving a replenishment request initiated by a purchasing party; or, the replenishment system may continuously monitor the inventory of the commodity to be replenished, and may make a replenishment amount decision for the commodity to be replenished in response to monitoring that the inventory of the commodity to be replenished is below a preset inventory water line. The triggering conditions for the server to make a replenishment quantity decision for the to-be-replenished commodity are not listed here.

The method for replenishing the commodity as shown in fig. 2 may include the following steps:

step 201: determining the planned sales volume sum of target commodities to be restocked in a sales period; wherein the sales cycle includes a time interval from a sales start time point to a sales end time point.

In the step 201, the target commodity may be a full-season commodity or a seasonal commodity; specifically, the target commodity may be a seasonal commodity that is designated by the purchasing party and needs to be restocked, or may be a seasonal commodity that is detected by the server and needs to be restocked, and the disclosure is not limited in particular.

For example, the target commodity to be restocked may be a seasonal commodity of "2022 men and women warmth retention suit", the sales cycle of the target commodity is "2022 year 1 month", that is, the sales start time point of the target commodity is "2022/01/0100:00", and the sales end time point of the target commodity is "2022/01/31:23:59"; the replenishment system can determine that the sum of planned sales volumes of target commodities in a sales period is sp _s 。

In some possible embodiments, the sales cycle may include a plurality of consecutive sales periods; the sum of the planned sales amounts in the sales period may specifically include a sum of the planned sales amounts in the respective sales periods of the plurality of sales periods.

In this case, if the sales cycle includes N (N is a positive integer) sales periods in succession, the planned sales amount sp of the target commodity in the sales cycle _s Can be expressed as:

in the formulas shown above, j may be used to represent the j-th sales period in the sales cycle; sp (sp) _j May be used to represent the planned sales volume of the target commodity at the jth sales period.

For example, the sales cycle of the target commodity is "2022 year 1 month", and the sales cycle may be divided into 31 consecutive sales periods with "day" as a unit; the planned sales amount of the target commodity in month 2022 may be calculated first, and then the sum of the planned sales amounts of the target commodity in month 2022 and 1 may be calculated to obtain the sum of the planned sales amounts of the target commodity in month 2022 and 1.

In the embodiments of the present disclosure, the present disclosure is not particularly limited with respect to the specific implementation of determining the planned sales amount. For example, the restocking system may obtain planned sales volume that is manually predicted from expert experience; alternatively, the restocking system may obtain a planned sales volume based on trend prediction based on a mathematical formula; or, the restocking system may acquire historical sales data of the target commodity from the online sales system or the offline sales system, train a machine learning model by using the acquired historical sales data, and further predict a planned sales amount of the target commodity by using the trained machine learning model.

In some possible embodiments, the restocking system is pluggable and well-suited; that is, the purchasing side can calculate the planned sales amount according to actual demands by any implementation manner, and can access a functional module for calculating the planned sales amount to the restocking system, so that the restocking system can obtain the planned sales amount of the target commodity.

Step 202: an initial inventory of the target commodity at a point in time of the start of sales is determined.

For example, the sales cycle of the target commodity is "2022 years1 month ", the sales start time point of the target commodity is" 2022/01/01 00:00"; the replenishment system can determine that the initial stock quantity of the target commodity at the point of sale starting time is S ₁ 。

In some possible embodiments, the sales cycle may include a plurality of consecutive sales periods; the initial stock quantity of the target commodity in each of the plurality of sales periods may be represented as S _j The method comprises the steps of carrying out a first treatment on the surface of the Wherein j may be used to represent the j-th sales period in the sales cycle, S _j May be used to represent the initial inventory of the target commodity at the j-th sales period.

In this case, the initial stock quantity S of the target commodity in the 1 st sales period in the sales cycle may be ₁ An initial inventory amount of the target commodity at a point in time of sales start is determined.

It should be noted that, regarding the execution sequence of the step 201 and the step 202, fig. 2 is only an exemplary description, and the disclosure is not limited in particular; for example, the step 201 and the step 202 may be performed simultaneously; or the step 202 may be performed before the step 201.

Step 203: calculating the planned replenishment quantity of the target commodity in the sales period based on the difference between the planned sales quantity sum in the sales period and the initial stock quantity at the sales start time point, so that the residual stock quantity of the target commodity at the sales end time point does not exceed a preset quantity; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

In step 203, the preset number may be any number set as needed, and the disclosure is not limited in particular. In one possible example, the preset number may be configured to be 0 in order to zero the stock quantity of the target commodity at the end of the sales cycle. In another possible example, to address uncertainty in commodity demand, order satisfaction rates of customers are guaranteed, excessive backorder costs are avoided, and the preset amount may be configured as a safe inventory amount.

For example, in determining that the sum of planned sales amounts of the target commodity in the sales period is sp _s And determining the initial stock quantity of the target commodity at the sales start time point as S ₁ Thereafter, the restocking system may be sp-based _s And S is equal to ₁ Calculating the planned replenishment quantity Rep of the target commodity in the sales period, so that the calculated planned replenishment quantity Reo of the target commodity in the sales period meets the following conditions:

S ₁ +Rep-sp _s ≥S ₀

in the formula shown above, S ₁ +Rep can be used to represent the total inventory of the target commodity over the sales cycle; s is S ₁ +Rep-sp _s May be used to represent the remaining inventory of the target commodity at the point in time of sale; s is S ₀ Can be used to represent the preset number, S ₀ The value of (c) may be a non-negative integer.

In some possible embodiments, the step 203 may be divided into two sub-steps, that is, the sales cycle may be divided into two sales sub-cycles based on the replenishment time point, so as to calculate the planned replenishment amount of the target commodity in the sales cycle; the replenishment time point may be used to represent a warehousing time point of a replenishment product corresponding to the target product in a sales cycle. The replenishment time point may also be referred to as a commodity delivery period, a arrival time point, or the like, and the present disclosure is not particularly limited.

In this case, the sales cycle may include: a first sales sub-period from a point of sales start time to a point of restocking time, and a second sales sub-period from the point of restocking time to a point of sales end time; the planned sales volume sum over the sales period may include: a first projected sales volume sum over a first sales sub-period and a second projected sales volume sum over a second sales sub-period; the calculating the planned replenishment quantity of the target commodity in the sales cycle based on the difference between the sum of the planned sales quantities in the sales cycle and the initial stock quantity at the sales start time point may specifically include:

step 203-1: calculating an initial inventory amount of the target commodity at a restocking time point based on a difference between the initial inventory amount at the sales start time point and the first planned sales amount sum at the first sales sub-period;

step 203-2: and calculating the planned replenishment quantity of the target commodity in the sales period based on the difference between the sum of the second planned sales quantities in the second sales sub-period and the initial stock quantity at the replenishment time point.

For example, if the sales cycle includes N consecutive sales periods, wherein the restocking time point is the LT-th sales period within the sales cycle; the planned sales volume sum sp of the target commodity in the sales period _s Can be divided into a first planned sales volume sum sp _s1 (1. Ltoreq.j < LT) and the sum of the second planned sales amount sp _s2 (LT.ltoreq.j.ltoreq.N); wherein the first sales sub-period may be a time interval from a 1 st sales period to a (LT-1) th sales period in the sales period, and the second sales sub-period may be a time interval from the LT-th sales period to the nth sales period in the sales period.

At the time of determining the initial stock quantity of the target commodity at the point of sale start is S ₁ And a first planned sales volume sum sp of the target commodity in the first sales sub-period _s1 Thereafter, the restocking system may be based on S ₁ And sp (sp) _s1 Calculating initial stock S of target commodity at replenishment time point _LT The method comprises the steps of carrying out a first treatment on the surface of the Further, in determining the second planned sales volume sum sp of the target commodity in the second sales sub-period _s2 Thereafter, the restocking system may be based on S _LT And sp (sp) _s2 And calculating the planned replenishment quantity Rep of the target commodity in the sales period.

In some possible embodiments, an initial inventory amount, a planned sales amount, a remaining inventory amount, and a planned replenishment amount of the target commodity for each sales period may be determined for each sales period included in the sales period, respectively.

In this case, the initial stock quantity at each sales period may be the remaining stock quantity at the last sales period of the sales period; the remaining inventory amount at each sales period may be a difference between the initial inventory amount at the sales period and the planned sales amount at the sales period; the planned replenishment quantity during the sales period may include a sum of planned replenishment quantities for respective sales periods included in the second sales sub-period.

The calculating the planned replenishment quantity of the target commodity in the sales cycle based on the difference between the sum of the second planned sales quantity in the second sales sub-cycle and the initial stock quantity in the replenishment time point may specifically include: calculating, for each sales period contained in the second sales sub-period, a difference between a planned sales amount at the sales period and an initial inventory amount at the sales period; determining the planned replenishment quantity in the sales period to be the difference between the planned sales quantity in the sales period and the initial inventory quantity in the sales period if the difference between the planned sales quantity in the sales period and the initial inventory quantity in the sales period is greater than 0; if the difference between the planned sales amount during the sales period and the initial inventory amount during the sales period is greater than 0, it is determined that the planned replenishment amount during the sales period is 0.

For example, if the sales cycle includes N consecutive sales periods, the replenishment time point is the LT-th sales period in the sales cycle, and the initial stock amount of the target commodity at the sales start time point is S ₁ Then the following formula is used:

can calculate and obtain the initial stock quantity S of the target commodity in the j-th sales period _j And the planned replenishment quantity Rep of the target commodity in the sales cycle can be calculated.

In other possible embodiments, since the goods are put in stock during the sales cycle, there may be goods corresponding to the in-transit inventory in addition to the restocking goods corresponding to the target goods; the in-transit inventory refers to an inventory which is stored in a transport means without reaching a destination, being in a transport state or waiting for transport. In this case, the remaining stock quantity at each sales period may further include an in-transit stock quantity at the sales period.

For example, if the sales cycle includes N consecutive sales periods, the initial stock quantity of the target commodity at the sales start time point is S ₁ Then the following formula is used:

S _j ＝max(S _j-1 +A _j-1 -sp _j-1 ，0)，(1＜j≤N)

can calculate and obtain the initial stock quantity S of the target commodity in the j-th sales period _j The method comprises the steps of carrying out a first treatment on the surface of the Wherein A is _j-1 May be used to represent the on-transit inventory of the target commodity at the j-1 th sales period.

In other possible embodiments, since the sales condition of the seasonal commodity easily fluctuates greatly along with factors such as weather, events, activities, etc., the planned sum of sales of the target commodity in the sales cycle can be determined by combining the seasonal factor and the activity factor, thereby further improving the accuracy of the decision of the replenishment quantity for the seasonal commodity and being beneficial to further saving the inventory cost.

In this case, the determining the planned sum of sales amounts of the target commodity to be restocked in the sales period may specifically include: predicting the planned sales amount of the target commodity in each sales period, and weighting the prediction result by taking the seasonal coefficient and/or the activity coefficient as a weight coefficient to obtain the planned sales amount in each sales period; the sum of the planned sales amounts at each sales period is calculated to obtain the sum of the planned sales amounts at the sales period.

For example, the planned sales amount of the target commodity in each sales period may be predicted to obtain the predicted result sp _j Then the seasonal coefficient and the activity coefficient are used as weight coefficients to predict the resultsp _j Weighting to obtain planned sales sp of the target commodity in each sales period _j *tc _j *at _j The method comprises the steps of carrying out a first treatment on the surface of the Wherein tc _j Seasonal factor, at, that may be used to represent a jth sales period of the target good during the sales cycle _j An activity factor that may be used to represent a j-th sales period of the target commodity within the sales cycle; further, the following formula is used:

can calculate the planned sales volume sum sp of the target commodity in the sales period _s 。

The seasonal factors may include global seasonal factors and staged seasonal factors; the activity coefficients may specifically include global activity coefficients and stepwise activity coefficients.

In one possible embodiment, the weather conditions for different sales periods result in different sales of the same seasonal item in different sales periods, and thus the seasonal factors of the same seasonal item in different sales periods may be different. For example, the target article "2022 male and female warm suit" may have a seasonal factor of 1.5 at 1 month, 1.0 at 3 months, and 0.4 at 6 months.

In another possible embodiment, the sales activities of the same seasonal commodity in different sales activities may be different due to different preference levels of different sales activities. For example, if the target commodity "2022 male and female thermal suit" participates in sales activities such as "annual goods section", "double eleven", "double twelve", etc. for 1 month, 11 months, 12 months, the stepwise activity coefficient of the target commodity for 1 month may be 1.5, the stepwise activity coefficient for 11 months may be 2.0, and the stepwise activity coefficient for 12 months may be 1.8.

It should be noted that, in the embodiments shown above, the specific values of the seasonal factor and the activity factor are merely exemplary descriptions, and do not make any particular limitation on the disclosure.

The specific implementation manner of determining the activity coefficient can be calculated by means of a big data algorithm model, can be determined by precipitation based on experience of a business expert, can be comprehensively determined by combining sales data of each sales channel, and is not particularly limited.

Regarding the specific implementation manner of determining the seasonal factor, calculation may be performed based on the historical sales data of the target commodity, or the initial seasonal factor may be predicted based on the planned sales volume. For example, based on the historical sales of the target commodity at month 1 in 2020, month 1 in 2021, the predicted sales of the target commodity at month 1 in 2022 may be determined; planned sales volume at month 1 of 2022 may also be formulated; further, from the activity coefficient at 1 month in 2022, the initial season coefficient of the target commodity at 1 month in 2022 can be predicted by "season coefficient=planned sales amount/(predicted sales amount. Activity coefficient)".

In some possible embodiments, since the supplier has a certain production cost when mass-producing the goods, in order to improve the supply experience of the supplier, an additional replenishment amount corresponding to the purchase order initiated by the buyer may need to be added to the planned replenishment amount to reach the minimum order amount (MOQ, minimum order Quantity). In addition, since the supplier has a certain transportation cost when transporting the goods, in order to improve the supply experience of the supplier, an additional replenishment amount corresponding to the purchase order initiated by the buyer may need to be added to the planned replenishment amount to reach the bin (PS, packing Specification).

In this case, after calculating the planned replenishment amount of the target commodity in the sales cycle, the method may further include: and adjusting the planned replenishment quantity of the target commodity in the sales cycle based on the bin rules and/or the minimum order quantity to obtain the recommended replenishment quantity of the target commodity in the sales cycle.

For example, after the planned replenishment quantity Rep of the target commodity in the sales cycle is calculated, adjustment may be made based on the minimum amount of lift by the following formula:

Rep′＝max(Rep，MOQ)

the recommended replenishment quantity Rep' of the target commodity in the sales cycle can be obtained.

For another example, after the planned replenishment quantity Rep of the target commodity in the sales cycle is calculated, adjustment may be performed based on the bin rules by the following formula:

In other possible embodiments, in order to achieve both accuracy of the restocking volume decision and inventory management cost, different restocking dimensions (granularity) may be provided for the same seasonal commodity, so that the restocking system may perform restocking volume decision and inventory management for the seasonal commodity to be restocked based on different restocking dimensions.

In this case, the commodity attributes of the target commodity may include a first type attribute and a second type attribute; wherein the first type of attribute has a higher impact weight on the projected sales volume of the target commodity than the second type of attribute; the restocking dimensions corresponding to the target commodity may include one or more of SPU (Standard Product Unit, standardized product cell), SKC (Stock Keeping Classification, minimum inventory classification unit), SKU (Stock Keeping Unit, minimum inventory management unit); the same SPU can comprise SKCs with different first-type attributes; the same SKC may comprise SKUs of the same first type of attribute and different second type of attribute; the target commodity to be restocked comprises target commodities corresponding to target restocking dimensions in the plurality of restocking dimensions.

In one possible embodiment, the target commodity may be a commodity of clothing type; the first type of attribute can specifically comprise one or more attributes of color, fabric, pattern and collar type; the second type of attribute may specifically include one or more of size, brand, price, year, season.

For example, for the target commodity "2022 men and women's thermal suit," the restocking dimensions corresponding to the target commodity may include SPU, SKC, and SKU.

Wherein the SPU corresponding to the target commodity may include: 2022 antibacterial upgrading coffee carbon warm-keeping suit for men and women.

According to different versions and different colors, SKC corresponding to SPU [ 2022 antibacterial upgrade coffee carbon warm suit for men and women ]: the black (including M, L, XL, XXL) of the male type, [ white (including M, L, XL, XXL) of the male type, [ black (including S, M, L, XL) of the female type, [ white (including S, M, L, XL) of the female type ].

According to different sizes, SKUs corresponding to SKC (black for male version (containing M, L, XL, XXL) may include: a black M code for men, a black L code for men, a black XL code for men; similarly, SKUs corresponding to other SKCs may be presumed, and will not be described in detail herein.

Continuing with the example shown above, the target restocking dimension may be SKC; in this case, the restocking system may make a restocking amount decision for the target commodity corresponding to the SKC, thereby simultaneously taking into account the accuracy of the restocking amount decision for the seasonal commodity and the inventory management cost.

Alternatively, the target restocking dimension may be an SPU, in which case the restocking system may make restocking volume decisions for target commodities corresponding to the SPU, thereby minimizing the cost of restocking volume decisions and inventory management for seasonal commodities

Alternatively, the target restocking dimension may be SKU, in which case the restocking system may make a restocking volume decision for a target commodity corresponding to the SKU, thereby maximizing accuracy of the restocking volume decision for seasonal commodities.

For another example, for another target commodity, "autumn and winter trend both men and women are the same style of both jersey", the SPU corresponding to the target commodity may include [ natural primary colors autumn and winter jersey ].

Wherein, according to different collar types, SKC corresponding to SPU [ natural primary color autumn winter sweater ] may include: the method comprises the steps of (1) connecting a cap (comprising autumn average codes and winter average codes) with a cap (comprising autumn average codes and winter average codes) of a natural primary color, (b) connecting a cap (comprising autumn average codes and winter average codes) with a cap (comprising autumn average codes and winter average codes) of a natural primary color, (c) connecting a cap (comprising autumn average codes and winter average codes) with a cap (comprising autumn average codes and winter average codes) of a natural primary color.

According to different seasons, SKUs corresponding to SKC [ natural primary color with cap (including autumn average, winter average) ]mayinclude: the method comprises the steps of (1) natural primary color-cap connection-autumn-average code, (b) natural primary color-cap connection-winter-average code).

It should be noted that, in one or more embodiments shown above, the stock-replenishment dimension of SKC is not an existing general stock-management unit, but the inventor has found through research that, for the same seasonal commodity, the ratio of the seasonal commodity of the different second type attribute in the sales volume sum is generally relatively fixed; therefore, in the process of making a commodity replenishment quantity decision for seasonal commodities, the planned sum of sales quantities of the seasonal commodities with the same first type attribute in a sales cycle can be directly determined without considering the influence of the second type attribute on the sales quantity, and the planned commodity replenishment quantity of the seasonal commodities with the same first type attribute in the sales cycle is determined; further, the proportion of the seasonal commodities with different second type attributes in the planned sales volume can be determined according to the proportion of the seasonal commodities with different second type attributes in the planned sales volume sum.

For example, when a target commodity corresponding to SKC (female black (including S, M, L, and XL) is sold in northern areas, the ratio of S, M, L, and XL in the total of the historical sales amounts is typically 5%, 45%, 35%, and 15%; when a target commodity corresponding to SKC (female black (including S, M, L, and XL) is sold in the south, the S, M, L, and XL are typically present in the total of the historical sales amounts at 45%, 35%, 15%, and 5%. Therefore, the replenishment system can make a replenishment quantity decision for the target commodity corresponding to the SKC (the female pattern is black (including the S-level, the M-level, the L-level and the XL-level), and then determine the planned replenishment quantity respectively corresponding to different sizes included in the SKU according to the sales occupation ratio of the different sizes.

In the above embodiment, on the one hand, since the planned replenishment amount of the target commodity to be replenished in the sales cycle may be calculated based on the sum of the planned sales amounts of the target commodity in the sales cycle and the initial inventory amount at the sales start time point, the accuracy of the replenishment amount decision for seasonal commodities may be improved, which is beneficial to saving the inventory cost.

On the other hand, the calculated planned goods replenishment quantity of the target goods in the sales cycle can enable the residual stock quantity of the target goods at the sales ending time point not to exceed the preset quantity, so that the stock quantity of the seasonal goods at the end of the current sales cycle can be reduced as much as possible by combining the planned sales quantity of the seasonal goods and the sales ending time point to make the goods replenishment quantity decision, the accuracy of the goods replenishment quantity decision for the seasonal goods is improved, and the stock cost is saved.

In order to facilitate a better understanding of embodiments of the present disclosure by those skilled in the art, embodiments of the present disclosure will be described in detail below with reference to the example of a restocking decision for seasonal goods.

For example, assume that the current time is 2022, 1 st, the sales cycle of the target commodity to be restocked is "2022, 1 st", that is, the sales start time point of the target commodity is "2022/01/01 00:00", and the sales end time point of the target commodity is "2022/01/31, 23:59. The sales cycle may be divided into 31 consecutive sales periods with "day" as a unit.

Assume that the initial inventory of the target commodity at the point in time of the start of sales may be 510 pieces; the in-transit stock quantity of the target commodity includes 500 pieces to be stocked at 2022, 1 month and 5 days, and 500 pieces to be stocked at 2022, 1 month and 14 days. The preset number may be 0, that is, the stock amount of the target commodity is cleared at the end of the sales cycle.

Assuming that the planned sales amount of the target commodity in each sales period is 100; that is, the planned sales amount of the target commodity in the sales cycle is 3100 pieces in total. It should be noted that, the planned sales amount of the target commodity in each sales period is 100, which is merely an exemplary description manner, and is convenient for illustration, and the disclosure is not limited in particular.

Assume that the time of arrival may be 2022, 1 month, 10 days. It should be noted that the arrival time point is only an exemplary description, and does not make a specific limitation on the present disclosure; the arrival time point is related to factors such as the time of placing the purchase order, the duration of the purchase cycle, and the like.

Based on the above assumption, the restocking system may calculate an initial stock amount of the target commodity at each sales period, a stock amount at each sales period, a planned sales amount at each sales period, a remaining stock amount at each sales period, and a planned restocking amount at a sales period. Referring to the exemplary data shown in table 1,

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TABLE 1

As shown in table 1, the restocking system may be represented by the following formula:

the initial stock amount at the time point of arrival (1 month and 10 days) was calculated to be 110 pieces, and the planned restocking amount at the sales cycle was calculated to be 1590 pieces (assuming that the preset amount is 0).

For the embodiments shown above, please refer to fig. 3, fig. 3 is a schematic diagram of an inventory curve provided by an exemplary embodiment. As shown in fig. 3, in the case where the planned replenishment quantity of the target commodity in the sales cycle is 1590 pieces, the remaining stock quantity of the target commodity in 1 month and 1 day is 410 pieces; further, as daily offsets are made to the projected sales of the target commodity, the remaining inventory of the target commodity is continually reduced; the first batch of in-transit inventory is put in storage until 1 month and 5 days, and the residual inventory of target commodities is 510; further, as daily offsets are made to the projected sales of the target commodity, the remaining inventory of the target commodity is continually reduced; warehousing the goods-supplementing goods corresponding to the planned goods-supplementing quantity until 1 month and 10 days, wherein the residual stock quantity of the target goods is 1600 goods; further, as daily offsets are made to the projected sales of the target commodity, the remaining inventory of the target commodity is continually reduced; until 1 month and 14 days, warehousing the second batch of in-transit stock quantity, wherein the residual stock quantity of the target commodity is 1700; further, as daily offsets are made to the projected sales of the target commodity, the remaining inventory of the target commodity is continually reduced; until 31 days of 1 month, the residual stock quantity of the target commodity is 0, and the aim of resetting the stock quantity of the target commodity at the end of the sales period is fulfilled.

Exemplary System

In an exemplary embodiment of the present disclosure, a merchandise replenishment system is also provided.

Referring to fig. 4, fig. 4 is a block diagram of a commodity replenishment system according to an exemplary embodiment.

As shown in fig. 4, the merchandise replenishment system 400 may include: sales volume determination module 401, inventory volume determination module 402, and restocking volume determination module 403. Wherein:

a sales amount determining module 401, configured to determine a planned sum of sales amounts of target commodities to be restocked in a sales period; wherein the sales cycle includes a time interval from a sales start time point to a sales end time point;

a stock quantity determination module 402 for determining an initial stock quantity of the target commodity at a sales start time point;

a replenishment quantity determining module 403, configured to calculate a planned replenishment quantity of the target commodity in the sales cycle based on a difference between the sum of planned sales quantities in the sales cycle and the initial stock quantity at the sales start time point, so that a remaining stock quantity of the target commodity at the sales end time point does not exceed a preset quantity; wherein the remaining inventory at the point in time of the end of sales is the difference between the total inventory at the sales cycle and the sum of the planned sales at the sales cycle; the total stock quantity in the sales period is the sum value between the initial stock quantity at the sales start time point and the planned replenishment quantity in the sales period.

In one embodiment, the sales cycle includes: a first sales sub-period from a point of sales start time to a point of restocking time, and a second sales sub-period from the point of restocking time to a point of sales end time; the replenishment time point is used for representing a warehousing time point of the replenishment commodity corresponding to the target commodity in a sales period;

the planned sales volume sum in the sales cycle includes: a first projected sales volume sum over a first sales sub-period and a second projected sales volume sum over a second sales sub-period;

the replenishment quantity determining module 403 is specifically configured to:

calculating an initial inventory amount of the target commodity at a restocking time point based on a difference between the initial inventory amount at the sales start time point and the first planned sales amount sum at the first sales sub-period;

and calculating the planned replenishment quantity of the target commodity in the sales period based on the difference between the sum of the second planned sales quantities in the second sales sub-period and the initial stock quantity at the replenishment time point.

In one embodiment, the sales cycle includes a plurality of consecutive sales periods; the sum of planned sales amounts in the sales period including a sum of planned sales amounts in respective sales periods of the plurality of sales periods;

The initial inventory level for each sales period in the plurality of sales periods is the remaining inventory level for the last sales period in the sales period;

the remaining inventory level at each sales period is the difference between the initial inventory level at that sales period and the projected sales level at that sales period;

the planned replenishment quantity in the sales cycle includes a sum of planned replenishment quantities for respective sales periods included in the second sales sub-cycle;

calculating, for each sales period contained in the second sales sub-period, a difference between a planned sales amount at the sales period and an initial inventory amount at the sales period;

determining the planned replenishment quantity in the sales period to be the difference between the planned sales quantity in the sales period and the initial inventory quantity in the sales period if the difference between the planned sales quantity in the sales period and the initial inventory quantity in the sales period is greater than 0;

if the difference between the planned sales amount during the sales period and the initial inventory amount during the sales period is greater than 0, it is determined that the planned replenishment amount during the sales period is 0.

In one embodiment, the remaining inventory levels at each sales interval further include the on-the-way inventory levels at the sales interval.

In one embodiment, the sales determining module 401 is specifically configured to:

predicting the planned sales amount of the target commodity in each sales period, and weighting the prediction result by taking the seasonal coefficient and/or the activity coefficient as a weight coefficient to obtain the planned sales amount in each sales period;

the sum of the planned sales amounts at each sales period is calculated to obtain the sum of the planned sales amounts at the sales period.

In an embodiment, the commodity attributes of the target commodity include a first type attribute and a second type attribute; wherein the first type of attribute has a higher impact weight on the projected sales volume of the target commodity than the second type of attribute;

the restocking dimension corresponding to the target commodity comprises one or more restocking dimensions in an SPU standardized product unit, a SKC minimum inventory classification unit and a SKU minimum inventory management unit; the same SPU comprises SKCs with different first type attributes; the same SKC comprises SKUs with the same first type of attribute and different second type of attribute;

The target commodity to be restocked comprises target commodities corresponding to target restocking dimensions in the plurality of restocking dimensions.

In one embodiment, the target commodity is a commodity of the clothing class;

the first type of attribute comprises one or more attributes of color, fabric, pattern and collar type;

the second type of attribute includes one or more of size, brand, price, year, season.

In an embodiment, the replenishment quantity determining module 403 is further configured to:

and adjusting the planned replenishment quantity of the target commodity in the sales cycle based on the bin rules and/or the minimum order quantity to obtain the recommended replenishment quantity of the target commodity in the sales cycle.

The specific details of the above-mentioned respective modules of the commodity replenishment system 400 are described in detail in the foregoing description of the commodity replenishment method flow, and thus, a detailed description thereof is omitted here.

It should be noted that although several modules or units of the merchandise replenishment system 400 are mentioned in the detailed description above, such partitioning is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Exemplary Medium

In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.

Referring to fig. 5, fig. 5 is a schematic diagram of a readable storage medium corresponding to a method for replenishing goods according to an exemplary embodiment.

Referring to fig. 5, a readable storage medium 500 for implementing the above-described method according to an embodiment of the present disclosure is described, which 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. However, the readable storage medium of the present disclosure is not limited thereto, and in the present disclosure, the 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.

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

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. 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 of the foregoing. 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 of the present disclosure 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, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through 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., connected via the Internet using an Internet service provider).

Exemplary electronic device

In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above-mentioned commodity replenishment method is also provided.

Referring to fig. 6, fig. 6 is a schematic diagram of an electronic device capable of implementing the method according to an exemplary embodiment.

An electronic device 600 according to such an embodiment of the present disclosure is described below with reference to fig. 6. The electronic device 600 shown in fig. 6 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.

As shown in fig. 6, the electronic device 600 is in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: the at least one processing unit 601, the at least one memory unit 602, a bus 603 connecting the different system components, including the memory unit 602 and the processing unit 601.

Wherein the storage unit stores program code executable by the processing unit 601 such that the processing unit 601 performs the steps of the various embodiments described herein.

The memory unit 602 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 6021 and/or cache memory 6022, and may further include Read Only Memory (ROM) 6023.

The storage unit 602 may also include a program/usage tool 6024 having a set (at least one) of program modules 6025, such program modules 6025 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which may include the reality of a network environment, or some combination thereof.

Bus 603 may be one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 600 may also communicate with one or more external devices 604 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any devices (e.g., routers, modems, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 605. Also, the electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through a network adapter 606. As shown, the network adapter 606 communicates with other modules of the electronic device 600 over the bus 603. It should be appreciated that although not shown in fig. 6, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be noted that although several units/modules or sub-units/modules of the apparatus are mentioned in the above detailed description, this division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present disclosure. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.

Furthermore, although the operations of the methods of the present disclosure are depicted in the drawings in a particular order, this is not required to or suggested that these operations must be performed in this particular order or that all of the illustrated operations must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.

While the spirit and principles of the present disclosure have been described with reference to several particular embodiments, it is to be understood that this disclosure is not limited to the particular embodiments disclosed nor does it imply that features in these aspects are not to be combined to benefit from this division, which is done for convenience of description only. The disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A method of restocking a commodity, the method comprising:

2. The method of claim 1, the sales cycle comprising: a first sales sub-period from a point of sales start time to a point of restocking time, and a second sales sub-period from the point of restocking time to a point of sales end time; the replenishment time point is used for representing a warehousing time point of the replenishment commodity corresponding to the target commodity in a sales period;

the calculating the planned replenishment quantity of the target commodity in the sales cycle based on the difference between the sum of the planned sales quantities in the sales cycle and the initial stock quantity at the sales start time point includes:

3. The method of claim 2, the sales cycle comprising a plurality of consecutive sales periods; the sum of planned sales amounts in the sales period including a sum of planned sales amounts in respective sales periods of the plurality of sales periods;

the initial inventory level for each sales period in the plurality of sales periods is the remaining inventory level for the last sales period in the sales period; the remaining inventory level at each sales period is the difference between the initial inventory level at that sales period and the projected sales level at that sales period;

the calculating the planned replenishment quantity of the target commodity in the sales cycle based on the difference between the second planned sales quantity sum in the second sales sub-cycle and the initial stock quantity at the replenishment time point includes:

4. The method of claim 3, the remaining inventory at each sales interval further comprising an on-the-way inventory at the sales interval.

5. A method according to claim 3, said determining a planned sum of sales of target items to be restocked in a sales cycle comprising:

6. The method of claim 1, the commodity attributes of the target commodity comprising a first type of attribute and a second type of attribute; wherein the first type of attribute has a higher impact weight on the projected sales volume of the target commodity than the second type of attribute;

7. The method of claim 1, the method further comprising:

8. A merchandise replenishment system, the system comprising:

9. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to perform the method of any of the preceding claims 1-7.

10. A computer readable storage medium having stored thereon a computer program which when executed by a processor implements the method of any of the preceding claims 1-7.