CN116934230B - Inventory management method and system for pre-packaged commodity - Google Patents
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Abstract
The invention provides an inventory management method and system for pre-packaged commodities. The invention carries out the association management of the pre-package task and the stock of the sku, and can effectively prevent the mutual influence of the stock of the pre-package order and the stock of the non-pre-package order.
Description
Technical Field
The invention relates to the technical field of product sales, in particular to an inventory management method and system for pre-packaged commodities.
Background
When a merchant does activities, the merchant can package according to the combination of the active commodities in advance, and directly seal boxes to deliver goods after the merchant starts greatly so as to relieve packaging pressure. However, the sku (single item) in the pre-packaged commodity is sold separately, and the sold order entry system occupies commodity inventory. Some of the sku inventory may be insufficient when the pre-package order enters the system during the equi-period, affecting the merchant sales plan. Referring to fig. 1, the conventional pre-package sales flow is described as follows:
1) Before the operator promotes greatly, the operator can plan the pre-package number M according to the pre-package commodity stock and the activity estimated single quantity, and a pre-package task is created. Such as a combination of 1 sku1+1 sku2+1 sku3 for the active pre-package commodity.
2) The merchant is still selling sku1 alone before the start of the campaign, and will continuously book sku1 inventory whenever an order for item sku1 enters the system, resulting in the inventory of sku1 being consumed continuously.
3) When the campaign comes, the merchant starts selling the combined pre-packaged goods, the pre-packaged order starts entering the system, and starts consuming stock for sku1, sku2, sku 3.
4) Due to the excessive sales of the single product orders of the sku1, the stock of the sku1 is exhausted after a certain time, and the stock reservation of the sku1 cannot be completed by the subsequent pre-packaged orders newly entering the system. At this point, the pre-package order that has entered the system is still less than the planned number M, and the sku1 in the packaged pre-package is sold by the individual order.
5) The merchant can only unpack the unpacked pre-package and ship the order for the individual. Greatly influencing the sales plan of the merchant.
The technical problem is solved by the scheme related to the invention.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a pre-packaged commodity inventory management method, a pre-packaged commodity inventory management system, electronic equipment and a computer storage medium.
A first aspect of the present invention provides a method of inventory management of pre-packaged goods, comprising the steps of:
s1, determining the quantity of pre-packaged commodities, and creating a pre-package plan in an oms system; wherein the pre-package plan comprises a pre-package number, a plurality of types of pre-package single products contained in each pre-package and a first number corresponding to each pre-package single product;
s2, pushing the pre-package plan to a wms system for pre-package when the pre-package plan meets a first condition, and adjusting a second quantity of the inventory related to each pre-package item in the inventory system to be a third quantity = initial available inventory-first quantity;
s3, according to the received single product order, the corresponding stock quantity in the stock system, namely the third quantity, is adjusted, and according to the received pre-package order, the corresponding stock in the stock system, namely the pre-package quantity, is adjusted.
In some embodiments, the pre-package plan satisfies a first condition, comprising:
the oms system queries an inventory system for an initial available inventory of each of the pre-packaged singlets for a pre-package plan, and sets the pre-package plan to satisfy the first condition when the initial available inventory of each of the pre-packaged singlets is greater than a first quantity by a pre-package quantity.
In some embodiments, the method further comprises:
when the specified time node is reached, if the pre-package still remains, closing the pre-package, requesting an inventory system to release the remaining pre-package single products in the pre-package, and adding the fourth quantity corresponding to each pre-package single product to the corresponding fifth quantity in the inventory system;
wherein the fifth number is the corresponding available inventory in the inventory system for the released pre-packaged unit at the designated time node.
In some embodiments, in step S1, the determining the number of pre-packaged goods includes:
determining sales prediction curves of a plurality of types of pre-packaged single products related to the pre-packaged commodity; wherein said sales prediction curve comprises a separate first sales prediction curve for each of said pre-packaged units and a second sales prediction curve comprising a combination of at least two of said pre-packaged units;
and predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve and the second sales prediction curve, and determining the pre-packaged quantity of the pre-packaged commodity according to the current predicted sales.
In some embodiments, determining the sales prediction curve for the pre-packaged singleton comprises:
predicting a third sales prediction curve according to the historical sales data of the pre-packaged single product and the influence factor data, and fusing the third sales prediction curves of at least two pre-packaged single products to obtain a fourth sales prediction curve;
and determining data corresponding to a rear curve of the first ratio of the third sales volume prediction curve and a rear curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data, thereby obtaining the first sales volume prediction curve and the second sales volume prediction curve.
In some embodiments, the determining data corresponding to the posterior segment curve of the first ratio of the third sales volume prediction curve and the posterior segment curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the remaining curve segments as history data includes:
calculating sales volume fluctuation equivalent amplitude according to the historical sales volume data of the pre-packaged single product, and determining the first ratio according to the sales volume fluctuation equivalent amplitude;
calculating a weighted average value of the first ratio corresponding to at least two pre-packaged products, and taking the weighted average value as the second ratio;
and determining data corresponding to a rear curve of the first ratio of the third sales volume prediction curve and a rear curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data.
In some embodiments, the predicting the predicted sales of the pre-packaged commodity according to the first sales prediction curve and the second sales prediction curve includes:
judging whether the pre-packaged single product meeting a second condition exists in the pre-packaged commodity or not;
if yes, predicting the predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and a random factor pair;
if not, predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and the fixed factor pair.
The second aspect of the invention provides an inventory management system of pre-packaged commodities, which comprises a prediction module, a processing module and a storage module, wherein the processing module is connected with the prediction module and the storage module; wherein,
the memory module is used for storing executable computer program codes;
the prediction module is used for determining the quantity of the pre-packaged commodities and sending the quantity of the pre-packaged commodities to the processing module;
the processing module is configured to implement the method according to any one of the preceding claims by calling the executable computer program code in the storage module to manage the inventory of pre-packaged goods.
A third aspect of the present invention provides an electronic device comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.
A fourth aspect of the invention provides a computer storage medium storing a computer program which, when executed by a processor, implements steps for carrying out the various method embodiments described above.
A fifth aspect of the invention provides a computer program product enabling a terminal to carry out the steps of the various method embodiments described above when the computer program product is run on the terminal.
The invention has the beneficial effects that:
compared with the prior art, the invention carries out association management on the pre-packaged task and the stock of the sku, and specifically: when the pre-package task is established, the inventory of pre-package single products related to the pre-package task is isolated, other non-pre-package orders are forbidden to use, the non-pre-package orders can only use the deducted inventory, and the mutual influence of the inventory of the pre-package orders and the non-pre-package orders is effectively prevented.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a method of inventory management of existing pre-packaged goods in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of a method for inventory management of pre-packaged goods according to an embodiment of the present invention;
3-5 are schematic diagrams of links involved in a method for inventory management of pre-packaged goods according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an inventory management system for pre-packaged goods according to an embodiment of the present invention.
Description of the embodiments
Other advantages and advantages of the present application will become apparent to those skilled in the art from the following description of specific embodiments, which is to be read in light of the present disclosure, wherein the present embodiments are described in some, but not all, of the several embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In addition, the technical features described below in the different embodiments of the present application may be combined with each other as long as they do not collide with each other.
Some terms involved in the present invention are explained as follows:
in the prior art, the packing plan of a merchant is not related to inventory, and the packing task is not concerned in the process of selling and reservation of an order. The packaged pre-packaged goods can still be reserved by other non-pre-packaged orders. But not because of the active, pre-package tasks, the sales of non-pre-package orders are stopped. Therefore, a management mode is needed to ensure that the commodity inventory in the pre-package plan is not used by other orders after the pre-package plan is created, and normal single-product order sales are not affected. The following means according to the present invention aims to solve this technical problem.
As shown in fig. 2-5, an embodiment of the present invention provides a method for inventory management of pre-packaged goods, including the steps of:
s1, determining the quantity of pre-packaged commodities, and creating a pre-package plan in an oms system; wherein the pre-package plan comprises a pre-package number, a plurality of types of pre-package single products contained in each pre-package and a first number corresponding to each pre-package single product;
specifically, the inventory of the pre-packaged corresponding commodities for the current activity is queried before the activity starts, and after the pre-packaged commodities and the quantity are determined, a pre-packaged plan A is established in the oms system. The pre-packet A contains X number of skus 1, Y number of skus 2, Z number of skus 3, and M number is needed in total.
S2, pushing the pre-package plan to a wms system for pre-package when the pre-package plan meets a first condition, and adjusting a second quantity of the inventory related to each pre-package item in the inventory system to be a third quantity = initial available inventory (i.e., second quantity) -first quantity;
further, the pre-package plan satisfies a first condition, including:
the oms system queries an inventory system for an initial available inventory of each of the pre-packaged singlets for a pre-package plan, and sets the pre-package plan to satisfy the first condition when the initial available inventory of each of the pre-packaged singlets is greater than a first quantity by a pre-package quantity.
Specifically, when the pre-package plan is established, the oms system requests the inventory system to lock the inventory of the pre-package commodity, and locking of sku 1M X, sku 2M Y, sku 3M Z is required. If the initial available inventory of each sku is sufficient, all locking is successful, namely, the available inventory of sku 1=the initial available inventory of sku 1-x×m is greater than or equal to 0, the available inventory of sku 2=the initial available inventory of sku 2-y×m is greater than or equal to 0, the available inventory of sku 3=the initial available inventory of sku 3-z×m is greater than or equal to 0, and a pre-package level inventory, namely, pre-package A and available inventory M, is created. And then pushing the pre-package plan to a wms system, wherein the pre-package plan is successfully established, and warehouse personnel can package and pack the combined commodity in advance according to the pre-package plan.
In addition, if a certain sku stock is insufficient, locking is impossible, the establishment of the pre-package plan fails, and an operator is required to inquire the latest stock quantity and perform operation again.
S3, according to the received single product order, the corresponding stock quantity in the stock system, namely the third quantity, is adjusted, and according to the received pre-package order, the corresponding stock in the stock system, namely the pre-package quantity, is adjusted.
1) After the start of the campaign, if there is a single item order entry system including sku1, the order request inventory system will try to reserve the inventory of sku1, if sku1 available inventory > order needs inventory, then the order reservation is successful, sku1 available inventory = sku1 initial available inventory-pre-package order needed inventory (i.e., X M). After a predetermined success, oms pushes the order to wms for shipment. If the reservation fails, the order will stay with the oms system. It can be seen that the calculated sku1 inventory in this flow is available and the number of sku1 needed for pre-package has been removed, so that the calculation does not affect the use of pre-package orders anyway.
2) After the activity starts, if the pre-package A order entry system exists, the order can request the inventory system to try to reserve the inventory of the pre-package A, if the available inventory of the pre-package A is greater than the required inventory of the order, the pre-package reservation is successful, and the oms system pushes the pre-package order to the wms system for pre-package delivery. If the pre-package inventory is insufficient, the reservation fails and the order will stay in the oms system. The inventory of pre-packaged goods must be sufficient if the pre-package subscription is successful because it has been previously locked when the pre-package schedule was created.
It can be seen that, according to the design described above, the inventory between the pre-packaged order and the order of the order item in the present invention does not affect each other.
Compared with the prior art, the invention carries out association management on the pre-packaged task and the stock of the sku, and specifically: when the pre-package task is established, the inventory of pre-package single products related to the pre-package task is isolated, other non-pre-package orders are forbidden to use, the non-pre-package orders can only use the deducted inventory, and the mutual influence of the inventory of the pre-package orders and the non-pre-package orders is effectively prevented.
In some embodiments, the method further comprises:
when the specified time node is reached, if the pre-package still remains, closing the pre-package, requesting an inventory system to release the remaining pre-package single products in the pre-package, and adding the fourth quantity corresponding to each pre-package single product to the corresponding fifth quantity in the inventory system;
wherein the fifth number is the corresponding available inventory in the inventory system for the released pre-packaged unit at the designated time node.
In some embodiments, in step S1, the determining the number of pre-packaged goods includes:
determining sales prediction curves of a plurality of types of pre-packaged single products related to the pre-packaged commodity; wherein said sales prediction curve comprises a separate first sales prediction curve for each of said pre-packaged units and a second sales prediction curve comprising a combination of at least two of said pre-packaged units;
and predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve and the second sales prediction curve, and determining the pre-packaged quantity of the pre-packaged commodity according to the current predicted sales.
In this embodiment, the present invention predicts sales for each individual item and individual item combination based on data relating to the various individual items involved in the pre-packaged commodity, resulting in individual and combined sales prediction curves. And then, comprehensively analyzing according to the two types of the plurality of sales quantity prediction curves of the single products related to the pre-packaged commodity, so as to obtain the predicted sales quantity obtained when the plurality of single products of the corresponding type are packaged and sold, and determining the quantity of the pre-packaged commodity required to be packaged and sold in the current activity according to the predicted sales quantity.
Note that, the sales prediction curve does not include all types of pre-packaged items in the pre-packaged commodity, because the curve needs to be comprehensively predicted later, for example, assuming that 5 items are involved in the pre-packaged commodity, the sales prediction curve includes only sales prediction curves of 1, 2, 3, and 4 items.
In some embodiments, determining the sales prediction curve for the pre-packaged singleton comprises:
predicting a third sales prediction curve according to the historical sales data of the pre-packaged single product and the influence factor data, and fusing the third sales prediction curves of at least two pre-packaged single products to obtain a fourth sales prediction curve;
and determining data corresponding to a rear curve of the first ratio of the third sales volume prediction curve and a rear curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data, thereby obtaining the first sales volume prediction curve and the second sales volume prediction curve.
In the embodiment, the corresponding third sales prediction curve is predicted according to the historical sales data and the influence factor data of each single type of pre-packaged single product, the front section of the third sales prediction curve is real historical data, and the tail section is prediction data. And fusing the third sales prediction curves of at least two pre-packaged single products to obtain a fourth sales prediction curve for the single product combination. And finally, the duty ratio of the real historical data and the predicted data in the third sales volume predicted curve and the fourth sales volume predicted curve is adjusted, so that predicted curve data for the subsequent sales volume is obtained.
The third sales volume prediction curve can be obtained by comprehensively analyzing the historical sales volume data of the single product and a plurality of sales volume influence factors, specifically, the real historical sales volume data and the real-time data related to each sales volume influence factor are input into a sales volume prediction model, and the sales volume prediction model can output a predicted third sales volume prediction curve according to the real historical sales volume data and the real-time data related to each sales volume influence factor. The sales influencing factors include geographical data, weather data, solar terms data (including traditional holidays such as spring festival, noon festival, national celebration festival, etc., and novel holidays such as 618, double 11, etc.), etc., and the sales prediction model can be established by adopting the existing prediction algorithm, such as LSTM algorithm, various neural network algorithms, etc.
In some embodiments, the determining data corresponding to the posterior segment curve of the first ratio of the third sales volume prediction curve and the posterior segment curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the remaining curve segments as history data includes:
calculating sales volume fluctuation equivalent amplitude according to the historical sales volume data of the pre-packaged single product, and determining the first ratio according to the sales volume fluctuation equivalent amplitude;
calculating a weighted average value of the first ratio corresponding to at least two pre-packaged products, and taking the weighted average value as the second ratio;
and determining data corresponding to a rear curve of the first ratio of the third sales volume prediction curve and a rear curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data.
In this embodiment, the present application predicts step by step based on the actual part of the historical sales data, where the historical sales data may be [ Ht1, ht2, ht3, ht4, ht5, ht6, ht7, ht8, ht9, ht10], and Ht1 to Ht10 represent the historical sales data of a certain individual in the previous sampling period, but the predicting is not based on Ht1 to Ht10, but predicts the predicted value of Ht7, i.e., ft7, according to Ht1 to Ht6, and predicts the predicted value of Ht8, i.e., ft8, according to Ht1 to Ft7, and the cycle is repeated to obtain third sales prediction curves [ Ht1, ht2, ht3, ht4, ht5, ht6, ft7, ft8, ft9, ft10], and then the third sales prediction curves of at least two individual pre-packages are fused to obtain a fourth sales prediction curve.
Meanwhile, the predicted data in the third sales predicting curve and the fourth sales predicting curve have more randomness and unreliability than the real data, and the larger the predicted data ratio is, the more obvious the randomness and unreliability is. The invention then adjusts the predicted data duty cycle in both prediction curves. Specifically, the equivalent sales volume fluctuation amplitude (the equivalent sales volume fluctuation amplitude is an overall evaluation value of sales volume fluctuation between time periods, which can be an average fluctuation amplitude, a weighted fluctuation amplitude and the like, and is not particularly limited) of the pre-packaged single product is calculated according to the historical sales volume data of the pre-packaged single product, the larger the equivalent sales volume fluctuation amplitude is, the larger the probability that the sales volume of the single product is influenced by external factors is, at the moment, the first ratio can be increased, namely the duty ratio of predicted data in a third sales volume prediction curve is increased, so that the probability that the predicted sales volume value is large can be indirectly increased, and a merchant is promoted to prepare more pre-packaged commodities. Otherwise, the smaller the probability that the sales volume of the single product is influenced by external factors, the smaller the first ratio can be adjusted at the moment, namely the ratio of the predicted data in the third sales volume prediction curve is reduced, so that sales volume trend prediction can be performed by more depending on real historical data, the higher the authenticity is, and the probability of misleading excessive stock pre-packaged commodities of merchants is reduced. In addition, since the prediction result may be too high or too low, and the too low may cause insufficient stock of the pre-packaged commodity of the merchant, which is disadvantageous for sales and quick delivery, the prediction sales amount must be further set to be higher than a certain threshold value, and the threshold value is directly assigned as the prediction sales amount when the prediction sales amount is lower than the threshold value.
When determining the weighting coefficient of the first ratio of the pre-packaged product, the weighting coefficient can be determined according to the equivalent amplitude of sales fluctuation, and the larger the equivalent amplitude of sales fluctuation is, the larger the weighting coefficient corresponding to the first ratio is, and the smaller the anti-regularization is. By the arrangement, the size of the second ratio can be improved, and the duty ratio of the predicted data in the second sales predicting curve can be improved, so that the beneficial technical effects are achieved.
In some embodiments, the predicting the predicted sales of the pre-packaged commodity according to the first sales prediction curve and the second sales prediction curve includes:
judging whether the pre-packaged single product meeting a second condition exists in the pre-packaged commodity or not;
if yes, predicting the predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and a random factor pair;
if not, predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and the fixed factor pair.
In this embodiment, the individual items involved in the pre-packaged commodity may be either conventional or new. For the traditional product, a fixed factor can be determined based on the historical data to integrate the first sales volume prediction curve and the second sales volume prediction curve, for example, the weight coefficient of each curve is adjusted based on the historical data and the appointed factor, and then the weighted sum is carried out on all the curves to obtain an equivalent curve, and sales volume prediction is carried out according to the equivalent curve. The new product is devoid of historical data, at this time, a random factor is used to integrate the first sales volume prediction curve and the second sales volume prediction curve, for example, with a plurality of similar products (fields, effects, user types, etc.) as reference standards, the sales data of the similar products in the time period of marketing is used to determine the upper limit and the lower limit of the growth rate of the sales curve, and a random factor is randomly determined in the interval of [ upper limit, lower limit ], and obviously, the random factor is used to characterize the degree of hot sales of the new product in the time period of marketing.
The second condition refers to the absence of historical sales data for the corresponding pre-packaged unit or an insufficient amount of data for the historical sales data.
It should be noted that, since sales performance of the product is affected by a plurality of factors, and the determined functional relationship is almost impossible to determine, the present invention preferably uses a prediction model based on an AI algorithm to perform prediction processing on the first sales prediction curve and the second sales prediction curve, wherein a random factor or a fixed factor is used for performing an intervention adjustment.
As shown in fig. 6, the embodiment of the invention further provides an inventory management system for pre-packaged commodities, which comprises a prediction module, a processing module and a storage module, wherein the processing module is connected with the prediction module and the storage module; wherein,
the memory module is used for storing executable computer program codes;
the prediction module is used for determining the quantity of the pre-packaged commodities and sending the quantity of the pre-packaged commodities to the processing module;
the processing module is configured to implement the method according to any one of the preceding claims by calling the executable computer program code in the storage module to manage the inventory of pre-packaged goods.
The embodiment of the invention also provides electronic equipment, which comprises: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, which when executed by the processor performs the steps of any of the various method embodiments described above.
Embodiments of the present invention also provide a computer readable storage medium storing a computer program which, when executed by a processor, implements steps for implementing the various method embodiments described above.
Embodiments of the present invention provide a computer program product which, when run on a terminal, causes the terminal to perform steps that enable the implementation of the method embodiments described above.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are referred to each other, and each embodiment is mainly described as different from other embodiments. In particular, reference is made to the description of embodiments of the method described above for reference to embodiments of the client.
Although the present application has been described by way of embodiments, those of ordinary skill in the art will recognize that there are many variations and modifications of the present application without departing from the spirit of the present application, and it is intended that the appended claims encompass such variations and modifications without departing from the spirit of the present application.
Claims (7)
1. A method of inventory management of pre-packaged goods, characterized by: the method comprises the following steps:
s1, determining the quantity of pre-packaged commodities, and creating a pre-package plan in an oms system; wherein the pre-package plan comprises a pre-package number, a plurality of types of pre-package single products contained in each pre-package and a first number corresponding to each pre-package single product;
s2, pushing the pre-package plan to a wms system for pre-package when the pre-package plan meets a first condition, and adjusting a second quantity of the inventory related to each pre-package item in the inventory system to be a third quantity = initial available inventory-first quantity;
s3, adjusting the corresponding inventory quantity in the inventory system, namely the third quantity, according to the received single product order, and adjusting the corresponding inventory in the inventory system, namely the pre-package quantity, according to the received pre-package order;
in step S1, the determining the number of pre-packaged commodities includes:
determining sales prediction curves of a plurality of types of pre-packaged single products related to the pre-packaged commodity; wherein said sales prediction curve comprises a separate first sales prediction curve for each of said pre-packaged units and a second sales prediction curve comprising a combination of at least two of said pre-packaged units;
predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve and the second sales prediction curve, and determining the pre-packaged quantity of the pre-packaged commodity according to the current predicted sales;
determining the sales prediction curve for the pre-packaged singlets, comprising:
predicting a third sales prediction curve according to the historical sales data of the pre-packaged single product and the influence factor data, and fusing the third sales prediction curves of at least two pre-packaged single products to obtain a fourth sales prediction curve;
determining data corresponding to a rear curve of a first ratio of the third sales volume prediction curve and a rear curve of a second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data, so as to obtain the first sales volume prediction curve and the second sales volume prediction curve;
and determining data corresponding to a rear curve of the first ratio of the third sales predicting curve and a rear curve of the second ratio of the fourth sales predicting curve as predicted data, and determining data of the rest curve segments as historical data, wherein the determining comprises the following steps:
calculating sales volume fluctuation equivalent amplitude according to the historical sales volume data of the pre-packaged single product, and determining the first ratio according to the sales volume fluctuation equivalent amplitude;
calculating a weighted average value of the first ratio corresponding to at least two pre-packaged products, and taking the weighted average value as the second ratio;
determining data corresponding to a rear curve of the first ratio of the third sales volume prediction curve and a rear curve of the second ratio of the fourth sales volume prediction curve as prediction data, and determining data of the rest curve segments as historical data;
wherein the first ratio is positively correlated with the sales fluctuation equivalent amplitude.
2. The method of inventory management of pre-packaged goods according to claim 1, wherein: the pre-package plan satisfies a first condition, comprising:
the oms system queries an inventory system for an initial available inventory of each of the pre-packaged singlets for a pre-package plan, and sets the pre-package plan to satisfy the first condition when the initial available inventory of each of the pre-packaged singlets is greater than a first quantity by a pre-package quantity.
3. A method of inventory management of pre-packaged goods as claimed in claim 2, wherein: the method further comprises the steps of:
when the specified time node is reached, if the pre-package still remains, closing the pre-package, requesting an inventory system to release the remaining pre-package single products in the pre-package, and adding the fourth quantity corresponding to each pre-package single product to the corresponding fifth quantity in the inventory system;
wherein the fifth number is the corresponding available inventory in the inventory system for the released pre-packaged unit at the designated time node.
4. The method of inventory management of pre-packaged goods according to claim 1, wherein: the predicting the predicted sales volume of the pre-packaged commodity according to the first sales volume predicting curve and the second sales volume predicting curve comprises the following steps:
judging whether the pre-packaged single product meeting a second condition exists in the pre-packaged commodity or not;
if yes, predicting the predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and a random factor pair;
if not, predicting the current predicted sales of the pre-packaged commodity according to the first sales prediction curve, the second sales prediction curve and the fixed factor pair.
5. The inventory management system of the pre-packaged commodity comprises a prediction module, a processing module and a storage module, wherein the processing module is connected with the prediction module and the storage module; wherein,
the memory module is used for storing executable computer program codes;
the prediction module is used for determining the quantity of the pre-packaged commodities and sending the quantity of the pre-packaged commodities to the processing module;
the processing module is configured to implement the method according to any one of claims 1-4 by invoking the executable computer program code in the storage module to manage inventory of pre-packaged goods.
6. An electronic device, the electronic device comprising: at least one processor, a memory and a computer program stored in the memory and executable on the at least one processor, the processor implementing the method according to any one of claims 1-4 when the computer program is executed.
7. A computer storage medium storing a computer program which, when executed by a processor, implements a method as claimed in any one of claims 1 to 4.
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