CN115829287B - Goods distribution method and device - Google Patents
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- CN115829287B CN115829287B CN202211644707.7A CN202211644707A CN115829287B CN 115829287 B CN115829287 B CN 115829287B CN 202211644707 A CN202211644707 A CN 202211644707A CN 115829287 B CN115829287 B CN 115829287B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
The application provides a method and a device for distributing goods, wherein the method for distributing the goods comprises the following steps: acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on preset adjustment conditions, and optimizing the distribution result to obtain a target distribution result. The application can improve the distribution accuracy of goods.
Description
Technical Field
The application relates to the technical field of goods distribution, in particular to a method and a device for distributing goods.
Background
With the development of the times, the commercial products appearing in society are full of eyes, and it is important how to put proper and accurate commercial products into which market for selling. However, with the impact of the network operators, the regional restrictions become smaller. But a new problem arises, namely inventory. How to operate the lowest stock of the purchased goods and ensure the requirement of selling is a pain point of many merchants. In the large-head company of multi-store multi-commodity, the new commodity is put on shelf and distributed mostly through manual statistics and distribution, and the mode has no problem when the number of stores and the commodity variety are small. However, when shops and commodity types become many, the drawbacks of manual low productivity and low timeliness are infinitely amplified, and the distribution accuracy of the commodity is low.
In the prior art, the distribution accuracy of goods is low.
Disclosure of Invention
The application aims to provide a method and a device for distributing goods, which aim to solve the problem of lower distribution accuracy of goods in the prior art.
In one aspect, the present application provides a method for dispensing an article, the method comprising:
acquiring preset data selection conditions;
screening goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions;
distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result;
and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result.
Optionally, the preset data selection condition includes year, month, week, brand, running date, version number, user ID, and goods series.
Optionally, the distributing the goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result, including:
distributing corresponding quantity of goods for each store based on the number of goods required by each store;
Distributing goods of corresponding types to each store based on the goods type requirements of each store;
distributing goods with corresponding sizes to each store based on the goods size requirements of each store;
and selecting the goods distributed to the same store with the same scribing number or the same module number for distribution, so as to obtain a preliminary distribution result.
Optionally, the performing dynamic programming adjustment on the preliminary allocation result based on a preset adjustment condition to obtain a target allocation result includes:
obtaining the style types of all goods, wherein the style types comprise a display style type, a special style type and a normally-sold style type; selecting stores with assigned goods numbers according to the corresponding goods number, searching all the assignable goods numbers through the module numbers queried by changing the goods numbers, and then determining the value of the module numbers and the depth weight of the stores to dynamically plan and calculate the goods numbers;
determining corresponding preset adjustment conditions based on each style type;
dynamically planning the same-enterprise money drawing number adjustment on the preliminary allocation result of the style type based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods number of the same-enterprise money drawing number which is not allocated is found according to the same-enterprise money drawing number attribute of the goods number, and then a corresponding allocation shop is found from the allocation result; then the value of the same-enterprise money number and the depth weight of the store are determined, and the dynamic planning calculation is carried out on the goods number
Optionally, the dynamically planning the adjustment of the same-enterprise money number on the preliminary allocation result of the style type based on the preset adjustment condition corresponding to the style type to obtain the target allocation result includes:
acquiring the types of the goods corresponding to each goods, wherein the types of the goods comprise a south type and a north type;
distributing the goods to shops of which the goods types correspond to the shops types to obtain a first distribution result, wherein the south shops correspond to the south shops and the north shops correspond to the north shops;
determining a target allocation result according to the first allocation result; wherein, the target distribution result meets the condition requirements of module maximization and same-enterprise maximization
Optionally, the determining the target allocation result according to the first allocation result includes:
acquiring a preset blacklist rule, wherein the preset blacklist rule comprises goods which cannot be distributed by each store;
adjusting the first distribution result based on the preset blacklist rule to obtain a second distribution result;
and determining a target distribution result according to the second distribution result.
Optionally, the determining the target allocation result according to the second allocation result includes:
acquiring a historical allocated store and a corresponding historical allocated item type of each item which has been allocated in a historical time period;
Removing the goods of the historical allocated goods types corresponding to each historical allocated store from the second allocation result to obtain a third allocation result;
and determining the third allocation result as a target allocation result.
In one aspect, the present application provides a dispensing apparatus of an article, the dispensing apparatus of an article comprising:
the acquisition unit is used for acquiring preset data selection conditions;
the screening unit is used for screening goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions;
the distribution unit is used for distributing the goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result;
and the adjusting unit is used for carrying out the maximum adjustment of the dynamic programming module on the preliminary distribution result based on preset adjusting conditions to obtain a target distribution result.
Optionally, the preset data selection condition includes year, month, week, brand, running date, version number, user ID, and goods series.
Optionally, the distributing the goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result, including:
Distributing corresponding quantity of goods for each store based on the number of goods required by each store;
distributing goods of corresponding types to each store based on the goods type requirements of each store;
distributing goods with corresponding sizes to each store based on the goods size requirements of each store;
and selecting the goods distributed to the same store with the same scribing number or the same module number for distribution, so as to obtain a preliminary distribution result.
Optionally, the performing dynamic programming adjustment on the preliminary allocation result based on a preset adjustment condition to obtain a target allocation result includes:
obtaining the style types of all goods, wherein the style types comprise a display style type, a special style type and a normally-sold style type; selecting stores with assigned goods numbers according to the corresponding goods number, searching all the assignable goods numbers through the module numbers queried by changing the goods numbers, and then determining the value of the module numbers and the depth weight of the stores to dynamically plan and calculate the goods numbers;
determining corresponding preset adjustment conditions based on each style type;
dynamically planning the same-enterprise money drawing number adjustment on the preliminary allocation result of the style type based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods number of the same-enterprise money drawing number which is not allocated is found according to the same-enterprise money drawing number attribute of the goods number, and then a corresponding allocation shop is found from the allocation result; then the value of the same-enterprise money number and the depth weight of the store are determined, and the dynamic planning calculation is carried out on the goods number
Optionally, the dynamically planning the adjustment of the same-enterprise money number on the preliminary allocation result of the style type based on the preset adjustment condition corresponding to the style type to obtain the target allocation result includes:
acquiring the types of the goods corresponding to each goods, wherein the types of the goods comprise a south type and a north type;
distributing the goods to shops of which the goods types correspond to the shops types to obtain a first distribution result, wherein the south shops correspond to the south shops and the north shops correspond to the north shops;
determining a target allocation result according to the first allocation result; wherein, the target distribution result meets the condition requirements of module maximization and same-enterprise maximization
Optionally, the determining the target allocation result according to the first allocation result includes:
acquiring a preset blacklist rule, wherein the preset blacklist rule comprises goods which cannot be distributed by each store;
adjusting the first distribution result based on the preset blacklist rule to obtain a second distribution result;
and determining a target distribution result according to the second distribution result.
Optionally, the determining the target allocation result according to the second allocation result includes:
acquiring a historical allocated store and a corresponding historical allocated item type of each item which has been allocated in a historical time period;
Removing the goods of the historical allocated goods types corresponding to each historical allocated store from the second allocation result to obtain a third allocation result;
and determining the third allocation result as a target allocation result.
In one aspect, the present application also provides an electronic device, including:
one or more processors;
a memory; and
one or more applications, wherein the one or more applications are stored in the memory and are configured to be executed by the processor to implement the method of dispensing items of any of the first aspect.
In one aspect, the present application also provides a computer readable storage medium having stored thereon a computer program to be loaded by a processor to perform the steps of the method of dispensing items of any one of the first aspects.
The application provides a method for distributing goods, which comprises the following steps: acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result. According to the application, different commodities are distributed to different shops through statistics and analysis of data, so that the sales requirements of the shops are met, the stock cost of the shops is reduced, the optimal number distribution of the shops is met, the number distribution work of multiple shops and multiple commodities is manually calculated by replacing a computer, and the distribution accuracy is increased.
Furthermore, when the number of distributed pieces meets the inventory, the distributed sales requirement is met, and the distributed result can be output only by inputting data manually and clicking, so that the efficiency is high, the reaction is quick, and the result is accurate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic view of a scenario of an item dispensing system provided by an embodiment of the present application;
FIG. 2 is a flow chart of one embodiment of a method for dispensing items provided by an embodiment of the present application;
FIG. 3 is a schematic view showing the structure of an embodiment of a dispensing apparatus for an article provided in an embodiment of the present application;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "kind", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present application and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present application, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "exemplary" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
It should be noted that, because the method of the embodiment of the present application is executed in the electronic device, the processing objects of each electronic device exist in the form of data or information, for example, time, which is substantially time information, it can be understood that in the subsequent embodiment, if the size, the number, the position, etc. are all corresponding data, so that the electronic device can process the data, which is not described herein in detail.
The embodiment of the application provides a method and a device for distributing goods, which are respectively described in detail below.
Referring to fig. 1, fig. 1 is a schematic view of a scenario of a dispensing system for goods according to an embodiment of the present application, where the dispensing system for goods may include an electronic device 100, and a dispensing apparatus for goods is integrated in the electronic device 100, such as the electronic device in fig. 1.
In the embodiment of the present application, the electronic device 100 may be an independent server, or may be a server network or a server cluster formed by servers, for example, the electronic device 100 described in the embodiment of the present application includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud server formed by a plurality of servers. Wherein the Cloud server is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing).
It will be appreciated by those skilled in the art that the application environment shown in fig. 1 is merely one application scenario of the present application, and is not limited to the application scenario of the present application, and other application environments may also include more or fewer electronic devices than those shown in fig. 1, for example, only 1 electronic device is shown in fig. 1, and it will be appreciated that the distribution system of the goods may also include one or more other servers, which is not limited herein.
In addition, as shown in FIG. 1, the dispensing system of the item may further include a memory 200 for storing data.
It should be noted that, the schematic view of the scenario of the distribution system of the goods shown in fig. 1 is only an example, and the distribution system of the goods and the scenario described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and as a person of ordinary skill in the art can know that the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems with evolution of the distribution system of the goods and occurrence of new service scenarios.
First, in an embodiment of the present application, there is provided a method for distributing an article, an execution body of the method for distributing an article being a device for distributing an article, the device for distributing an article being applied to an electronic device, the method for distributing an article including: acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result.
Referring to fig. 2, fig. 2 is a flowchart illustrating an embodiment of a method for distributing an article according to an embodiment of the present application. The method for distributing the goods comprises the following steps of S201-204:
s201, acquiring preset data selection conditions.
The preset data selection conditions comprise year, month, week, brand, running date, version number, user ID and goods series.
S202, screening out goods inventory data meeting the preset data selection conditions and the requirement information of each store from a preset database based on the preset data selection conditions.
The user can automatically read and select the corresponding data only by designating the corresponding preset data selection condition.
S203, distributing the goods to each store according to the demand information and the goods inventory data of each store to obtain a preliminary distribution result.
The demand information of each store includes the number of goods demand, the kind of goods demand, and the size of goods demand. Distributing goods to each store according to the demand information and the goods inventory data of each store to obtain a preliminary distribution result, which may include:
(1) And distributing the corresponding quantity of goods to each store based on the number of goods required by each store.
And distributing the goods with corresponding quantity to each store, namely distributing the goods quantity to each store. Assigning a corresponding number of items to each store may include: display amount distribution, special amount distribution, normally sold amount distribution, cross style amount distribution, and cross category amount distribution. The amount of the allocation multiplied by the amount of the drop is the amount of the allocation, so the allocation of the number of pieces also affects the allocation of the amount deeply. The distribution of the quantity is carried out according to the acquired upper limit and lower limit of the quantity, the optimal quantity is selected in the range of the upper limit and the lower limit, the quantity is determined in the following modes, and if the quantity meets the license plate amount preferentially, the quantity is calculated reversely through the license plate amount; if the number is preferentially satisfied, the number of the hanging license plates is reversely calculated by the number
(2) And distributing the goods of the corresponding category to each store based on the goods category requirement of each store.
The corresponding kinds of goods are distributed to each store, namely, how many kinds of goods are distributed to each store. The distribution of categories directly affects the richness of the store display of the goods. The types of the specific type and the display type may be assigned according to the specific requirements. For the common sale, if the license plate amount is preferentially met, the optimal variety size is required to be calculated on the premise of guaranteeing the quantity; if the number is preferentially satisfied, the optimal category size is calculated on the premise of guaranteeing the number. And calculating the optimal type size under the condition that the types of the money styles are unified and preferentially meet the license plate amount.
(3) And distributing goods with corresponding sizes to each store based on the goods size requirements of each store.
Goods of corresponding sizes are distributed to each store. The different sizes of the goods are different, so the number of the different sizes of the same goods allocated to the same store should be different, the number of the expected burst is more from the manual thinking, the number of the lost-circulation sizes is less, and the size allocation is realized. The method comprises the following steps of firstly, carrying out first round distribution according to the inventory of goods, and distributing the number of pieces meeting the key size; then, carrying out second round of distribution, wherein the second round of distribution meets the requirements of continuous size and size variety; and then, carrying out third round of distribution, wherein the third round of distribution meets the quantity requirements among different stores, and stores with small stock quantity and high quantity requirements are distributed preferentially for the sizes of all stores.
(4) And selecting the goods distributed to the same store with the same scribing number or the same module number for distribution, so as to obtain a preliminary distribution result.
For a group of goods distributed to the same shop, the goods with the same planning number or the same module number are preferentially selected for distribution, so that the connectivity and the repurchase rate of the goods are ensured.
S204, carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on preset adjustment conditions to obtain a target distribution result.
In the embodiment of the present application, performing the maximum adjustment of the dynamic programming module on the preliminary allocation result based on the preset adjustment condition to obtain the target allocation result may include:
(1) And acquiring the style types of the goods, wherein the style types comprise a display style type, a special style type and a normally sold style type.
(2) And determining corresponding preset adjustment conditions based on each style type.
(3) Dynamically planning the same-enterprise money drawing number adjustment on the preliminary allocation result of the style type based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods number of the same-enterprise money drawing number which is not allocated is found according to the same-enterprise money drawing number attribute of the goods number, and then a corresponding allocation shop is found from the allocation result; then the value of the same-enterprise money number and the depth weight of the store are determined, and the dynamic planning calculation is carried out on the goods number
Further, performing dynamic planning on the preliminary allocation result of the style type based on the preset adjustment condition corresponding to the style type to adjust the money number of the same enterprise to obtain a target allocation result may include:
(1) And acquiring the types of the goods corresponding to the goods, wherein the types of the goods comprise a south type and a north type.
(2) And distributing the goods to stores with the goods types corresponding to the store types to obtain a first distribution result, wherein the south type corresponds to the south store and the north type corresponds to the north type.
For the north-south money adjustment, the requirement that the south money goods are preferentially distributed to the south stores and the north money goods are preferentially distributed to the south stores is met.
(3) Determining a target allocation result according to the first allocation result; wherein, the target distribution result meets the condition requirements of module maximization and same-enterprise maximization
Further, determining the target allocation result according to the first allocation result may include:
(1) And acquiring a preset blacklist rule, wherein the preset blacklist rule comprises goods which cannot be distributed by each store.
In the embodiment of the application, the preset blacklist rule needs to meet the requirement that certain goods cannot be assigned to certain stores; the preset blacklist rules are manually specified and manually distributed through objective market environments and goods shop conditions.
(2) And adjusting the first distribution result based on a preset blacklist rule to obtain a second distribution result.
(3) And determining a target distribution result according to the second distribution result.
Further, determining the target allocation result according to the second allocation result may include:
(1) A historical assigned store and corresponding historical assigned item types for which individual items have been assigned within a historical time period are obtained.
The historic allocated stores are stores to which the goods currently allocated are allocated in the historic time period, and the stores are not allocated any more, so that the types of goods allocated by the historic allocated stores need to be removed.
(2) And removing the goods of the historical allocated goods types corresponding to each historical allocated store from the second allocation result to obtain a third allocation result.
The adjustment of the historical allocation is that the goods to be new cannot be allocated to the stores allocated before; the corresponding goods are removed in the link of selecting the goods.
(3) And determining the third allocation result as a target allocation result.
Further, determining a target allocation result according to the third allocation result includes: and performing special style adjustment, cross-class adjustment and allowance distribution adjustment on the third distribution result to obtain a target distribution result.
The special money is adjusted and allocated according to the numerical value appointed by the store, and the numerical value comprises the quantity, the type, the tag amount and the like; and meet additional requirements for special money, such as a store for a given item. The cross-style adjustment is to uniformly distribute the goods of different styles but the same class, so that the distribution of the goods of the same class is ensured, and meanwhile, the error caused by the distribution of different goods is reduced to the minimum. During distribution, quantity distribution, category distribution and amount distribution are still satisfied. After the allowance distribution adjustment requires that all the supplied goods are distributed, if the goods stock is less than 200, all the goods are continuously distributed. Adjustment across categories to be uniformly distributed of items of different categories but of the same category, this distribution step follows the first round of normal distribution.
In a specific embodiment, the first batch of the display money is allocated, a preset adjustment condition corresponding to the display money is obtained, and the preliminary allocation result of the display money is adjusted according to the preset adjustment condition corresponding to the display money, so as to obtain the target allocation result of the display money. And adjusting the preliminary distribution result of the display money according to the preset adjustment condition corresponding to the display money, wherein the preliminary distribution result comprises blacklist processing, north-south money processing and historical data processing for all the display money goods. And then overall planning is carried out according to the inventory of the goods and shops, the quantity and the inventory size requirements of the goods are calculated, and the types and the final quantity are distributed. And distributing the special money in the second batch, acquiring a preset adjustment condition corresponding to the special money, and adjusting the preliminary distribution result of the special money according to the preset adjustment condition corresponding to the special money to acquire a target distribution result of the special money. The method for dynamically planning and adjusting the preliminary distribution result of the special money according to the preset adjustment condition corresponding to the special money comprises the following steps: and processing blacklist, north-south money and historical data of special money goods, carrying out overall planning according to the inventory of the goods and shops, calculating the distribution size and quantity of the goods, carrying out key size distribution, carrying out category distribution and finally carrying out quantity distribution. The third batch is allocated with the normal sale, the batch is the main body of the technical process, and most goods belong to the normal sale. And when the batch is distributed, acquiring a preset adjustment condition corresponding to the normal sale, and adjusting the preliminary distribution result of the normal sale according to the preset adjustment condition corresponding to the normal sale to obtain a target distribution result of the normal sale. The preliminary distribution result of the normal sale money is adjusted according to the preset adjustment condition corresponding to the normal sale money, and the method comprises the following steps: and processing blacklists, north-south money and historical data of the normally-sold money goods, and adjusting the preliminary distribution result of the normally-sold money according to preset adjustment conditions corresponding to the normally-sold money goods to obtain the target distribution result of the display money. Then, the key size number of the first pass is allocated, the category of the second pass is allocated, the number of the third pass is allocated, and finally the size is adjusted again. The fourth batch is style and cross-class distribution, and is used for distributing the styles of the male series goods and distributing the classes of the female series goods. The fifth lot is the allowance 200 distribution, the above distributed normal and special money goods are counted, if the stock of goods is less than 200 pieces, the rest amount is required to be distributed to the goods distributed in the above lot. After the five batches are completed, the allocation is completed.
The application provides a method for distributing goods, which comprises the following steps: acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result. The application can improve the distribution accuracy of goods.
In order to better implement the method for distributing the goods according to the embodiment of the present application, on the basis of the method for distributing the goods, the embodiment of the present application further provides a device for distributing the goods, as shown in fig. 3, fig. 3 is a schematic structural diagram of an embodiment of the device for distributing the goods provided in the embodiment of the present application, where the device 300 for distributing the goods includes:
an acquiring unit 301, configured to acquire a preset data selection condition;
a screening unit 302, configured to screen, based on a preset data selection condition, inventory data of goods meeting the preset data selection condition and demand information of each store from a preset database;
A distribution unit 303, configured to distribute the goods to each store according to the demand information of each store and the goods inventory data, so as to obtain a preliminary distribution result;
and the adjusting unit 304 is configured to perform maximum adjustment of the dynamic programming module on the preliminary allocation result based on a preset adjusting condition, so as to obtain a target allocation result.
Optionally, the preset data selection condition includes year, month, week, brand, running date, version number, user ID, and goods series.
Optionally, the distributing the goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result, including:
distributing corresponding quantity of goods for each store based on the number of goods required by each store;
distributing goods of corresponding types to each store based on the goods type requirements of each store;
distributing goods with corresponding sizes to each store based on the goods size requirements of each store;
and selecting the goods distributed to the same store with the same scribing number or the same module number for distribution, so as to obtain a preliminary distribution result.
Optionally, the performing dynamic programming adjustment on the preliminary allocation result based on a preset adjustment condition to obtain a target allocation result includes:
Obtaining the style types of all goods, wherein the style types comprise a display style type, a special style type and a normally-sold style type; selecting stores with assigned goods numbers according to the corresponding goods number, searching all the assignable goods numbers through the module numbers queried by changing the goods numbers, and then determining the value of the module numbers and the depth weight of the stores to dynamically plan and calculate the goods numbers;
determining corresponding preset adjustment conditions based on each style type;
dynamically planning the same-enterprise money drawing number adjustment on the preliminary allocation result of the style type based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods number of the same-enterprise money drawing number which is not allocated is found according to the same-enterprise money drawing number attribute of the goods number, and then a corresponding allocation shop is found from the allocation result; then the value of the same-enterprise money number and the depth weight of the store are determined, and the dynamic planning calculation is carried out on the goods number
Optionally, the dynamically planning the adjustment of the same-enterprise money number on the preliminary allocation result of the style type based on the preset adjustment condition corresponding to the style type to obtain the target allocation result includes:
acquiring the types of the goods corresponding to each goods, wherein the types of the goods comprise a south type and a north type;
Distributing the goods to shops of which the goods types correspond to the shops types to obtain a first distribution result, wherein the south shops correspond to the south shops and the north shops correspond to the north shops;
determining a target allocation result according to the first allocation result; wherein, the target distribution result meets the condition requirements of module maximization and same-enterprise maximization
Optionally, the determining the target allocation result according to the first allocation result includes:
acquiring a preset blacklist rule, wherein the preset blacklist rule comprises goods which cannot be distributed by each store;
adjusting the first distribution result based on the preset blacklist rule to obtain a second distribution result;
and determining a target distribution result according to the second distribution result.
Optionally, the determining the target allocation result according to the second allocation result includes:
acquiring a historical allocated store and a corresponding historical allocated item type of each item which has been allocated in a historical time period;
removing the goods of the historical allocated goods types corresponding to each historical allocated store from the second allocation result to obtain a third allocation result;
and determining the third allocation result as a target allocation result.
The embodiment of the application also provides electronic equipment which integrates any goods distribution device provided by the embodiment of the application. As shown in fig. 4, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, specifically:
the electronic device may include one or more processing cores 'processors 501, one or more computer-readable storage media's memory 502, a power supply 503, and an input unit 504, among other components. It will be appreciated by those skilled in the art that the electronic device structure shown in the figures is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
Wherein:
the processor 501 is a control center of the electronic device, and connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 502, and calling data stored in the memory 502, thereby performing overall monitoring of the electronic device. Optionally, processor 501 may include one or more processing cores; preferably, the processor 501 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 501.
The memory 502 may be used to store software programs and modules, and the processor 501 executes various functional applications and data processing by executing the software programs and modules stored in the memory 502. The memory 502 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the electronic device, etc. In addition, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 502 may also include a memory controller to provide access to the memory 502 by the processor 501.
The electronic device further comprises a power supply 503 for powering the various components, preferably the power supply 503 is logically connected to the processor 501 via a power management system, whereby the functions of managing charging, discharging, and power consumption are performed by the power management system. The power supply 503 may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The electronic device may further comprise an input unit 504, which input unit 504 may be used for receiving input digital or character information and for generating keyboard, mouse, joystick, optical or trackball signal inputs in connection with user settings and function control.
Although not shown, the electronic device may further include a display unit or the like, which is not described herein. In particular, in this embodiment, the processor 501 in the electronic device loads executable files corresponding to the processes of one or more application programs into the memory 502 according to the following instructions, and the processor 501 executes the application programs stored in the memory 502, so as to implement various functions as follows:
acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result. The application can improve the accuracy of the goods distribution method.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor.
To this end, an embodiment of the present application provides a computer-readable storage medium, which may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. On which a computer program is stored that is loaded by a processor to perform the steps of any of the method for dispensing items provided by the embodiments of the present application. For example, the loading of the computer program by the processor may perform the steps of:
acquiring preset data selection conditions; screening out goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions; distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result; and carrying out dynamic programming module maximization adjustment on the preliminary distribution result based on a preset adjustment condition to obtain a target distribution result. The application can improve the accuracy of the goods distribution method.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.
In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing method embodiments and will not be repeated herein.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
The foregoing has described in detail the method and apparatus for dispensing articles provided by the embodiments of the present application, and specific examples have been applied herein to illustrate the principles and embodiments of the present application, the above description of the embodiments being only for aiding in the understanding of the method and core ideas of the present application; meanwhile, as those skilled in the art will vary in the specific embodiments and application scope according to the ideas of the present application, the present description should not be construed as limiting the present application in summary.
Claims (8)
1. A method of dispensing an article, the method comprising:
Acquiring preset data selection conditions;
screening goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions;
distributing goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result;
performing dynamic programming module maximum adjustment on the preliminary distribution result based on preset adjustment conditions to obtain a target distribution result,
the method comprises the steps of obtaining style types of all goods, wherein the style types comprise a display style type, a special style type and a normally-sold style type; selecting stores with assigned goods numbers, inquiring module numbers through the goods numbers, searching all the assignable goods numbers through the module numbers, determining the value of the module numbers and the depth weight of the stores, and carrying out dynamic planning calculation on the assigned goods numbers;
determining corresponding preset adjustment conditions based on each style type;
dynamically planning the preliminary allocation result of the style type and adjusting the same planning type number based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods numbers of the same planning type number which are not allocated are found according to the same planning type number attribute of the goods numbers, and then corresponding allocation shops are found from the allocation result; then, determining the value and the depth weight of the shop of the same planning type number, and carrying out dynamic planning calculation on the goods number;
The method comprises the steps of obtaining the types of goods corresponding to all goods, wherein the types of goods comprise a south type and a north type; distributing the goods to shops of which the goods types correspond to the shops types to obtain a first distribution result, wherein the south shops correspond to the south shops and the north shops correspond to the north shops; determining a target allocation result according to the first allocation result; the target distribution result meets the condition requirements of module maximization and same score maximization.
2. The method of claim 1, wherein the preset data selection conditions include year, month, week, brand, running date, version number, user ID, and product series.
3. The method for distributing goods according to claim 1, wherein said distributing goods to each store according to the demand information of each store and the goods stock data to obtain a preliminary distribution result comprises:
distributing corresponding quantity of goods for each store based on the number of goods required by each store;
distributing goods of corresponding types to each store based on the goods type requirements of each store;
distributing goods with corresponding sizes to each store based on the goods size requirements of each store;
And selecting the goods distributed to the same store with the same scribing number or the same module number for distribution, so as to obtain a preliminary distribution result.
4. The method of dispensing an article according to claim 1, wherein the determining a target dispensing result from the first dispensing result comprises:
acquiring a preset blacklist rule, wherein the preset blacklist rule comprises goods which cannot be distributed by each store;
adjusting the first distribution result based on the preset blacklist rule to obtain a second distribution result;
and determining a target distribution result according to the second distribution result.
5. The method of dispensing an article according to claim 4, wherein the determining a target dispensing result from the second dispensing result comprises:
acquiring a historical allocated store and a corresponding historical allocated item type of each item which has been allocated in a historical time period;
removing the goods of the historical allocated goods types corresponding to each historical allocated store from the second allocation result to obtain a third allocation result;
and determining the third allocation result as a target allocation result.
6. A dispensing device for an article, the dispensing device comprising:
The acquisition unit is used for acquiring preset data selection conditions;
the screening unit is used for screening goods inventory data meeting the preset data selection conditions and the demand information of each store from a preset database based on the preset data selection conditions;
the distribution unit is used for distributing the goods to each store according to the demand information of each store and the goods inventory data to obtain a preliminary distribution result;
the adjustment unit is used for carrying out maximum adjustment on the preliminary distribution result by the dynamic programming module based on preset adjustment conditions to obtain a target distribution result, wherein style types of all goods are obtained, and the style types comprise a display style type, a special style type and a normally-sold style type; selecting stores with assigned goods numbers, inquiring module numbers through the goods numbers, searching all the assignable goods numbers through the module numbers, determining the value of the module numbers and the depth weight of the stores, and carrying out dynamic planning calculation on the assigned goods numbers;
determining corresponding preset adjustment conditions based on each style type;
dynamically planning the preliminary allocation result of the style type and adjusting the same planning type number based on a preset adjustment condition corresponding to the style type to obtain a target allocation result, wherein the goods numbers of the same planning type number which are not allocated are found according to the same planning type number attribute of the goods numbers, and then corresponding allocation shops are found from the allocation result; then, determining the value and the depth weight of the shop of the same planning type number, and carrying out dynamic planning calculation on the goods number;
The method comprises the steps of obtaining the types of goods corresponding to all goods, wherein the types of goods comprise a south type and a north type; distributing the goods to shops of which the goods types correspond to the shops types to obtain a first distribution result, wherein the south shops correspond to the south shops and the north shops correspond to the north shops; determining a target allocation result according to the first allocation result; the target distribution result meets the condition requirements of module maximization and same score maximization.
7. An electronic device, the electronic device comprising:
one or more processors;
a memory; and
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the method of dispensing items of any one of claims 1 to 5.
8. A computer-readable storage medium, having stored thereon a computer program, the computer program being loaded by a processor to perform the steps of the method of dispensing items of any one of claims 1 to 5.
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