CN113988467A

CN113988467A - Method and device for recommending product packaging size

Info

Publication number: CN113988467A
Application number: CN202111365131.6A
Authority: CN
Inventors: 尹承志
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2021-11-17
Filing date: 2021-11-17
Publication date: 2022-01-28

Abstract

The invention discloses a method and a device for recommending product packaging size, and relates to the technical field of computers. One embodiment of the method comprises: acquiring basic data of various products; determining a distribution of products in a length dimension based on the base data for the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension; aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio. The implementation mode can improve the utilization rate of product packaging and reduce the waste of packaging space and materials.

Description

Method and device for recommending product packaging size

Technical Field

The invention relates to the technical field of computers, in particular to a method and a device for recommending product packaging size.

Background

In the existing e-commerce industry, the existing common model size is generally selected according to the existing business experience or system in the selection of the size of a product package. Compared with large-scale electric business enterprises, the electric business enterprises mostly have own packaging size systems. For emerging e-commerce enterprises, the size of logistics express packages is selected by mostly referring to the packaging standards of other e-commerce enterprises, or the packaging size is properly optimized according to typical products.

In the process of implementing the invention, the inventor finds that at least the following problems exist in the prior art: the prior art can only recommend the existing package models for operators to adopt, but can not recommend the package sizes in a targeted manner according to products with different sizes and different sales volumes, so that the utilization rate of package materials and space is very low, the waste of materials and the waste of package volume is caused, and the efficiency of storage and transportation is low.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method and an apparatus for recommending a product package size, which can improve the utilization rate of product packages and reduce waste of package space and materials, compared with the prior art.

To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of recommending a product package size.

The method for recommending the product package size comprises the following steps: acquiring basic data of various products; determining a distribution of products in a length dimension based on the base data for the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension; aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

Optionally, the determining the distribution of the products in the length dimension based on the basic data of the plurality of products includes: determining the distribution of the product quantity ratios on different product length size intervals based on the basic data of the plurality of products; or determining the distribution of the product ex-warehouse capacity ratio on different product length size intervals based on the basic data of the plurality of products.

Optionally, the determining the length value of the package to be recommended according to the distribution of the products in the length dimension includes: determining a peak point of the product quantity in the length size distribution, and determining a length value of a package to be recommended according to a product length size interval corresponding to the peak point; or determining a peak point of the ratio of the product ex-warehouse quantity in the length size distribution, and determining the length value of the package to be recommended according to the product length size interval corresponding to the peak point.

Optionally, determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the product under the length value in the aspect ratio and the height ratio includes: determining an aspect ratio value of the package to be recommended according to the distribution of the product quantity ratio or the warehouse-out quantity ratio on the aspect ratio under the length value, and determining a width value of the package to be recommended according to the aspect ratio value of the package to be recommended and the length value of the package to be recommended; and determining the length-height ratio value of the package to be recommended according to the distribution of the product quantity ratio or the warehouse-out quantity ratio on the length-height ratio under the length value, and determining the height value of the package to be recommended according to the length-height ratio value of the package to be recommended and the length value of the package to be recommended.

Optionally, before the determining the distribution of the products in the length dimension based on the basic data of the plurality of products, the method further includes: the three side lengths of the product are sequenced from large to small or from small to large, the longest side of the product is used as the length, the second longest side of the product is used as the width, and the shortest side of the product is used as the height.

Optionally, after determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the length-to-width ratio and the length-to-height ratio of the product under the length value, the method further includes: for bagged products, the sum of the length value and the height value of the package to be recommended is taken as the bag length, and the sum of the width value and the height value of the package to be recommended is taken as the bag width.

Optionally, the method further includes: determining a size representation of the product based on the base data for the plurality of products.

To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided an apparatus for recommending a product package size.

The device for recommending the product package size comprises the following components: the acquisition module is used for acquiring basic data of various products; a first determining module for determining a distribution of products in a length dimension based on the base data of the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension; the second determination module is used for determining the distribution of the products under the length value on the aspect ratio and the length-height ratio aiming at the length value of each package to be recommended; and the second determination module is also used for determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

To achieve the above object, according to still another aspect of embodiments of the present invention, there is provided an electronic device recommending a product package size, including: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out a method as claimed in any preceding claim.

To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the method as described in any of the above.

One embodiment of the above invention has the following advantages or benefits: acquiring basic data of a plurality of products; determining a distribution of products in a length dimension based on the base data for the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension; aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; the steps of determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the product under the length value on the aspect ratio and the length-to-height ratio overcome the problems that the utilization rate of packaging materials and space is low, material waste is caused, waste on the packaging volume still exists, and the storage and transportation efficiency is low in the prior art, so that the effects of improving the utilization rate of product packaging and reducing the waste of packaging space and materials are achieved.

Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.

Drawings

FIG. 1 is a schematic flow chart of a method of recommending product package dimensions in accordance with an embodiment of the present invention;

FIG. 2 is a schematic flow chart diagram of an alternative method of recommending product package dimensions in accordance with an embodiment of the present invention;

FIG. 3 is a schematic diagram of the main modules of an apparatus for recommending the packaging size of a product according to an embodiment of the present invention;

FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;

FIG. 5 is a schematic block diagram of a computer system suitable for use with a mobile device or server implementing an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the technical features in the embodiments and the embodiments of the present invention may be combined with each other without affecting the implementation of the present invention.

Referring to fig. 1, a main flow of a method for recommending a product package size according to an embodiment of the present invention is shown, which includes the following steps:

s101: basic data of various products are obtained.

S102: determining a distribution of products in a length dimension based on the base data for the plurality of products; and determining the length value of the package to be recommended according to the distribution of the products on the length dimension.

S103: aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

Illustratively, in step S101, basic data of a plurality of products over a period of time may be extracted from the e-commerce system through the database interface. For example, the basic data of all products in a warehouse in the last year is extracted.

Wherein, the basic data of the product comprises information such as product size and the like. The product size refers to the maximum external dimension of the product, such as the length of three sides of the product, and the information is key information for size analysis. In addition, the basic data of the product can also comprise the original packaging size of the product, the product sales volume, the use condition of the package in the previous period and the like. The original packaging size of the product can be called as the original material flow consumable size of the product. For case-like packaging, the original package dimensions include, but are not limited to, the length, width, and height of the original package of the product; for pouch-like packaging, the original package dimensions include, but are not limited to, the pouch length and the pouch width of the original package of the product. The product sales amount refers to the amount of products delivered from the warehouse over a period of time, such as the amount of products delivered from the warehouse over the last year. The usage of the inner package in the previous cycle may include the type, model, usage, etc. of the product package actually used in the previous cycle.

In step S102, the basic data of the product obtained in step S101 is subjected to analysis processing to obtain the distribution of the product in the length dimension.

In an alternative embodiment, the distribution of product quantity ratios over the product length dimension is determined based on the base data for the plurality of products. Specifically, the product quantity corresponding to each length size interval may be counted and divided by the total quantity of all the products to obtain the product quantity ratio corresponding to the length size interval, so as to obtain the distribution of the product quantity ratio on the product length size. For example, when the product is expressed by SKU (stock keeping unit), and the product length size range is 50mm to 300mm, and the product length size interval is set to 10mm, the SKU number ratio in the length size interval of 50mm to 60mm, the SKU number ratio in the length size interval of 60mm to 70mm, … …, and the SKU number ratio in the length size interval of 290mm to 300mm can be counted, and the distribution of the SKU number ratio in the product length size can be obtained.

In another alternative embodiment, the distribution of product inventory ratios over different product length size intervals is determined based on the base data for the plurality of products. Specifically, the product ex-warehouse quantity corresponding to each length size interval can be counted in each length size interval, and then divided by the ex-warehouse quantities of all the products, so that the product ex-warehouse quantity ratio corresponding to the length interval is obtained, and the distribution of the product ex-warehouse quantity ratios in different product length size intervals is obtained. For example, assuming that the product length size range is 50mm to 300mm and the size of the product length size section is 10mm, the ratio of the product delivery volume within the length size section of 50mm to 60mm, the ratio of the product delivery volume within the length size section of 60mm to 70mm, … …, and the ratio of the product delivery volume within the length size section of 290mm to 300mm can be counted, and the distribution of the product delivery volume ratio in each product length size section can be obtained.

It should be noted that the distribution of the products in the length dimension of the present invention includes, but is not limited to, the distribution of the number of products in each length dimension section and the distribution of the amount of products delivered from the warehouse in each length dimension section. Other specific representations which characterize the distribution of the product in the length dimension may also be used by those skilled in the art without affecting the practice of the present invention.

Further, after the distribution of the products on the length dimension is obtained, the length value of the package to be recommended is determined according to the distribution of the products on the length dimension. In an alternative embodiment, when the distribution of the products in the length dimension is specifically the distribution of the number of the products in the length dimension, the determining the length value of the package to be recommended according to the distribution of the products in the length dimension includes: and determining a peak point of the product quantity ratio in the length size distribution, and determining the length value of the package to be recommended according to a product length size interval corresponding to the peak point. For example, on a distribution curve taking the product quantity ratio as a vertical axis and the product length size interval as a horizontal axis, assuming that the distribution curve has 6 peak points in total, the length value of the package to be recommended can be determined according to the product length size interval corresponding to the 6 peak points. For example, the length size interval of the product corresponding to the 6 peak points is 110mm to 120mm, 140mm to 150mm, 190mm to 200mm, 260mm to 270mm, 310mm to 320mm, 350mm to 360mm, and then the following length values of the package to be recommended can be set: 110 mm-120 mm, 140 mm-150 mm, 190 mm-200 mm, 260 mm-270 mm, 310 mm-320 mm, 350 mm-360 mm.

In another optional embodiment, when the distribution of the products in the length dimension is specifically the distribution of the ex-warehouse volume of the products in different length dimension intervals, determining the length value of the package to be recommended according to the distribution of the products in the length dimension includes: and determining a peak point of the ratio of the product ex-warehouse quantity in the length size distribution, and determining the length value of the package to be recommended according to a product length size interval corresponding to the peak point. For example, on a distribution curve taking the product ex-warehouse volume ratio as a vertical axis and the product length size interval as a horizontal axis, assuming that the distribution curve has 6 peak points in total, the length value of the package to be recommended can be determined according to the product length size interval corresponding to the 6 peak points. For example, the length size interval of the product corresponding to the 6 peak points is 50mm to 60mm, 140mm to 150mm, 190mm to 200mm, 260mm to 270mm, 310mm to 320mm, 350mm to 360mm, and then the following length values of the package to be recommended can be set: 50 mm-60 mm, 140 mm-150 mm, 190 mm-200 mm, 260 mm-270 mm, 310 mm-320 mm, 350 mm-360 mm.

In the embodiment of the invention, the size utilization rate of the packages to be recommended in the length direction can be improved by counting the distribution of the products on the length size and setting the length value of the packages according to the distribution; and, through selecting the length dimension interval that product quantity accounts for than or the volume of leaving warehouse accounts for than the peak point and corresponds on the distribution curve and set up a plurality of packing sizes, set up a plurality of packing sizes in the length dimension distribution interval that the product is intensive relatively promptly, can improve packing size's utilization ratio, reduce the waste of packing consumptive material.

In step S103, after determining the length value of the package to be recommended, for each length value of the package to be recommended, determining the distribution of the product under the length value on the aspect ratio, and determining the width value of the package to be recommended according to the distribution of the product under the length value on the aspect ratio; and determining the distribution of the products under the length value on the length-to-height ratio aiming at the length value of each package to be recommended, and determining the height value of the package to be recommended according to the distribution of the products under the length value on the length-to-height ratio.

In an alternative embodiment, for each length value of the package to be recommended, the distribution of the product quantity in the length-width ratio interval of different products is determined under the length value. Specifically, the number of products corresponding to each aspect ratio interval may be counted in each aspect ratio interval, and then divided by the total number of all products under the length value, so as to obtain the product number ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product number ratio on the aspect ratio of the products. And then, setting the length-width ratio value of the package according to the distribution of the product quantity on the length-width ratio of the product, and determining the width value of the package according to the length value of the package and the length-width ratio value of the package.

Further, in this optional embodiment, for each length value of the package to be recommended, the distribution of the product quantity in the length-to-height ratio interval of different products under the length value is determined. Specifically, the number of products corresponding to each aspect ratio interval may be counted in each aspect ratio interval, and then divided by the total number of all products under the length value, so as to obtain the product number ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product number ratio in each product aspect ratio interval. And then, setting the length-height ratio value of the package according to the distribution of the product quantity ratio in each product length-height ratio interval, and determining the height value of the package according to the previously determined length value of the package and the determined length-height ratio value of the package.

In another optional embodiment, for each length value of the package to be recommended, the distribution of the ex-warehouse quantity of the product in the length-width ratio interval of different products under the length value is determined. Specifically, the warehouse-out quantity of the product corresponding to each length-width ratio interval may be counted in each length-width ratio interval, and then divided by the warehouse-out quantity of all the products under the value of the length, so as to obtain the ratio of the warehouse-out quantity of the product corresponding to the length-width ratio interval, and thus obtain the distribution of the ratio of the warehouse-out quantity of the product on the length-width ratio of the product. And then, setting the length-width ratio value of the package according to the distribution of the product delivery volume on the length-width ratio of the product, and determining the width value of the package according to the previously determined length value of the package and the determined length-width ratio value of the package.

Further, in the optional embodiment, for each length value of the package to be recommended, the distribution of the product delivery volume in the length-height ratio interval of different products under the length value is determined. Specifically, the product ex-warehouse quantity corresponding to each length-height ratio interval may be counted in each length-height ratio interval, and then divided by the ex-warehouse quantities of all the products under the value of the length, so as to obtain the product ex-warehouse quantity ratio corresponding to the length-height ratio interval, and thus obtain the distribution of the product ex-warehouse quantity ratio on the product length-height ratio. And then, setting the length-height ratio of the package according to the maximum value or the accumulated value of the ratio of the product delivery volume in the length-height ratio distribution, and determining the height value of the package according to the previously determined length value of the package and the previously determined length-height ratio value of the package.

Considering that the length, the width and the height of the product have a binding relationship, if the three dimensions are cut and split to perform dimension analysis respectively, the obtained analysis result of the dimension of the package to be recommended may have a relatively large deviation from the actual use condition, for example, the dimension of the package to be recommended obtained according to the dimension analysis may not meet the package requirements of flat and slender products, or the package dimension still has a great waste. In view of this, the embodiment of the present invention introduces the concept of the size ratio, determines the package size by comprehensively considering the product size binding relationship in step S103, and determines the width value and the height value of the package by analyzing the distribution of the product in the aspect ratio and the length-to-height ratio after determining the package length value, thereby achieving the optimal package size utilization ratio.

In the embodiment of the invention, the corresponding packaging size can be pertinently recommended according to different product size distributions through the steps, so that the utilization rate of the product packaging size is improved, and the waste of packaging space and materials is reduced.

Referring to fig. 2, a flow chart of a method for recommending a product package size according to an embodiment of the present invention is shown, including the following steps:

s201: basic data of various products are obtained.

In step S201, basic data of a plurality of products for a period of time may be extracted from the e-commerce system through a database interface. For example, the basic data of all products in a warehouse in the last year is extracted.

Further, after step S201, the method of the embodiment of the present invention further includes: and preprocessing the basic data of the product. Wherein, the preprocessing of the basic data of the product comprises the following steps: and eliminating interference data. Basic data of a product is key information for size analysis, interference data need to be removed in order to ensure accuracy of an analysis result, and otherwise, the analysis result has large deviation. For example, soft, foldable products such as clothing, towels, scarves, etc. are excluded from the product base data. Such products are foldable products, and are generally large in size and extremely small in size in one direction, which makes data analysis difficult and makes analysis results deviate. Therefore, in order to ensure the accuracy of the analysis result, the data of the product needs to be removed before the size analysis is performed based on the basic data of the product.

Further, the preprocessing of the basic data of the product further comprises: the three side lengths of the product are sequenced from large to small or from small to large, the longest side of the product is used as the length, the second longest side of the product is used as the width, and the shortest side of the product is used as the height.

In the prior art, the length, width and height generally refer to the size of a product after being placed upright, and the length, width and height have no corresponding sorting relation, which may cause that the product cannot correspond to the size of a packaging consumable. In view of this, in the embodiment of the present invention, the product size data is sorted from large to small or from small to large, and the length, width and height are defined, that is, the longest side is used as the length, the second longest side is used as the width, and the shortest side is used as the height, and similarly, the length, width and height of the package are also defined so that the sizes of the product and the package are in one-to-one correspondence from large to small according to the side length, so that the utilization rate of the packaging consumables can be improved.

S202: determining a size representation of the product based on the base data for the plurality of products.

In step S202, a product size is rendered based on the basic data of the plurality of products obtained in step S201. Specifically, the occurrence frequency of the whole product in a certain size interval is analyzed, the highest frequency size interval in the whole distribution is selected, distribution data of three dimensions of length, width and height are obtained, and the size form of the product is integrally analyzed. For example, by analyzing the distribution of the quantity of products in a warehouse or the delivery quantity on the length, width and height of the products, the length of the products with the delivery quantity accounting for more than 90% is less than 320mm, the width of the products with the delivery quantity accounting for more than 90% is less than 200mm, and the height of the products with the delivery quantity accounting for more than 90% is less than 110mm, so that the dimensional characteristics of the products can be integrally and macroscopically grasped from the above information, and whether the design of the existing packaging models is reasonable from the macroscopic perspective can be better compared, and whether the requirements of the sizes and the shapes of the products can be met.

Through the macroscopic analysis of the product dimension characteristics in step S202, the dimension profile of the product can be globally known, and it can be determined from the dimension image whether the approximate form of our product is rectangular, flat or slender, so that according to the approximate form of this product, the product package dimension can be recommended while the package is favorably inclined to the approximate form. Illustratively, the length, width and height dimension data of the product mainly focus on the ranges of length 400-.

S203: determining a distribution of products in a length dimension based on the base data for the plurality of products; and determining the length value of the package to be recommended according to the distribution of the products on the length dimension.

In an alternative embodiment, the distribution of product quantity ratios over different product length size intervals is determined based on the base data for the plurality of products. Specifically, the product quantity corresponding to each length size interval may be counted and divided by the total quantity of all the products to obtain the product quantity ratio corresponding to the length size interval, so as to obtain the distribution of the product quantity ratio on the product length size. For example, when the product code is expressed by SKU (stock keeping unit), and the product length size range is 50mm to 300mm, and the product length size interval is set to 10mm, the SKU number ratio in the length size interval of 50mm to 60mm, the SKU number ratio in the length size interval of 60mm to 70mm, … …, and the SKU number ratio in the length size interval of 290mm to 300mm can be counted, and the distribution of the SKU number ratio in the product length size can be obtained. In particular implementations, for products without historical sales data, such as new products on shelves, the size of the package to be recommended may be determined based on the distribution of the product quantity over the product length dimension.

In another alternative embodiment, the distribution of product inventory ratios over different product length size intervals is determined based on the base data for the plurality of products. Specifically, the product ex-warehouse quantity corresponding to each length size interval can be counted in each length size interval, and then divided by the ex-warehouse quantities of all the products, so that the product ex-warehouse quantity ratio corresponding to the length interval is obtained, and the distribution of the product ex-warehouse quantity ratio on the length size of the products is obtained. For example, assuming that the product length size range is 50mm to 300mm and the product length size interval is 10mm, the ratio of the product delivery amount in the length size interval of 50mm to 60mm, the ratio of the product delivery amount in the length size interval of 60mm to 70mm, … …, and the ratio of the product delivery amount in the length size interval of 290mm to 300mm may be counted, and the distribution of the product delivery amount ratio in the product length size may be obtained. In specific implementation, for products with historical sales data, the size of the package to be recommended can be determined based on the distribution of the product ex-warehouse quantity ratio on the length size of the products.

It should be noted that the distribution of products in the length dimension of the present invention includes, but is not limited to, the distribution of product quantity over the length dimension, and the distribution of product delivery over the length dimension, as described above. Other specific representations which characterize the distribution of the product in the length dimension may also be used by those skilled in the art without affecting the practice of the present invention.

Further, after the distribution of the products on the length dimension is obtained, the length value of the package to be recommended is determined according to the distribution of the products on the length dimension. In an alternative embodiment, when the distribution of the products in the length dimension is specifically the distribution of the number of the products in the length dimension, the determining the length value of the package to be recommended according to the distribution of the products in the length dimension includes: determining a peak point of the product quantity in the length size distribution, and determining the length value of the package to be recommended according to a product length size interval corresponding to the peak point. For example, on a distribution curve taking the product quantity ratio as a vertical axis and the product length size interval as a horizontal axis, assuming that the distribution curve has 6 peak points in total, the length value of the package to be recommended can be determined according to the product length size interval corresponding to the 6 peak points. For example, the length size interval of the product corresponding to the 6 peak points is 110mm to 120mm, 140mm to 150mm, 190mm to 200mm, 260mm to 270mm, 310mm to 320mm, 350mm to 360mm, and then the following length values of the package to be recommended can be set: 110 mm-120 mm, 140 mm-150 mm, 190 mm-200 mm, 260 mm-270 mm, 310 mm-320 mm, 350 mm-360 mm.

In another optional embodiment, when the distribution of the products in the length dimension is specifically the distribution of the product ex-warehouse volume in intervals of different length dimensions, determining the length value of the package to be recommended according to the distribution of the products in the length dimension includes: determining a peak point of the ex-warehouse quantity of the products in the length size distribution, and determining the length value of the package to be recommended according to a product length size interval corresponding to the peak point. For example, on a distribution curve taking the product ex-warehouse volume ratio as a vertical axis and the product length size interval as a horizontal axis, assuming that the distribution curve has 6 peak points in total, the length value of the package to be recommended can be determined according to the product length size interval corresponding to the 6 peak points. For example, the length of the product corresponding to the 6 peak points is 50mm to 60mm, 140mm to 150mm, 190mm to 200mm, 260mm to 270mm, 310mm to 320mm, 350mm to 360mm, and the following length values of the package to be recommended can be set: 50 mm-60 mm, 140 mm-150 mm, 190 mm-200 mm, 260 mm-270 mm, 310 mm-320 mm, 350 mm-360 mm. In particular, the sales of all SKUs may not be even, and long-tailed conditions may exist. In this case, a higher distribution of SKU sizes for high sales may be given more package sizes to increase package utilization. In addition, for the long tail condition of sales volume, the utilization rate of the package can be properly sacrificed, the control on the whole model number of the package is achieved, the operation efficiency is improved, and the extra cost caused by complex model selection, dead stock or insufficient production of suppliers and the like is reduced.

In the embodiment of the invention, the size utilization rate of the package to be recommended in the length direction can be improved by counting the distribution of the products in the length size interval and setting the length value of the package according to the distribution; and, through selecting the length dimension interval that product quantity accounts for than or the volume of leaving warehouse accounts for than the peak point and corresponds on the distribution curve and set up a plurality of packing sizes, set up a plurality of packing sizes in the length dimension distribution interval that the product is intensive relatively promptly, can improve packing size's utilization ratio, reduce the waste of packing consumptive material.

S204: aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

In step S204, after determining the length value of the package to be recommended, for each length value of the package to be recommended, determining the distribution of the product under the length value on the aspect ratio, and determining the width value of the package to be recommended according to the distribution of the product under the length value on the aspect ratio; and determining the distribution of the products under the length value on the length-to-height ratio aiming at the length value of each package to be recommended, and determining the height value of the package to be recommended according to the distribution of the products under the length value on the length-to-height ratio.

Further, in this optional embodiment, for each length value of the package to be recommended, the distribution of the product quantity in the length-to-height ratio interval of different products under the length value is determined. Specifically, the product quantity corresponding to each aspect ratio interval may be counted in each aspect ratio interval, and then divided by the total quantity of all products under the length value, so as to obtain the product quantity ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product quantity ratio on the aspect ratio of the products. And then, setting a length-height ratio value of the package according to the distribution of the product quantity ratio on the length-height ratio of the product, and determining a height value of the package according to the previously determined length value of the package and the determined length-height ratio value of the package.

Further, in the optional embodiment, for each length value of the package to be recommended, the distribution of the product delivery volume in the length-height ratio interval of different products under the length value is determined. Specifically, the product ex-warehouse quantity corresponding to each length-height ratio interval may be counted in each length-height ratio interval, and then divided by the ex-warehouse quantities of all the products under the value of the length, so as to obtain the product ex-warehouse quantity ratio corresponding to the length-height ratio interval, and thus obtain the distribution of the product ex-warehouse quantity ratio on the product length-height ratio. And then, setting a length-height ratio value of the package according to the distribution of the product delivery volume in the length-height ratio of the product, and determining a height value of the package according to the previously determined length value of the package and the determined length-height ratio value of the package.

For example, the length of the package determined in step S203 is 110mm to 120mm, and partial data of the product aspect ratio distribution for the length is shown in table 1.

TABLE 1

As can be seen from Table 1, for the products with the length within the interval of 110-120mm, when the length-width ratio interval is 50% -55%, the ratio of the warehouse-out quantity of the products is 40%, and the cumulative ratio reaches 85%, wherein the cumulative ratio is obtained by superposing the warehouse-out quantity ratio with the length-width ratio of 50% -55% or less, namely 85% + 40% + 4% + 35% + 3% + 2% + 1%. And for the products with the aspect ratio of more than 55%, because the number is small and the proportion is small, the packages suitable for the sizes of the products with the small proportion can be separately designed, so that the waste of packaging consumables and space is reduced. Therefore, the length-width ratio interval corresponding to the length value of the package of 110 mm-120 mm can be determined to be 50% -55%, and the width value of the package to be recommended is determined to be 55 mm-66 mm. In specific implementation, one or more value points may be selected from the width value interval of 55mm to 66mm as the width value of the package to be recommended, for example, the width value of the package to be recommended is 55mm, 60mm, or 66 mm. Similar to the step of determining the aspect ratio and the width of the package, the steps of determining the aspect ratio and the height of the package to be recommended are not described herein again.

S205: for bagged products, the sum of the length value and the height value of the package to be recommended is taken as the bag length, and the sum of the width value and the height value of the package to be recommended is taken as the bag width.

In the embodiment of the invention, for the case-type product, the length, width and height of the case to be recommended can be determined according to the steps S201 to S204. For the bagged products, step S205 is performed after determining the length, width and height of the package according to steps S201 to S204 for the convenience of subsequent processing.

Specifically, whether the product to be packaged is a bagged product or a boxed product can be determined in advance by a manual mode or a program algorithm, and for the boxed product, steps S201 to S204 are executed; for the bag-type product, steps S201 to S205 are performed. In step S205, the sum of the length value and the height value of the package to be recommended is taken as the bag length, and the sum of the width value and the height value of the package to be recommended is taken as the bag width. That is, for a bagged product, the corresponding size of the package to be recommended may be expressed by the bag length and the bag width.

Optionally, the method of the embodiment of the present invention further includes: after the size of the package to be recommended is determined, information such as the size of the package to be recommended is visually displayed, so that a user can timely know the size information of the package to be recommended. In addition, the space utilization rate and the cost saving rate of the size of the package to be recommended are analyzed through the existing optimization analysis tool, and the analysis result is compared with the existing package size, so that the method provided by the embodiment of the invention can obviously improve the space utilization rate of the package and save the cost of packaging consumables.

In the embodiment of the invention, the package size can be recommended in a targeted manner according to different product size distributions through the steps, so that the utilization rate of product packages is improved, and the waste of package space and materials is reduced.

Referring to fig. 3, a schematic diagram of major modules of an apparatus 300 for recommending a product package size according to an embodiment of the present invention is shown, including: an acquisition module 301, a first determination module 302, and a second determination module 303.

The acquiring module 301 is configured to acquire basic data of a plurality of products.

Illustratively, the acquisition module 301 may extract basic data of a plurality of products over a period of time from the e-commerce system through the database interface. For example, the basic data of all products in a warehouse in the last year is extracted.

A first determining module 302 for determining a distribution of products in a length dimension based on the base data of the plurality of products; the first determining module 302 is further configured to determine a length value of the package to be recommended according to the distribution of the product in the length dimension.

In an alternative embodiment, the first determining module 302 determining the distribution of the products in the length dimension based on the base data of the plurality of products includes: the first determination module 302 determines a distribution of product quantity ratios over different product length size intervals based on the base data for the plurality of products.

In another alternative embodiment, the first determining module 302 determining the distribution of the products in the length dimension based on the base data of the plurality of products includes: the first determining module 302 determines distribution of product inventory ratios over different product length size intervals based on the base data of the plurality of products.

Further, after the distribution of the products in the length dimension is obtained, the first determining module 302 determines the length value of the package to be recommended according to the distribution of the products in the length dimension. In an alternative embodiment, when the distribution of the products in the length dimension is specifically the distribution of the product quantity in the length dimension, the determining, by the first determining module 302, the length value of the package to be recommended according to the distribution of the products in the length dimension includes: the first determining module 302 determines a peak point of the product quantity ratio in the length-size distribution, and determines a length value of the package to be recommended according to a product length-size interval corresponding to the peak point.

In another alternative embodiment, when the distribution of the products in the length dimension is specifically the distribution of the ex-warehouse quantity of the products in the length dimension, the determining, by the first determining module 302, the length value of the package to be recommended according to the distribution of the products in the length dimension includes: the first determining module 302 determines a peak point of the ratio of the number of the products leaving the warehouse in the length size distribution, and determines a length value of the package to be recommended according to a product length size interval corresponding to the peak point.

In the embodiment of the invention, the distribution of the product in each length size interval is counted by the first determining module 302, and the length value of the package is set according to the distribution, so that the size utilization rate of the package to be recommended in the length direction can be improved; moreover, the first determining module 302 selects the length interval corresponding to the product quantity ratio or the ex-warehouse quantity ratio peak point on the distribution curve to set a plurality of packaging sizes, that is, sets a plurality of packaging sizes in the length interval in which the products are relatively dense, so that the utilization rate of the packaging sizes can be improved, and the waste of packaging consumables can be reduced.

A second determining module 303, configured to determine, for each length value of the package to be recommended, a distribution of the product under the length value in the aspect ratio and the aspect ratio; the second determining module 303 is further configured to determine a width value of the package to be recommended and a height value of the package to be recommended according to the distribution of the product under the length value in the aspect ratio and the aspect ratio.

In an alternative embodiment, the second determining module 303 determines, for each length value of the package to be recommended, a distribution of the product quantity in the length-width ratio interval of different products. Specifically, the number of products corresponding to each aspect ratio interval may be counted in each aspect ratio interval, and then divided by the total number of all products under the length value, so as to obtain the product number ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product number ratio on the aspect ratio of the products. And then, setting the length-width ratio value of the package according to the distribution of the product quantity on the length-width ratio of the product, and determining the width value of the package according to the length value of the package and the length-width ratio value of the package.

Further, in this optional embodiment, the second determining module 303 determines, for each length value of the package to be recommended, a distribution of the product quantity in the length-to-height ratio interval of different products according to the length value. Specifically, the product quantity corresponding to each aspect ratio interval may be counted in each aspect ratio interval, and then divided by the total quantity of all products under the length value, so as to obtain the product quantity ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product quantity ratio on the aspect ratio of the products. And then, setting a length-height ratio value of the package according to the distribution of the product quantity ratio on the length-height ratio of the product, and determining a height value of the package according to the previously determined length value of the package and the determined length-height ratio value of the package.

In another alternative embodiment, the second determining module 303 determines, for each length value of the package to be recommended, a distribution of the ex-warehouse quantity of the product in the length value over the interval of the aspect ratio of different products. Specifically, the warehouse-out quantity of the product corresponding to each length-width ratio interval may be counted in each length-width ratio interval, and then divided by the warehouse-out quantity of all the products under the value of the length, so as to obtain the ratio of the warehouse-out quantity of the product corresponding to the length-width ratio interval, and thus obtain the distribution of the ratio of the warehouse-out quantity of the product on the length-width ratio of the product. And then, setting the length-width ratio value of the package according to the distribution of the product delivery volume on the length-width ratio of the product, and determining the width value of the package according to the previously determined length value of the package and the determined length-width ratio value of the package.

Further, in this optional embodiment, the second determining module 303 determines, for each length value of the package to be recommended, a distribution of the product delivery volume in the length-to-height ratio interval of different products under the length value. Specifically, the product ex-warehouse quantity corresponding to each length-height ratio interval may be counted in each length-height ratio interval, and then divided by the ex-warehouse quantities of all the products under the value of the length, so as to obtain the product ex-warehouse quantity ratio corresponding to the length-height ratio interval, and thus obtain the distribution of the product ex-warehouse quantity ratio on the product length-height ratio. And then, setting a length-height ratio value of the package according to the distribution of the product delivery volume in the length-height ratio of the product, and determining a height value of the package according to the previously determined length value of the package and the determined length-height ratio value of the package.

Optionally, the apparatus in the embodiment of the present invention further includes a preprocessing module, configured to sort the three side lengths of the products in order from large to small or from small to large before the first determining module determines the distribution of the products in the length dimension based on the basic data of the multiple products, take the longest side of the product as the length, take the second longest side of the product as the width, and take the shortest side of the product as the height.

Optionally, the apparatus in the embodiment of the present invention further includes a conversion processing module, configured to: for bagged products, the sum of the length value and the height value of the package to be recommended is taken as the bag length, and the sum of the width value and the height value of the package to be recommended is taken as the bag width.

Optionally, the apparatus of an embodiment of the present invention further includes a product representation module for determining a size representation of the product based on the base data of the plurality of products.

In the embodiment of the invention, the package size can be recommended in a targeted manner according to different product size distributions by the device, so that the utilization rate of product packages is improved, and the waste of package space and materials is reduced.

FIG. 4 illustrates an exemplary system architecture 400 to which embodiments of the invention may be applied.

As shown in fig. 4, the system architecture 400 may include

terminal devices

401, 402, 403, a network 404, and a server 405 (by way of example only). The network 404 serves as a medium for providing communication links between the

terminal devices

401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.

A user may use

terminal devices

401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. Various communication client applications may be installed on the

terminal devices

401, 402, 403.

The

terminal devices

401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 405 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the

terminal devices

401, 402, 403.

It should be noted that the method for recommending the product package size provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, a device for recommending the product package size is generally disposed in the server 405.

It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.

As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.

The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.

In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises a lead-in module, a first packaging module and a second packaging module. The names of these modules do not in some cases form a limitation on the modules themselves, and for example, an import module may also be described as a "state management library interface import module".

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring basic data of various products; determining a distribution of products in a length dimension based on the base data for the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension; aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

According to the technical scheme of the embodiment of the invention, the method for recommending the product packaging size is provided, and the problems that the utilization rate of packaging materials and space is low, the material is wasted, and the storage and transportation efficiency is low due to the waste of packaging volume in the prior art are solved, so that the technical effects of improving the utilization rate of product packaging and reducing the waste of packaging space and materials are achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of recommending product package dimensions, the method comprising:

acquiring basic data of various products;

determining a distribution of products in a length dimension based on the base data for the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension;

aiming at the length value of each package to be recommended, determining the distribution of products under the length value on the length-width ratio and the length-height ratio; and determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

2. The method of claim 1, wherein determining the distribution of products over the length dimension based on the base data for the plurality of products comprises:

determining the distribution of the product quantity ratios on different product length size intervals based on the basic data of the plurality of products; alternatively, the first and second electrodes may be,

and determining the distribution of the product ex-warehouse quantity ratio on different product length size intervals based on the basic data of the plurality of products.

3. The method of claim 2, wherein determining a length value of a package to be recommended based on the distribution of the products over the length dimension comprises:

determining a peak point of the product quantity in the length size distribution, and determining a length value of a package to be recommended according to a product length size interval corresponding to the peak point; alternatively, the first and second electrodes may be,

determining a peak point of the ratio of the product ex-warehouse quantity in the length size distribution, and determining the length value of the package to be recommended according to a product length size interval corresponding to the peak point.

4. The method of claim 2, wherein determining the width of the package to be recommended and the height of the package to be recommended according to the distribution of the product under the length in the aspect ratio and the aspect ratio comprises:

determining an aspect ratio value of the package to be recommended according to the distribution of the product quantity ratio or the warehouse-out quantity ratio on the aspect ratio under the length value, and determining a width value of the package to be recommended according to the aspect ratio value of the package to be recommended and the length value of the package to be recommended; and the combination of (a) and (b),

and determining the length-to-height ratio value of the package to be recommended according to the distribution of the product quantity ratio or the warehouse-out quantity ratio in the length-to-height ratio under the length value, and determining the height value of the package to be recommended according to the length-to-height ratio value of the package to be recommended and the length value of the package to be recommended.

5. The method of claim 1, wherein prior to said determining a distribution of products in a length dimension based on said base data for said plurality of products, said method further comprises:

the three side lengths of the product are sequenced from large to small or from small to large, the longest side of the product is used as the length, the second longest side of the product is used as the width, and the shortest side of the product is used as the height.

6. The method of claim 1, wherein after determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the product under the length value in the aspect ratio and the aspect ratio, the method further comprises:

for bagged products, the sum of the length value and the height value of the package to be recommended is taken as the bag length, and the sum of the width value and the height value of the package to be recommended is taken as the bag width.

7. The method of claim 1, further comprising:

determining a size representation of the product based on the base data for the plurality of products.

8. An apparatus for recommending a product package size, said apparatus comprising:

the acquisition module is used for acquiring basic data of various products;

a first determining module for determining a distribution of products in a length dimension based on the base data of the plurality of products; determining the length value of the package to be recommended according to the distribution of the products on the length dimension;

the second determination module is used for determining the distribution of the products under the length value on the aspect ratio and the length-height ratio aiming at the length value of each package to be recommended; and the second determination module is also used for determining the width value of the package to be recommended and the height value of the package to be recommended according to the distribution of the products under the length value on the aspect ratio and the length-height ratio.

9. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.