A method and device for recommending product packaging size

Abstract

The present invention discloses a method and device for recommending product packaging size, and relates to the field of computer technology. A specific implementation of the method includes: obtaining basic data of multiple products; determining the distribution of products in length dimensions based on the basic data of the multiple products; determining the length value of the package to be recommended according to the distribution of the product in length dimensions; for each length value of the package to be recommended, determining the distribution of the product in aspect ratio and length-to-height ratio under the length value; determining the width value and height value of the package to be recommended according to the distribution of the product in aspect ratio and length-to-height ratio under the length value. This implementation can improve the utilization rate of product packaging and reduce the waste of packaging space and materials.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and device for recommending product packaging size. Background Art

[0002] In the existing e-commerce industry, when choosing product packaging sizes, the commonly used models and sizes are generally selected based on existing business experience or systems. Most large e-commerce companies have their own packaging size systems. As for emerging e-commerce companies, most of them refer to the packaging standards of other e-commerce companies to choose the size of logistics and express packaging, or optimize the packaging size appropriately based on typical products.

[0003] In the process of realizing the present invention, the inventors found that there are at least the following problems in the prior art: the prior art can only recommend existing packaging models for operators to adopt, but cannot specifically recommend packaging sizes according to products of different sizes and sales volumes, resulting in very low utilization of packaging materials and space, causing waste of materials and packaging volume, and leading to relatively low efficiency of storage and transportation. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method and device for recommending product packaging size, which can improve the utilization rate of product packaging and reduce the waste of packaging space and materials compared with the prior art.

[0005] To achieve the above objective, according to one aspect of an embodiment of the present invention, a method for recommending product packaging size is provided.

[0006] The method for recommending product packaging size provided by the present invention includes: obtaining basic data of multiple products; determining the distribution of products in length dimensions based on the basic data of the multiple products; determining length values ​​of the packages to be recommended according to the distribution of the products in length dimensions; for each length value of the packages to be recommended, determining the distribution of the aspect ratio and the length-to-height ratio of the products under the length value; determining the width value and the height value of the packages to be recommended according to the distribution of the aspect ratio and the length-to-height ratio of the products under the length value.

[0007] Optionally, determining the distribution of products in length size based on the basic data of the multiple products includes: determining the distribution of product quantity proportions in different product length size intervals based on the basic data of the multiple products; or determining the distribution of product shipment proportions in different product length size intervals based on the basic data of the multiple products.

[0008] Optionally, determining the length value of the package to be recommended based on the distribution of the product in length dimension includes: determining the peak point of the product quantity proportion in the length dimension distribution, and determining the length value of the package to be recommended based on the product length dimension interval corresponding to the peak point; or, determining the peak point of the product shipment proportion in the length dimension distribution, and determining the length value of the package to be recommended based on the product length dimension interval corresponding to the peak point.

[0009] Optionally, determining the width value and the height value of the package to be recommended according to the distribution of the aspect ratio and the length-to-height ratio of the products under the length value includes: determining the aspect ratio value of the package to be recommended according to the distribution of the product quantity proportion or the product shipment proportion under the length value in the aspect ratio, and determining the width value of the package to be recommended according to the aspect ratio value and the length value of the package to be recommended; and, determining the length-to-height ratio value of the package to be recommended according to the distribution of the product quantity proportion or the product shipment proportion under the length value in the aspect ratio, and determining the height value of the package to be recommended according to the length-to-height ratio value and the length value of the package to be recommended.

[0010] Optionally, before determining the distribution of products in length dimensions based on the basic data of the multiple products, the method further includes: sorting the three sides of the products in order from large to small or from small to large, and taking the longest side of the product as the length, the second longest side of the product as the width, and the shortest side of the product as the height.

[0011] Optionally, after determining the width value and the height value of the recommended package according to the distribution of the product aspect ratio and length-to-height ratio under the length value, the method further includes: for bagged products, taking the sum of the length value and the height value of the recommended package as the bag length, and taking the sum of the width value and the height value of the recommended package as the bag width.

[0012] Optionally, the method further includes: determining a size portrait of the product based on basic data of the multiple products.

[0013] To achieve the above objective, according to another aspect of an embodiment of the present invention, a device for recommending product packaging size is provided.

[0014] The device for recommending product packaging size provided by the present invention includes: an acquisition module, which is used to acquire basic data of multiple products; a first determination module, which is used to determine the distribution of products in length dimensions based on the basic data of the multiple products; and determine the length value of the package to be recommended according to the distribution of the products in length dimensions; a second determination module, which is used to determine the distribution of the aspect ratio and the length-to-height ratio of the products under each length value of the package to be recommended; and the second determination module is also used to determine the width value and the height value of the package to be recommended according to the distribution of the aspect ratio and the length-to-height ratio of the products under the length value.

[0015] To achieve the above-mentioned purpose, according to another aspect of an embodiment of the present invention, there is provided an electronic device for recommending product packaging size, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement any of the methods described above.

[0016] To achieve the above object, according to another aspect of an embodiment of the present invention, a computer-readable medium is provided, on which a computer program is stored, and when the program is executed by a processor, any of the above methods is implemented.

[0017] An embodiment of the above invention has the following advantages or beneficial effects: by obtaining basic data of multiple products; determining the distribution of products in length dimensions based on the basic data of the multiple products; determining the length value of the package to be recommended according to the distribution of the products in length dimensions; for each length value of the package to be recommended, determining the distribution of the aspect ratio and the length-to-height ratio of the products under the length value; determining the width value and the height value of the package to be recommended according to the distribution of the aspect ratio and the length-to-height ratio of the products under the length value. These steps overcome the problem that the utilization rate of packaging materials and space in the prior art is very low, resulting in material waste, and there is still waste in packaging volume, resulting in relatively low storage and transportation efficiency, thereby achieving the effect of improving the utilization rate of product packaging and reducing the waste of packaging space and materials.

[0018] The further effects of the above-mentioned non-conventional optional manner will be described below in conjunction with specific implementation examples. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a schematic diagram of the main process of a method for recommending product packaging size according to an embodiment of the present invention;

[0020] Figure 2 is a flow chart of an optional method for recommending product packaging size according to an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of main modules of a device for recommending product packaging size according to an embodiment of the present invention;

[0022] Figure 4 is an exemplary system architecture diagram to which embodiments of the present invention may be applied;

[0023] Figure 5 It is a schematic diagram of the structure of a computer system of a mobile device or a server suitable for implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0025] It should be noted that the various embodiments of the present invention and the technical features in the embodiments may be combined with each other without affecting the implementation of the present invention.

[0026] See also Figure 1 , which shows the main process of a method for recommending product packaging size provided by an embodiment of the present invention, including the following steps:

[0027] S101: Obtain basic data of multiple products.

[0028] S102: Determine the distribution of the length dimensions of the products based on the basic data of the multiple products; and determine the length value of the package to be recommended according to the distribution of the length dimensions of the products.

[0029] S103: for each length value of the package to be recommended, determine the distribution of the aspect ratio and the length-to-height ratio of the products under the length value; determine the width value and the height value of the package to be recommended according to the distribution of the aspect ratio and the length-to-height ratio of the products under the length value.

[0030] For example, in step S101, basic data of multiple products within a period of time may be extracted from the e-commerce system through a database interface, for example, basic data of all products in a warehouse within the past year may be extracted.

[0031] Among them, the basic data of the product includes information such as product size. Product size refers to the maximum external dimensions of the product, such as the length of the three sides of the product. This information is key information for dimensional analysis. In addition, the basic data of the product may also include data such as the original packaging size of the product, product sales, and packaging usage in the previous cycle. The original packaging size of the product can also be called the original logistics consumables size of the product. For box packaging, the original packaging size includes but is not limited to the length, width, and height of the original packaging of the product; for bag packaging, the original packaging size includes but is not limited to the bag length and bag width of the original packaging of the product. Product sales refers to the product shipment volume within a period of time, such as the product shipment volume in the past year. The usage of packaging in the previous cycle may include the type, model, and amount of product packaging actually used in the previous cycle.

[0032] In step S102, the basic data of the product obtained in step S101 is analyzed and processed to obtain the distribution of the length dimension of the product.

[0033] In an optional embodiment, the distribution of the product quantity ratio in the product length dimension is determined based on the basic data of the multiple products. Specifically, the number of products corresponding to each length dimension interval can be counted, and then divided by the total number of all products to obtain the product quantity ratio corresponding to the length dimension interval, thereby obtaining the distribution of the product quantity ratio in the product length dimension. For example, when the product is represented by SKU (stock keeping unit), and the product length dimension range is 50mm to 300mm, and the product length dimension interval is set to 10mm, the SKU quantity ratio within the length dimension interval of 50mm to 60mm, the SKU quantity ratio within the length dimension interval of 60mm to 70mm, ..., and the SKU quantity ratio within the length dimension interval of 290mm to 300mm can be counted, and then the SKU quantity ratio in the product length dimension can be obtained.

[0034] In another optional embodiment, the distribution of the proportion of product shipments in different product length size intervals is determined based on the basic data of the multiple products. Specifically, in each length size interval, the product shipment corresponding to the length size interval can be counted, and then divided by the shipment of all products, so as to obtain the proportion of product shipments corresponding to the length interval, thereby obtaining the distribution of the proportion of product shipments in different product length size intervals. For example, assuming that the product length size range is 50mm to 300mm, and the product length size interval size is set to 10mm, the proportion of product shipments in the length size interval of 50mm to 60mm, the proportion of product shipments in the length size interval of 60mm to 70mm, ..., and the proportion of product shipments in the length size interval of 290mm to 300mm can be counted, and then the distribution of the proportion of product shipments in each product length size interval can be obtained.

[0035] It should be noted that the distribution of the length dimension of the products in the present invention includes but is not limited to the distribution of the proportion of the number of products in each length dimension interval and the distribution of the proportion of the product shipment in each length dimension interval as described above. Without affecting the implementation of the present invention, those skilled in the art may also adopt other specific representation forms that can characterize the distribution of the length dimension of the products.

[0036] Further, after obtaining the distribution of the products in length dimension, the length value of the package to be recommended is determined according to the distribution of the products in length dimension. In an optional embodiment, when the distribution of the products in length dimension is specifically the distribution of the product quantity proportion in length dimension, determining the length value of the package to be recommended according to the product length dimension distribution includes: determining the peak point of the product quantity proportion in the length dimension distribution, and determining the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point. For example, on a distribution curve with the product quantity proportion as the vertical axis and the product length dimension interval as the horizontal axis, assuming that the distribution curve has a total of 6 peak points, the length value of the package to be recommended can be determined according to the product length dimension interval corresponding to the 6 peak points. For example, the product length size ranges corresponding to these six peak points are 110mm~120mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, 350mm~360mm, then the length values ​​of the recommended packaging can be set as follows: 110mm~120mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, 350mm~360mm.

[0037] In another optional embodiment, when the distribution of the length dimension of the product is specifically the distribution of the proportion of the product shipment in different length dimension intervals, determining the length value of the package to be recommended according to the distribution of the product in the length dimension includes: determining the peak point of the proportion of the product shipment in the length dimension distribution, and determining the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point. For example, on a distribution curve with the proportion of the product shipment as the vertical axis and the product length dimension interval as the 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 dimension interval corresponding to the 6 peak points. For example, the product length size ranges corresponding to these six peak points are 50mm~60mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, and 350mm~360mm. The following length values ​​for the recommended packaging can be set: 50mm~60mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, and 350mm~360mm.

[0038] In an embodiment of the present invention, by statistically analyzing the distribution of products in length dimensions and setting the length value of the package accordingly, the dimension utilization rate of the recommended package in the length direction can be improved; and by selecting the length dimension interval corresponding to the peak point of the product quantity proportion or the warehouse shipment proportion on the distribution curve to set multiple package dimensions, that is, setting multiple package dimensions in the length dimension distribution interval where the products are relatively dense, it is possible to improve the utilization rate of the package dimensions and reduce the waste of packaging consumables.

[0039] In step S103, after determining the length value of the package to be recommended, for each length value of the package to be recommended, the distribution of the length-to-width ratio of the products at the length value is determined, and the width value of the package to be recommended is determined based on the distribution of the length-to-width ratio of the products at the length value; and, for each length value of the package to be recommended, the distribution of the length-to-height ratio of the products at the length value is determined, and the height value of the package to be recommended is determined based on the distribution of the length-to-height ratio of the products at the length value.

[0040] In an optional implementation, for each length value of the package to be recommended, the distribution of the product quantity ratio under the length value in different product aspect ratio intervals is determined. Specifically, the number of products corresponding to the aspect ratio interval can 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 quantity ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product quantity ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product quantity ratio on the product aspect ratio, and then the width value of the package is determined according to the length value of the package and the aspect ratio value of the package.

[0041] Furthermore, in this optional implementation, for each length value of the package to be recommended, the distribution of the proportion of the number of products under the length value in different product length-to-height ratio intervals is determined. Specifically, in each length-to-height ratio interval, the number of products corresponding to the length-to-height ratio interval can be counted, and then divided by the total number of all products under the length value, so as to obtain the proportion of the number of products corresponding to the length-to-height ratio interval, and thus obtain the distribution of the proportion of the number of products in each product length-to-height ratio interval. Afterwards, the length-to-height ratio value of the package is set according to the distribution of the proportion of the number of products in each product length-to-height ratio interval, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0042] In another optional implementation, for each length value of the package to be recommended, the distribution of the product shipment ratio under the length value in different product aspect ratio intervals is determined. Specifically, the product shipment corresponding to the aspect ratio interval can be counted in each aspect ratio interval, and then divided by the shipment of all products under the length value, so as to obtain the product shipment ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product shipment ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product shipment ratio on the product aspect ratio, and then the width value of the package is determined according to the previously determined package length value and the package aspect ratio value.

[0043] Further, in this optional implementation, for each length value of the package to be recommended, the distribution of the proportion of product shipments under the length value in different product length-to-height ratio intervals is determined. Specifically, in each length-to-height ratio interval, the product shipment corresponding to the length-to-height ratio interval can be counted, and then divided by the shipment of all products under the length value, so as to obtain the proportion of product shipments corresponding to the length-to-height ratio interval, thereby obtaining the proportion of product shipments corresponding to the length-to-height ratio interval, thereby obtaining the distribution of the proportion of product shipments on the product length-to-height ratio. Afterwards, the length-to-height ratio of the package is set according to the maximum value or cumulative value of the proportion of product shipments in the length-to-height ratio distribution, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0044] Considering the binding relationship between the length, width and height of the product, if the three dimensions are separated and analyzed separately, there may be a large deviation between the analysis result of the recommended packaging dimensions and the actual usage. For example, the recommended packaging dimensions obtained based on the dimension analysis may not meet the packaging requirements of flat and slender products, or there may still be a lot of waste in the packaging dimensions. In view of this, the embodiment of the present invention introduces the concept of dimension ratio, and in step S103, the packaging dimensions are determined by comprehensively considering the binding relationship of product dimensions. After determining the value of the packaging length, the distribution of the product in the aspect ratio and the length-to-height ratio is analyzed to determine the width and height values ​​of the packaging, so as to achieve the best packaging dimension utilization.

[0045] In the embodiment of the present invention, the above steps can achieve targeted recommendation of corresponding packaging sizes for different product size distributions, thereby improving the utilization rate of product packaging sizes and reducing the waste of packaging space and materials.

[0046] See also Figure 2 , which shows a process of a method for recommending product packaging size provided by an embodiment of the present invention, comprising the following steps:

[0047] S201: Obtain basic data of multiple products.

[0048] In step S201, basic data of multiple products within a period of time may be extracted from the e-commerce system through a database interface, for example, basic data of all products in a warehouse within the past year may be extracted.

[0049] Among them, the basic data of the product includes information such as product size. Product size refers to the maximum external dimensions of the product, such as the length of the three sides of the product. This information is key information for dimensional analysis. In addition, the basic data of the product may also include data such as the original packaging size of the product, product sales, and packaging usage in the previous cycle. The original packaging size of the product can also be called the original logistics consumables size of the product. For box packaging, the original packaging size includes but is not limited to the length, width, and height of the original packaging of the product; for bag packaging, the original packaging size includes but is not limited to the bag length and bag width of the original packaging of the product. Product sales refers to the product shipment volume within a period of time, such as the product shipment volume in the past year. The usage of packaging in the previous cycle may include the type, model, and amount of product packaging actually used in the previous cycle.

[0050] Further, after step S201, the method of the embodiment of the present invention also includes: preprocessing the basic data of the product. Among them, preprocessing the basic data of the product includes: eliminating interference data. The basic data of the product is the key information for dimensional analysis. In order to ensure the accuracy of the analysis results, it is necessary to eliminate interference data, otherwise the analysis results will be greatly biased. For example, soft and foldable products such as clothing, towels, and scarves are eliminated from the basic data of the product. Such products are foldable products, which are usually large in size and extremely small in one direction, which will make data analysis difficult and the analysis results biased. Therefore, in order to ensure the accuracy of the analysis results, before performing dimensional analysis based on the basic data of the product, the data of this part of the product needs to be eliminated.

[0051] Furthermore, preprocessing the basic data of the product also includes: sorting the three sides of the product in order from large to small or from small to large, and taking the longest side of the product as the length, the second longest side of the product as the width, and the shortest side of the product as the height.

[0052] In the prior art, length, width and height usually refer to the dimensions of a product when it is placed upright. There is no corresponding sorting relationship between the length, width and height, which may result in the product not being able to correspond to the dimensions of the packaging consumables. In view of this, in an embodiment of the present invention, the product dimension 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 taken as the length, the second longest side is taken as the width, and the shortest side is taken as the height. Similarly, the length, width and height of the package are also defined in this way, so that the dimensions of the product and the package correspond one by one according to the length of the side from large to small, which can improve the utilization rate of the packaging consumables.

[0053] S202: Determine a size profile of the product based on the basic data of the multiple products.

[0054] In step S202, based on the basic data of multiple products obtained in step S201, product size profiling is performed. Specifically, the frequency of occurrence of the overall product in a certain size range is analyzed, the size range with the highest frequency in the overall distribution is selected, and the distribution data of the three dimensions of length, width and height are obtained to analyze the size and shape of the product as a whole. For example, by analyzing the distribution of the number of products in a warehouse or the outbound volume in terms of the length, width and height of the product, it can be concluded that the length of products accounting for more than 90% of the outbound volume is less than 320mm, the width of products accounting for more than 90% of the outbound volume is less than 200mm, and the height of products accounting for more than 90% of the outbound volume is less than 110mm. From the above information, the size characteristics of the product can be grasped in an overall macroscopic manner, and the existing packaging model design can be better compared from a macroscopic perspective to see whether it is reasonable and whether it can meet the requirements of product size and shape.

[0055] Through the macroscopic analysis of the product size characteristics in step S202, the size profile of the product can be globally understood, and the general shape of our product can be determined based on the size portrait, whether it is a rectangular parallelepiped, flat, or slender, so that according to the general shape of the product, while recommending the product packaging size, it can ensure that the packaging is inclined to the general shape. For example, if the length, width, and height dimension data of the product are mainly concentrated in the range of 400-420mm in length, 50-60mm in width, and 40-50mm in height, it can be determined that the general shape of the product is slender, and when recommending the product packaging size in the future, the packaging with a shape close to slender can be selected from the packaging to be recommended.

[0056] S203: Determine the distribution of the length dimensions of the products based on the basic data of the multiple products; and determine the length value of the package to be recommended according to the distribution of the length dimensions of the products.

[0057] In an optional embodiment, the distribution of the product quantity ratio in different product length dimension intervals is determined based on the basic data of the multiple products. Specifically, the number of products corresponding to the length dimension interval can be counted in each length dimension interval, and then divided by the total number of all products, so as to obtain the product quantity ratio corresponding to the length dimension interval, and thus obtain the distribution of the product quantity ratio in the product length dimension. For example, when the product code is represented by SKU (stock keeping unit), and the product length dimension range is 50mm~300mm, and the product length dimension interval is set to 10mm, the SKU quantity ratio within the length dimension interval of 50mm~60mm, the SKU quantity ratio within the length dimension interval of 60mm~70mm, ..., and the SKU quantity ratio within the length dimension interval of 290mm~300mm can be counted, and then the distribution of the SKU quantity ratio in the product length dimension can be obtained. In specific implementation, for products without historical sales data, such as newly listed products, the size of the recommended packaging can be determined based on the distribution of the product quantity ratio in the product length dimension.

[0058] In another optional implementation, the distribution of the proportion of product shipments in different product length size intervals is determined based on the basic data of the multiple products. Specifically, the product shipment corresponding to each length size interval can be counted, and then divided by the shipment of all products, so as to obtain the proportion of product shipments corresponding to the length interval, thereby obtaining the distribution of the proportion of product shipments in the product length size. For example, assuming that the product length size range is 50mm to 300mm, and the product length size interval is set to 10mm, the proportion of product shipments in the length size interval of 50mm to 60mm, the proportion of product shipments in the length size interval of 60mm to 70mm, ..., and the proportion of product shipments in the length size interval of 290mm to 300mm can be counted, and then the distribution of the proportion of product shipments in the product length size can be obtained. In specific implementation, for products with historical sales data, the size of the recommended packaging can be determined based on the distribution of the proportion of product shipments in the product length size.

[0059] It should be noted that the distribution of products in length in the present invention includes but is not limited to the distribution of the product quantity ratio in length and the distribution of the product shipment ratio in length as described above. Without affecting the implementation of the present invention, those skilled in the art may also adopt other specific representations that can characterize the distribution of products in length.

[0060] Further, after obtaining the distribution of the products in length dimension, the length value of the package to be recommended is determined according to the distribution of the products in length dimension. In an optional embodiment, when the distribution of the products in length dimension is specifically the distribution of the product quantity proportion in length dimension, determining the length value of the package to be recommended according to the product length dimension distribution includes: determining the peak point of the product quantity proportion in the length dimension distribution, and determining the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point. For example, on a distribution curve with the product quantity proportion as the vertical axis and the product length dimension interval as the horizontal axis, assuming that the distribution curve has a total of 6 peak points, the length value of the package to be recommended can be determined according to the product length dimension interval corresponding to the 6 peak points. For example, the product length size ranges corresponding to these six peak points are 110mm~120mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, 350mm~360mm, then the length values ​​of the recommended packaging can be set as follows: 110mm~120mm, 140mm~150mm, 190mm~200mm, 260mm~270mm, 310mm~320mm, 350mm~360mm.

[0061] In another optional embodiment, when the distribution of the length dimension of the product is specifically the distribution of the proportion of the product shipment in different length dimension intervals, determining the length value of the package to be recommended according to the distribution of the product in the length dimension includes: determining the peak point of the proportion of the product shipment in the length dimension distribution, and determining the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point. For example, on a distribution curve with the proportion of the product shipment as the vertical axis and the product length dimension interval as the 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 dimension interval corresponding to the 6 peak points. For example, the product lengths corresponding to these six peak points are 50mm-60mm, 140mm-150mm, 190mm-200mm, 260mm-270mm, 310mm-320mm, and 350mm-360mm. The following length values ​​for the recommended packaging can be set: 50mm-60mm, 140mm-150mm, 190mm-200mm, 260mm-270mm, 310mm-320mm, and 350mm-360mm. In specific implementation, the sales of all SKUs may not be even, and there may be a long tail. In this case, more packaging models can be given to the size distribution area of ​​SKUs with high sales to improve packaging utilization. In addition, for the long tail of sales, the utilization rate of packaging can be appropriately sacrificed to achieve control over the number of overall packaging models, improve operational efficiency, and reduce additional costs caused by complex model selection, stagnant inventory, or insufficient supplier production.

[0062] In an embodiment of the present invention, by statistically analyzing the distribution of products in length dimension intervals and setting the length value of the package accordingly, the dimension utilization rate of the recommended package in the length direction can be improved; and by selecting the length dimension interval corresponding to the peak point of the product quantity proportion or the warehouse shipment proportion on the distribution curve to set multiple package sizes, that is, setting multiple package sizes in the length dimension distribution interval where the products are relatively dense, it is possible to improve the utilization rate of the package size and reduce the waste of packaging consumables.

[0063] S204: For each length value of the package to be recommended, determine the distribution of the aspect ratio and the length-to-height ratio of the products under the length value; determine the width value and the height value of the package to be recommended based on the distribution of the aspect ratio and the length-to-height ratio of the products under the length value.

[0064] In step S204, after determining the length value of the package to be recommended, for each length value of the package to be recommended, the distribution of the length-to-width ratio of the products at the length value is determined, and the width value of the package to be recommended is determined based on the distribution of the length-to-width ratio of the products at the length value; and, for each length value of the package to be recommended, the distribution of the length-to-height ratio of the products at the length value is determined, and the height value of the package to be recommended is determined based on the distribution of the length-to-height ratio of the products at the length value.

[0065] In an optional implementation, for each length value of the package to be recommended, the distribution of the product quantity ratio under the length value in different product aspect ratio intervals is determined. Specifically, the number of products corresponding to the aspect ratio interval can 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 quantity ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product quantity ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product quantity ratio on the product aspect ratio, and then the width value of the package is determined according to the length value of the package and the aspect ratio value of the package.

[0066] Furthermore, in this optional implementation, for each length value of the package to be recommended, the distribution of the proportion of the number of products under the length value in different product length-to-height ratio intervals is determined. Specifically, in each length-to-height ratio interval, the number of products corresponding to the length-to-height ratio interval can be counted, and then divided by the total number of all products under the length value, so as to obtain the proportion of the number of products corresponding to the length-to-height ratio interval, and thus obtain the distribution of the proportion of the number of products in the product length-to-height ratio. Afterwards, the length-to-height ratio value of the package is set according to the distribution of the proportion of the number of products in the product length-to-height ratio, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0067] In another optional implementation, for each length value of the package to be recommended, the distribution of the product shipment ratio under the length value in different product aspect ratio intervals is determined. Specifically, the product shipment corresponding to the aspect ratio interval can be counted in each aspect ratio interval, and then divided by the shipment of all products under the length value, so as to obtain the product shipment ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product shipment ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product shipment ratio on the product aspect ratio, and then the width value of the package is determined according to the previously determined package length value and the package aspect ratio value.

[0068] Further, in this optional implementation, for each length value of the package to be recommended, the distribution of the product shipment ratio under the length value in different product length-to-height ratio intervals is determined. Specifically, in each length-to-height ratio interval, the product shipment corresponding to the length-to-height ratio interval can be counted, and then divided by the shipment of all products under the length value, so as to obtain the product shipment ratio corresponding to the length-to-height ratio interval, so as to obtain the product shipment ratio corresponding to the length-to-height ratio interval, so as to obtain the distribution of the product shipment ratio on the product length-to-height ratio. Afterwards, the length-to-height ratio value of the package is set according to the distribution of the product shipment ratio on the product length-to-height ratio, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0069] Considering the binding relationship between the length, width and height of the product, if the three dimensions are separated and analyzed separately, there may be a large deviation between the analysis result of the recommended packaging dimensions and the actual usage. For example, the recommended packaging dimensions obtained based on the dimension analysis may not meet the packaging requirements of flat and slender products, or there may still be a lot of waste in the packaging dimensions. In view of this, the embodiment of the present invention introduces the concept of dimension ratio, and in step S103, the packaging dimensions are determined by comprehensively considering the binding relationship of product dimensions. After determining the value of the packaging length, the distribution of the product in the aspect ratio and the length-to-height ratio is analyzed to determine the width and height values ​​of the packaging, so as to achieve the best packaging dimension utilization.

[0070] For example, the length of the package determined in step S203 is 110 mm to 120 mm, and some data on the distribution of the aspect ratio of the product under this length value is shown in Table 1.

[0071] Table 1

[0072]

[0073] It can be seen from Table 1 that for products with a length in the range of 110-120mm, when the aspect ratio is in the range of 50%-55%, the product shipment accounts for 40%, and the cumulative proportion is 85%. The cumulative proportion is obtained by superimposing the shipment proportion of products with an aspect ratio less than or equal to 50%-55%, that is, 85%=40%+4%+35%+3%+2%+1%. For products with an aspect ratio greater than 55%, since their quantity is small and their proportion is small, it is possible to design packaging suitable for their size for these products with a small proportion to reduce the waste of packaging consumables and space. Therefore, it can be determined that the aspect ratio range corresponding to the length value of 110mm~120mm is 50%~55%, thereby determining that the width of the recommended packaging is 55mm~66mm. In specific implementation, one or more value points can be selected from the above width value range of 55mm-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, and 66mm. The step of determining the aspect ratio and height of the package to be recommended is similar to the step of determining the aspect ratio and width of the package, and will not be repeated here.

[0074] S205: For bagged products, the sum of the length value and the height value of the package to be recommended is used as the bag length, and the sum of the width value and the height value of the package to be recommended is used as the bag width.

[0075] In the embodiment of the present invention, for boxed products, the length, width, and height of the box to be recommended can be determined according to steps S201 to S204. For bagged products, in order to facilitate subsequent processing, after the length, width, and height of the package are determined according to steps S201 to S204, step S205 needs to be executed.

[0076] Specifically, it can be determined in advance by manual methods or program algorithms whether the product to be packaged is a bagged product or a boxed product. For boxed products, steps S201 to S204 are executed; for bagged products, steps S201 to S205 are executed. 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. In other words, for bagged products, the size of the corresponding package to be recommended can be expressed by the bag length and the bag width.

[0077] Optionally, the method of the embodiment of the present invention further includes: after determining the size of the package to be recommended, visually displaying information such as the size of the package to be recommended, so that the user can promptly obtain the size information of the package to be recommended. In addition, by analyzing the space utilization rate and cost saving rate of the size of the package to be recommended using existing optimization analysis tools, and comparing the analysis results with the existing package sizes, it is found that the method provided by the embodiment of the present invention can significantly improve the space utilization rate of the package and save the cost of packaging consumables.

[0078] In the embodiment of the present invention, the above steps can achieve targeted recommendation of packaging sizes for different product size distributions, thereby improving the utilization rate of product packaging and reducing the waste of packaging space and materials.

[0079] See also Figure 3 , which is a schematic diagram of main modules of a device 300 for recommending product packaging size provided by an embodiment of the present invention, including: an acquisition module 301, a first determination module 302, and a second determination module 303.

[0080] The acquisition module 301 is used to acquire basic data of multiple products.

[0081] Exemplarily, the acquisition module 301 can extract basic data of multiple products within a period of time from the e-commerce system through a database interface, for example, extracting basic data of all products in a warehouse within the past year.

[0082] Among them, the basic data of the product includes information such as product size. Product size refers to the maximum external dimensions of the product, such as the length of the three sides of the product. This information is key information for dimensional analysis. In addition, the basic data of the product may also include data such as the original packaging size of the product, product sales, and packaging usage in the previous cycle. The original packaging size of the product can also be called the original logistics consumables size of the product. For box packaging, the original packaging size includes but is not limited to the length, width, and height of the original packaging of the product; for bag packaging, the original packaging size includes but is not limited to the bag length and bag width of the original packaging of the product. Product sales refers to the product shipment volume within a period of time, such as the product shipment volume in the past year. The usage of packaging in the previous cycle may include the type, model, and amount of product packaging actually used in the previous cycle.

[0083] The first determination module 302 is used to determine the distribution of the length dimensions of the products based on the basic data of the multiple products; the first determination module 302 is also used to determine the length value of the package to be recommended according to the distribution of the length dimensions of the products.

[0084] In an optional embodiment, the first determination module 302 determines the distribution of products in length size based on the basic data of the multiple products, including: the first determination module 302 determines the distribution of product quantity proportions in different product length size intervals based on the basic data of the multiple products.

[0085] In another optional embodiment, the first determination module 302 determines the distribution of products in length size based on the basic data of the multiple products, including: the first determination module 302 determines the distribution of product shipment ratios in different product length size intervals based on the basic data of the multiple products.

[0086] Further, after obtaining the distribution of the product in length dimension, the first determination module 302 determines the length value of the package to be recommended according to the distribution of the product in length dimension. In an optional embodiment, when the distribution of the product in length dimension is specifically the distribution of the proportion of the number of products in length dimension, the first determination module 302 determines the length value of the package to be recommended according to the distribution of the product in length dimension, including: the first determination module 302 determines the peak point of the proportion of the number of products in the length dimension distribution, and determines the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point.

[0087] In another optional embodiment, when the distribution of products in length dimension is specifically the distribution of product outbound quantity ratio in length dimension, the first determination module 302 determines the length value of the package to be recommended according to the distribution of the product in length dimension, including: the first determination module 302 determines the peak point of the product outbound quantity ratio in the length dimension distribution, and determines the length value of the package to be recommended according to the product length dimension interval corresponding to the peak point.

[0088] In an embodiment of the present invention, the first determination module 302 counts the distribution of products in each length size interval and sets the length value of the package accordingly, thereby improving the size utilization rate of the recommended package in the length direction; and the first determination module 302 sets multiple package sizes by selecting the length interval corresponding to the peak point of the product quantity proportion or the warehouse shipment proportion on the distribution curve, that is, setting multiple package sizes in the length interval where the products are relatively dense, thereby improving the utilization rate of the package size and reducing the waste of packaging consumables.

[0089] The second determination module 303 is used to determine the distribution of the aspect ratio and the length-to-height ratio of the products under each length value to be recommended. The second determination module 303 is also used to determine the width value and the height value of the package to be recommended based on the distribution of the aspect ratio and the length-to-height ratio of the products under the length value.

[0090] In an optional implementation, the second determination module 303 determines the distribution of the product quantity ratio under the length value in different product aspect ratio intervals for each length value of the recommended package. Specifically, the number of products corresponding to the aspect ratio interval can 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 quantity ratio corresponding to the aspect ratio interval, and thus obtain the distribution of the product quantity ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product quantity ratio on the product aspect ratio, and then the width value of the package is determined according to the length value of the package and the aspect ratio value of the package.

[0091] Further, in this optional implementation, the second determination module 303 determines the distribution of the proportion of the number of products under the length value in different product length-to-height ratio intervals for each length value of the package to be recommended. Specifically, in each length-to-height ratio interval, the number of products corresponding to the length-to-height ratio interval can be counted, and then divided by the total number of all products under the length value, so as to obtain the proportion of the number of products corresponding to the length-to-height ratio interval, and thus obtain the distribution of the proportion of the number of products on the product length-to-height ratio. Afterwards, the length-to-height ratio value of the package is set according to the distribution of the proportion of the number of products on the product length-to-height ratio, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0092] In another optional implementation, the second determination module 303 determines the distribution of the product shipment ratio under the length value in different product aspect ratio intervals for each length value of the package to be recommended. Specifically, the product shipment corresponding to the length-to-width ratio interval can be counted in each aspect ratio interval, and then divided by the shipment of all products under the length value, so as to obtain the product shipment ratio corresponding to the length-to-width ratio interval, and thus obtain the distribution of the product shipment ratio on the product aspect ratio. Afterwards, the aspect ratio value of the package is set according to the distribution of the product shipment ratio on the product aspect ratio, and then the width value of the package is determined according to the previously determined package length value and the package aspect ratio value.

[0093] Further, in this optional implementation, the second determination module 303 determines the distribution of the proportion of product shipments under the length value in different product length-to-height ratio intervals for each length-to-height ratio interval. Specifically, in each length-to-height ratio interval, the product shipment corresponding to the length-to-height ratio interval can be counted, and then divided by the shipment of all products under the length value, so as to obtain the proportion of product shipments corresponding to the length-to-height ratio interval, thereby obtaining the proportion of product shipments corresponding to the length-to-height ratio interval, and thereby obtaining the distribution of the proportion of product shipments on the product length-to-height ratio. Afterwards, the length-to-height ratio value of the package is set according to the distribution of the proportion of product shipments on the product length-to-height ratio, and then the height value of the package is determined according to the previously determined length value of the package and the length-to-height ratio value of the package.

[0094] Considering the binding relationship between the length, width and height of the product, if the three dimensions are separated and analyzed separately, there may be a large deviation between the analysis result of the recommended packaging dimensions and the actual usage. For example, the recommended packaging dimensions obtained based on the dimension analysis may not meet the packaging requirements of flat and slender products, or there may still be a lot of waste in the packaging dimensions. In view of this, the embodiment of the present invention introduces the concept of dimension ratio, and in step S103, the packaging dimensions are determined by comprehensively considering the binding relationship of product dimensions. After determining the value of the packaging length, the distribution of the product in the aspect ratio and the length-to-height ratio is analyzed to determine the width and height values ​​of the packaging, so as to achieve the best packaging dimension utilization.

[0095] Optionally, the device of an embodiment of the present invention also includes a preprocessing module, which is used to sort the three side lengths of the products in order from large to small or from small to large before the first determination module determines the distribution of the products in length dimensions based on the basic data of the multiple products, and takes the longest side of the product as the length, the second longest side of the product as the width, and the shortest side of the product as the height.

[0096] Optionally, the device of the embodiment of the present invention also includes a conversion processing module, which is used to: for bagged products, use the sum of the length value and the height value of the recommended package as the bag length, and use the sum of the width value and the height value of the recommended package as the bag width.

[0097] Optionally, the device of the embodiment of the present invention further includes a product portrait module, which is used to determine the size portrait of the product based on the basic data of the multiple products.

[0098] In the embodiment of the present invention, the above device can achieve targeted recommendation of packaging size for different product size distributions, thereby improving the utilization rate of product packaging and reducing the waste of packaging space and materials.

[0099] Figure 4 An exemplary system architecture 400 is shown in which embodiments of the present invention may be applied.

[0100] like Figure 4 As shown, system architecture 400 may include terminal devices 401, 402, 403, network 404 and server 405 (just an example). Network 404 is used to provide a medium for communication links between terminal devices 401, 402, 403 and server 405. Network 404 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0101] The user can use the terminal devices 401, 402, 403 to interact with the server 405 through the network 404 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 401, 402, 403.

[0102] The terminal devices 401 , 402 , and 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0103] The server 405 may be a server that provides various services, such as a backend management server that provides support for shopping websites browsed by users using the terminal devices 401 , 402 , and 403 (only as an example).

[0104] It should be noted that the method for recommending product packaging size provided in the embodiment of the present invention is generally executed by the server 405 , and accordingly, the device for recommending product packaging size is generally set in the server 405 .

[0105] It should be understood that Figure 4 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0106] Reference below Figure 5 , which shows a schematic diagram of the structure of a computer system 500 of a terminal device suitable for implementing an embodiment of the present invention. Figure 5 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0107] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which 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 part 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the system 500 are also stored. The CPU 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0108] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that a computer program read therefrom is installed into the storage section 508 as needed.

[0109] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the central processing unit (CPU) 501, the above-mentioned functions defined in the system of the present invention are executed.

[0110] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0111] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0112] The modules involved in the embodiments of the present invention may be implemented in software or hardware. The modules described may also be set in a processor. For example, they may be described as follows: a processor includes an import module, a first encapsulation module, and a second encapsulation module. The names of these modules do not, in some cases, constitute a limitation on the modules themselves. For example, the import module may also be described as a "state management library interface import module."

[0113] As another aspect, the present invention further provides a computer-readable medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device includes: obtaining basic data of multiple products; determining the distribution of products in length dimensions based on the basic data of the multiple products; determining the length value of the package to be recommended according to the distribution of the product in length dimensions; for each length value of the package to be recommended, determining the distribution of the product in aspect ratio and length-to-height ratio under the length value; 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 in aspect ratio and length-to-height ratio under the length value.

[0114] According to the technical solution of the embodiment of the present invention, a method for recommending product packaging size is proposed, which overcomes the problem that the utilization rate of packaging materials and space in the prior art is very low, resulting in material waste, while there is still waste in packaging volume, leading to relatively low efficiency in storage and transportation, thereby achieving the technical effect of improving the utilization rate of product packaging and reducing the waste of packaging space and materials.

[0115] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for recommending product packaging size, characterized in that: The method comprises: Obtain basic data for a variety of products; Determine the distribution of the length dimensions of the products based on the basic data of the multiple products; determine the length value of the package to be recommended based on the distribution of the length dimensions of the products; For each length value of the package to be recommended, determine the distribution of the length-width ratio and the length-height ratio of the product under the length value; determine the width value and the height value of the package to be recommended according to the distribution of the length-width ratio and the length-height ratio of the product under the length value; Determining the distribution of products in length based on the basic data of the multiple products includes: Determine the distribution of product quantity proportions in different product length size intervals based on the basic data of the multiple products; or Determine the distribution of product shipment ratios in different product length size intervals based on the basic data of the multiple products; Determining the length value of the package to be recommended according to the distribution of the length dimension of the product includes: Determine the peak point of the product quantity ratio in the length size distribution, and determine the length value of the package to be recommended according to the product length size interval corresponding to the peak point; or, Determine the peak point of the product outbound volume ratio in the length size distribution, and determine the length value of the package to be recommended according to the product length size range corresponding to the peak point.

2. The method according to claim 1, characterized in that Determining the width value and the height value of the recommended package according to the distribution of the length-width ratio and the length-height ratio of the products under the length value includes: Determine the value of the length-to-width ratio of the package to be recommended according to the distribution of the product quantity ratio or the product shipment ratio under the length value in the aspect ratio, and determine the value of the width of the package to be recommended according to the value of the length-to-width ratio of the package to be recommended and the value of the length of the package to be recommended; and, The length-to-height ratio value of the package to be recommended is determined according to the distribution of the product quantity proportion or the product shipment proportion under the said length value in the length-to-height ratio, and the height value of the package to be recommended is determined according to the length-to-height ratio value and the length value of the package to be recommended.

3. The method according to claim 1, characterized in that Before determining the distribution of products in length based on the basic data of the plurality of products, the method further comprises: Sort the three sides of the product in order from large to small or from small to large, and take the longest side of the product as the length, the second longest side of the product as the width, and the shortest side of the product as the height.

4. The method according to claim 1, characterized in that: After determining the width value and the height value of the package to be recommended according to the distribution of the product in the aspect ratio and the aspect ratio under the length value, the method further includes: For bagged products, the sum of the length and height of the recommended package is taken as the bag length, and the sum of the width and height of the recommended package is taken as the bag width.

5. The method according to claim 1, characterized in that The method further comprises: A size profile of the product is determined based on the basic data of the multiple products.

6. A device for recommending product packaging size, characterized in that: The device comprises: Acquisition module, used to obtain basic data of various products; A first determination module is used to determine the distribution of the length dimensions of the products based on the basic data of the multiple products; and to determine the length value of the package to be recommended according to the distribution of the length dimensions of the products; The second determination module is used to determine the distribution of the length-width ratio and the length-height ratio of the products under each length value of the recommended package; the second determination module is also used to determine the width value and the height value of the recommended package according to the distribution of the length-width ratio and the length-height ratio of the products under the length value; The first determining module is further used for: Determine the distribution of product quantity proportions in different product length size intervals based on the basic data of the multiple products; or Determine the distribution of product shipment ratios in different product length size intervals based on the basic data of the multiple products; The first determining module is further used for: Determine the peak point of the product quantity ratio in the length size distribution, and determine the length value of the package to be recommended according to the product length size interval corresponding to the peak point; or, Determine the peak point of the product outbound volume ratio in the length size distribution, and determine the length value of the package to be recommended according to the product length size range corresponding to the peak point.

7. An electronic device, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

8. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

Images