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Goods combination method and device and electronic equipment

A combination method and technology of goods, applied in the computer field, can solve the problems of slow update, poor accuracy, unstable manual selection experience, etc., and achieve the effect of easy quantification and intuitive judgment

Pending Publication Date: 2021-12-10
唯品会(广州)软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to the huge variety of products, manual assembly is extremely time-consuming and costly, and manual assembly relies heavily on personal experience. Manual product selection experience is unstable when product assembly is performed. In addition, manual assembly is usually only scheduled based on historical sales data. , it is impossible to accurately judge the difference between goods and time, the flexibility and accuracy of grouping are poor, the update is slow, and the selection and operation of grouping cannot be quantified

Method used

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  • Goods combination method and device and electronic equipment
  • Goods combination method and device and electronic equipment
  • Goods combination method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Embodiment 1: This embodiment provides a cargo combination method, refer to figure 1 As shown, the method includes:

[0050] S1. Receive a goods assembly request, where the goods assembly request at least includes the business type and commodity information in the current commodity combination.

[0051] Different business types have different needs for commodities. Exemplarily, the business type includes a daily special session type and a big promotion special session type, the daily special session type is more focused on key brands, and the big promotion special session type is more focused on slow-moving commodities. Different business types also correspond to different sales plan dimensions. For example, the sales plan dimensions include product sales strategy, schedule exposure strategy, price exposure strategy, seasonal characteristics, and regional preferences.

[0052] refer to figure 2 As shown, the product information in the current product combination inc...

Embodiment 2

[0100] Embodiment 2: This embodiment provides a cargo combination device, refer to image 3 As shown, the device includes:

[0101] The receiving module 21 is configured to receive a goods grouping request, the goods grouping request at least includes the business type and commodity information in the current commodity combination;

[0102] A selection module 22, configured to select a target model from preset model combinations based on business type;

[0103] The first obtaining module 23 is used to obtain the scoring value of each target model based on commodity information;

[0104] The second acquisition module 24 is used to calculate the target score based on the scoring value and the preset weight corresponding to the business type;

[0105] Judging module 25, configured to judge whether the current commodity combination is qualified based on the target score and the preset threshold.

[0106] In a preferred embodiment, the device also includes:

[0107] The constru...

Embodiment 3

[0128] Embodiment 3: This embodiment provides an electronic device, including:

[0129] one or more processors; and

[0130] A memory associated with the one or more processors, the memory is used to store program instructions, and when the program instructions are read and executed by the one or more processors, execute the cargo combination method disclosed in the above embodiments .

[0131] in, Figure 4 The architecture of the computer system is exemplarily shown, which may specifically include a processor 410 , a video display adapter 411 , a disk drive 412 , an input / output interface 413 , a network interface 414 , and a memory 420 . The processor 410 , video display adapter 411 , disk drive 412 , input / output interface 413 , network interface 414 , and the memory 420 can be connected by communication bus 430 .

[0132] Wherein, the processor 410 may be implemented by a general-purpose CPU (Central Processing Unit, central processing unit), a microprocessor, an appli...

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PUM

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Abstract

The invention discloses a goods combination method and device and electronic equipment, and the method comprises the steps: receiving a goods combination request which at least comprises a business type and goods information in a current goods combination; selecting a target model from a preset model combination based on the business type; obtaining a score value of each target model based on the commodity information; calculating a target score based on the score value and a preset weight corresponding to the service type; judging whether the current commodity combination is qualified or not based on the target score and a preset threshold value; and according to demands of different business types, selecting target models of different dimensions to score commodities in a current commodity combination, and then according to preset weights corresponding to the business types, calculating a target score integrating scores of all the models to judge whether the current commodity combination is qualified or not. The standard of the commodity combination is more flexibly and efficiently judged according to the requirements of the business types, and the judgment on whether the commodity combination is standard or not according to the score is more intuitive and convenient to quantify.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a cargo combination method, device and electronic equipment. Background technique [0002] In commodity sales, it often occurs that commodities need to be sold in combination. The traditional method of combining products is to manually propose the dimensions of product grouping according to different time periods, and manually complete the grouping and naming of the full amount of goods according to the product information numbers of the products. [0003] However, due to the huge variety of products, manual assembly is extremely time-consuming and costly, and manual assembly relies heavily on personal experience. Manual product selection experience is unstable when product assembly is performed. In addition, manual assembly is usually only scheduled based on historical sales data. , it is impossible to accurately judge the difference between goods and time, the flexibility an...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/06
CPCG06Q10/0639G06Q30/0631Y02P90/30
Inventor 薛进葛生根
Owner 唯品会(广州)软件有限公司
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