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Method, device and system for predicting sales volume and medium

A technology of sales volume and attribute value, applied in the Internet field, can solve problems such as inability to dig deep into the impact of commodity sales, difficulty in digging out consumer goods, etc., and achieve the effect of high market potential and accurate prediction.

Pending Publication Date: 2019-07-26
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the concept of the present invention, the inventor found that there are at least the following problems in the prior art: the method for predicting the future sales volume of commodities in the prior art can only analyze the empirical prediction based on the historical purchase data of various commodities at a shallow level In the future, it is impossible to deeply explore the impact of various attributes of commodities (such as color, taste, brand, and net weight, etc.) or combinations of attributes on sales, making it difficult to dig out consumer products with high potential

Method used

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  • Method, device and system for predicting sales volume and medium
  • Method, device and system for predicting sales volume and medium
  • Method, device and system for predicting sales volume and medium

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Embodiment Construction

[0030] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.

[0031] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[0032] All terms (including technical and scientific terms) used herein have the meaning commonly understood by one of ordinary skill in the art, unless otherw...

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Abstract

The invention provides a method for predicting commodity sales. The method comprises the steps of acquiring at least one attribute value of each minimum sales unit SKU of specific types of commodities, wherein the attribute values of all the SKUs can be combined in any mode to obtain at least one attribute value set; determining a frequent attribute value set in the specific type of commodities; wherein each frequent attribute value set is an attribute value set of which the occurrence frequency is greater than or equal to the minimum support degree in the historical sales volume of the specific type of commodities; wherein the occurrence frequency of each attribute value set is the proportion of the sum of the historical sales volumes of all SKUs containing the attribute value set in thehistorical sales volume of the specific type of commodities; and predicting the sales volume of the SKU containing the frequent attribute value set. The embodiment of the invention further provides adevice, a system and a medium for predicting the commodity sales volume.

Description

technical field [0001] The present disclosure relates to the field of Internet technology, and more specifically, to a method, device, system and medium for predicting sales. Background technique [0002] Enterprises usually need to predict the future sales of commodities based on the historical sales of various commodities, so as to guide future sales strategies, stocking plans, or new product design. At present, it is common to count the sales and profits of various commodities within a certain period of time (for example, one year), and distinguish best-selling products from slow-moving products according to the sales and profitability of various commodities, so as to predict future market trends. [0003] In the process of realizing the concept of the present invention, the inventor found that there are at least the following problems in the prior art: the method for predicting the future sales of commodities in the prior art can only analyze the empirical prediction bas...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06N20/00
CPCG06Q30/0202G06N20/00
Inventor 裘实李刚李聚信蒋佳涛
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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