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Commodity sales condition statistical method and device, equipment and storage medium

A technology of sales and sales statistics, applied in the field of data statistics, can solve the problems of inapplicable unmanned retail scenarios, unable to truly reflect the sales of goods, etc., to achieve the effect of improving the accuracy of statistics

Pending Publication Date: 2021-07-30
杭州白秋科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The main purpose of this application is to provide a method, device, equipment, and storage medium for the statistics of commodity sales, so as to solve the problem of ranking commodities according to the total sales volume in related technologies, which is not suitable for unmanned retail scenarios, and cannot The problem of truly reflecting the sales of goods in unmanned retail scenarios

Method used

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  • Commodity sales condition statistical method and device, equipment and storage medium
  • Commodity sales condition statistical method and device, equipment and storage medium
  • Commodity sales condition statistical method and device, equipment and storage medium

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Embodiment Construction

[0046] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0047] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for th...

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Abstract

The invention discloses a commodity sales condition statistical method and device, equipment and a storage medium. The method comprises the steps of obtaining historical order data and inventory information of a target commodity; performing statistical processing on the historical order data and the inventory information according to preset statistical parameters to obtain sales statistical data; according to the sales statistical data, calculating the unit display coefficient; and determining the sales condition of the target commodity in the statistical period according to the unit display coefficient in each statistical time period. According to the method and the device, the sales condition of the target commodity in each statistical time period of the statistical period is represented through the unit display coefficient, so that replenishment personnel can grasp the sales condition of the target commodity in detail, the replenishment personnel can be assisted to arrange replenishment time, display quantity and the like more reasonably, and the statistical accuracy of the sales condition of the target commodity is improved. The problem that the commodity sales condition in the unmanned retail scene cannot be truly reflected when the commodities are subjected to hot sales ranking according to the total sales volume in the related technology is solved.

Description

technical field [0001] The present application relates to the technical field of data statistics, in particular, to a method, device, equipment and storage medium for the statistics of commodity sales. Background technique [0002] With the development of the Internet of Things, there are currently many offline unmanned retail stores on the market. In order to count consumers' preferences for products, there is no shortage of product sales rankings on the market. [0003] Usually, this kind of commodity sales ranking is based on summarizing the total sales volume of different commodities within a fixed unit time, and then ranking according to the total sales volume. However, this type of ranking method has certain limitations, that is, its Using this type of ranking method assumes an infinite inventory of items. [0004] For offline unmanned retail scenarios, the general area is 1 to 10 square meters, and the replenishment cycle is once a day. In this scenario, the salable...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201
Inventor 蔡维格陈权曾锐文
Owner 杭州白秋科技有限公司
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