Article selection method, article selection system and electronic equipment

Abstract

The invention provides a goods selection method, a goods selection system and electronic equipment. The goods selection method comprises the following steps: determining the number of distributable goods corresponding to each category in preset categories according to shelf resources; the selectable commodities in each category are associated with corresponding commodity identifiers; the commodity identifier comprises at least one of a potential new product, a commodity which must be covered, a differentiated demand commodity and a commodity without a special identifier; determining the commodity expressive force of each selectable commodity according to a preset evaluation index, and obtaining the commodity expressive force ranking of the selectable commodities; and according to a preset priority order of the commodity identifiers, determining the shelf commodities of each category from the commodity expressive ranking according to a descending order of the priorities until the number of the selected shelf commodities reaches the number of distributable commodities corresponding to the category, and obtaining a shelf commodity list, thereby analyzing consumer demands through richer dimensions, and improving consumer experience. The unified management operation of the headquarters is met, the differentiated category requirements of the stores are reflected, and the optimal selection of the commodities is realized.

Description

technical field [0001] The invention relates to the technical field of intelligent product selection, in particular to a product selection method, a product selection system and electronic equipment. Background technique [0002] There are many options for offline supermarkets, but the display space is limited. How to choose the right products to put on the shelves is the most important thing for offline supermarkets to affect sales. However, the product evaluation system of traditional supermarkets is single, such as only sales and profits, and does not pay attention to user feedback (repurchase, penetration and other indicators), resulting in many potential high-quality products (high repurchase) that cannot be discovered or are too inefficient and out of touch with consumers. . [0003] At the same time, usually a supermarket has many stores. If one selection list is used by all stores, it cannot meet the different needs of consumers around different stores. If the power...

AI Technical Summary

Problems solved by technology

[0002] There are many optional products in offline supermarkets, but the display space is limited. How to choose the right products to put on the shelves is the most important thing for offline supermarkets to affect sales.

However, the product evaluation system of traditional supermarkets is single, such as only sales and profits, and does not pay attention to user feedback (repurchase, penetration and other indicators), resulting in many potential high-quality products (high repurchase) that cannot be discovered or are too inefficient and out of touch with consumers.

[0003] At the same time, usually a supermarket has many stores. If one selection list is used by all stores, it cannot meet the different needs of consumers around different stores. If the power is delegated to the stores, it is easy for each store to have its own style, and it is difficult to achieve a unified category. Strategic objectives

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