Method for monitoring attention degree classification of clothes in retail market

Abstract

The invention discloses a method for monitoring attention degree classification of clothes and trousers in a retail market. The method mainly comprises the following steps: an RFID signal transceiving antenna and RFID readers are arranged in a display rack and a fitting room; the RFID readers in the display rack and the fitting room are in signal connection with a data analysis system, a POS system in a sales field is in signal connection with the data analysis system; data information of the clothes and the trousers which are taken from the display rack by a customer for viewing, the data information of the clothes and the trousers which are fitted on by the customer in the fitting room, and the data information of the clothes and trousers which are sold out are displayed on the data analysis system under the action of an RFID device and the POS system; and the attention degree classification of the clothes and the trousers in the retail market is obtained by analyzing the three aspects of data. The method facilitates fast information acquisition, can help rapidly make a judgment on marketable conditions of new products in the market even though the customer does not buy the clothes and the trousers and a decision maker does not acquire the final sales data, thus bringing benefits for decision-making production of enterprises.

Description

Technical field: [0001] The present invention relates to a monitoring method, more specifically, relates to a method for monitoring (received) degree of attention of clothing and trousers in the retail market. Background technique: [0002] For the clothing industry, it is very important for clothing enterprises to consider the popularity of clothing before putting into production. Once the clothing does not meet the public's vision, it will lead to a large amount of inventory. Even if the gross profit of clothing products is high, it will also bring enterprises a certain degree of loss. However, if the products that are marketable in the current season can be produced more accurately, then the inventory can be greatly reduced and the operating profit of the enterprise can be effectively improved. Therefore, how to choose the marketable products of the season is the concern of many people in the clothing industry. [0003] Because the production of clothing needs a certain...

AI Technical Summary

Problems solved by technology

In this way, the analysis of sales data is somewhat lagging behind and there is a lack of understanding of some key intermediate data, such as which colors, styles, and fabrics of clothes and pants are more concerned, and which clothes are not available when customers are satisfied with their colors, styles, and fabrics. Satisfied with its detailed design and style, and which garments are not satisfied with the specifications, size, shape, etc. of the clothing when the customer is satisfied with its color, style, fabric, detailed design and style.

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