Clothes matching method and system based on intelligent mobile terminal

Abstract

The invention discloses a clothes matching method and system based on an intelligent mobile terminal. The system comprises the intelligent mobile terminal, a local server and a cloud server which are networked, wherein the intelligent mobile terminal is provided with clothes matching software, the local server is provided with a PLM system and a shop DRP system, the cloud server is provided with a clothes matching software background database and used for synchronizing data from the PLM system and the shop DRP system, and the cloud server is further internally provided with a background logical algorithm which is used for calculating clothes style features and customer dressing styles, making the clothes style features correspond to the customer dressing styles and matching clothes single items. The mode that people answer questions in the clothes matching software is used for testing and diagnosing personal dressing styles of customers, dressing style parameters of the costumers are made to correspond to the clothes style feature data, so shop assistants can intelligently select proper clothes for the customers and match the clothes, the high professional requirement of shopping guides in clothes brand stores is greatly reduced, and the system obviously simplifies the work procedure of the stores.

Description

technical field [0001] The invention relates to the field of methods for clothing brand stores to recommend, fit and dress up to customers, and in particular to a clothing matching method based on an intelligent mobile terminal. Background technique [0002] Most of the existing shopping guides of clothing brands recommend clothing to customers. Most of them directly recommend some best-selling clothing or the most recommended clothing to customers, or completely cater to the preferences of customers. The unique style features provide a professional fitting solution in a targeted manner. [0003] On the other hand, due to the uneven professional level of shopping guides in clothing brand stores, it is difficult for every shopping guide to recommend clothing to customers professionally. In addition, the turnover of shopping guides is also very high. It is also difficult to solve this problem. And some clothing brands simply choose to hire professional image consultants to c...

AI Technical Summary

Problems solved by technology

[0002] Most of the existing shopping guides of clothing brands recommend clothing to customers. Most of them directly recommend some best-selling clothing or the most recommended clothing to customers, or completely cater to the preferences of customers. The style characteristics are targeted to give a professional assembly plan

[0003] On the other hand, due to the uneven professional level of shopping guides in clothing brand stores, it is difficult for every shopping guide to recommend clothing to customers professionally. In addition, the turnover of shopping guides is also very high. It is also difficult to solve this problem

And some clothing brands simply choose to hire professional image consultants to complete this work, but the coverage is small and the area is relatively limited. It is very difficult for the clerks in each store to accurately fit customers.

[0004] Therefore, the existing technology still needs to be improved and developed