Intelligent multi-dimensional store matching system

Abstract

The invention discloses an intelligent multi-dimensional store matching system, and relates to the technical field of store matching. The system comprises a home decoration building material industry standard classification library mechanism and a store intelligent dynamic matching preference control strategy mechanism. The home decoration building material industry standard classification library mechanism comprises a home decoration building material industry standard classification library, a store product and quality dimension library and a user evaluation system dimension library; the store intelligent dynamic matching preference control strategy mechanism relates to interaction between a dynamic preference store strategy matching module and a home decoration building material industry standard classification library, a store product and quality dimension library and a user evaluation system dimension library, and the user evaluation system dimension library matches stores providing related products and services. According to the invention, accurate and efficient matching between the purchase demand and the store is realized, the store can be accurately matched within a short time according to the system, and purchase can be completed within two days, so that the efficiency is greatly improved, and the user energy is saved.

Description

technical field [0001] The invention belongs to the technical field of store matching, and in particular relates to an intelligent multi-dimensional store matching system. Background technique [0002] At present, the common purchase of home furnishing and home decoration building materials in the market mainly relies on users to visit stores offline, that is, users who are interested in decoration can get a general understanding of relevant store information through introductions to relatives and friends, and through word of mouth among colleagues. Through field visits. Or obtain some store information through simple advertisements or searches, select nearby home furnishing and home improvement building materials stores through manual screening, and visit again to finally form the purchase of home improvement building materials. This kind of matching between the user's demand for decoration and building materials and the store's business information can only reach a very e...

AI Technical Summary

Problems solved by technology

This kind of matching between the user's demand for decoration and building materials and the store's business information can only reach a very elementary level, and there is a limitation that the matching between user needs and the store is not detailed and accurate.

[0003] Judging from the purchase needs of home decoration and building materials in the past and the actual purchases of users in stores, users cannot understand the business scope of stores in advance, and cannot sort out their own building materials procurement needs. The store's business categories and product features cannot be known in advance. You can only see the real thing after on-site inspection, which may not match your own needs, and you will visit multiple stores offline, which is very time-consuming and energy-consuming. You may not find what you want to buy when you go to an offline store, and the existing home improvement materials are not enough. Meet the needs of users

In addition, there are many types of home improvement building materials, material styles, and categories. Users do not have good pre-knowledge. When choosing the corresponding store, they can only visit offline. In the end, they may find that it is not the material that the user wants or Variety style

[0004] In addition, for home furnishing stores, they cannot directly reach consumers, and cannot convey the store's characteristics, products, and salient points to users. Home furnishing stores cannot classify and display products in a systematic manner. Let users see, so that users can view the products they need according to various conditions such as category, brand, size, style, etc., which leads to a mismatch between the needs of users and the products and services provided by home improvement and building materials stores. , That is to say, the user cannot choose the necessary building materials for the corresponding store purchase, and the store cannot provide the special products and services of the store to the corresponding customers in a timely manner, resulting in low efficiency and a bad experience for both the user and the store.

Images