Intelligent clothing business system

Abstract

The invention relates to an intelligent clothing business system, which comprises an integrated data acquisition module, a purchase preference analysis module, a purchase preference storage module and a customer demand forecasting module. The integrated data acquisition module in communication with a POS (point-of-sale) system, a clothing try-on system and a customer database of a clothing retailer is used for respectively acquiring and storing POS historical purchase record, clothing try-on data and customer data, the purchase preference analysis module is used for analyzing the POS historical purchase record, the clothing try-on data and the customer data and generating customer purchase preference analysis results, the purchase preference storage module is used for building a database for storing the customer purchase preference analysis results, and the customer demand forecasting module is used for forecasting future or current customer demands. The clothing purchase preference of customers is systematically learnt and analyzed by making full use of the POS historical purchase record, the clothing try-on data and the customer data instead of relying on subjective evaluation and experience of the clothing retailer, the analysis results are more accurate, and competiveness of the clothing retailer in the clothing market is improved.

Description

technical field [0001] The invention relates to the clothing retail industry, more specifically, to an intelligent clothing business system. Background technique [0002] In today's apparel retail market, understanding customers' needs plays a vital role for apparel retailers to achieve commercial success. At present, the clothing business system on the market mainly involves POS (point-of-sales) system and CRM (customer relationship management, customer relationship management) system. These two systems can only store sales transaction records and provide preliminary analysis based on customer purchase history. However, the main deficiencies of existing POS systems or CRM systems are as follows. [0003] 1) The existing POS system used in industry can only collect the data of each point of sale, and the CRM system can only store the purchase record of each customer, without further planning for providing customer service, product recommendation and future customer demand...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide an intelligent clothing business system to effectively and scientifically analyze customer purchase preferences in view of the above-mentioned data dispersion of the existing clothing business system, the lack of consideration of try-on data and the subjective judgment of customer needs , predicting customer needs and personalized product recommendations

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