Shop sales data analysis method and device, electronic equipment and storage medium

Abstract

The invention provides a shop sales data analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a first designated region image, and carrying out the face detection of the first designated region image, and obtaining first face statistical data; acquiring a second specified area image, and performing face detection on the second specified area image to obtain second face statistical data; acquiring a third specified area image, and performing face detection on the third specified area image to obtain third face statistical data; obtaining a fourth designated area image, and performing face detection on the fourth designated area image to obtain fourth face statistical data, the fourth designated area being located in a cashier area of the shop; and performing sales analysis on the shop according to the first face statistical data, the second face statistical data, the third face statistical data and the fourth face statistical data. The method and device can help a shop to reduce the trial and error cost in the purchase process.

Description

technical field [0001] The invention relates to the field of artificial intelligence processing, in particular to a store sales data analysis method, device, electronic equipment and storage medium. Background technique [0002] With the rapid development of information technology, artificial intelligence applications have been gradually integrated into the lives of the public. In particular, face recognition applications are widely used not only in the payment field, but also in other fields, such as smart stores and smart supermarkets. With the rapid development of the current mobile Internet, online shopping has become the mainstream of the current world. Offline physical stores are struggling and are facing severe challenges to survival. They are very cautious and dare not make decisions lightly. Moreover, in the absence of a stable source of customers and word-of-mouth during the start-up stage of the store, due to the diversity of new customers and the subjectivity of...

AI Technical Summary

Problems solved by technology

With the rapid development of the current mobile Internet, online shopping has become the mainstream of the current world. Offline physical stores are struggling and are facing severe challenges to survival. They are very cautious and dare not make decisions lightly. Moreover, in the absence of a stable source of customers and word-of-mouth during the start-up stage of the store, due to the diversity of new customers and the subjectivity of customers and store employees, many Most of the employees of offline stores are struggling in terms of drainage and promotion. There are few sales data for reference, and it is difficult to purchase goods that meet customers' purchase expectations. The cost of trial and error for multiple purchases is high. have announced the closure

Therefore, in the start-up phase of existing stores, due to imperfect data in various aspects, there are few sales data for reference, and the cost of trial and error is high, resulting in poor sales results of the stores.

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