The system automatically detects buyers who need help and sends free store employees to it.
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"M.Video Eldorado" tests in stores management personnel and client service based on video analytics data, which are processed by a real-time neural network. The pilot project is carried out in the framework of the three working analytical scenarios: "Lonely Buyer", "Qass Qass" and "Thermal Store Map." Read more about this technology in our case video analytics "M.Video Eldorado": 30,000 cameras, one computer and neurosette.
The first working scenario for testing within the video analysis system was the help of buyers who stand for some time or move along the trading room alone. The IT solution allows you to quickly identify such clients and sends a notification to the store chat bot, after which the free consultant comes to the client and provides personalized assistance. The innovation contributes to an increase in the level of staff attentiveness and improving the quality of his work with visitors - the involvement of personnel has increased fivefold.
Neuralale also analyzes the number of visitors in the zone of issuing goods and cash desks. In case of exceeding the norm, the staff will receive a message and will take action to resolve the situation.
Another product created on the basis of neural networks was "thermal maps" for analyzing the trading space and sales management. The software solution is building a density distribution of the store's visitors to zones, which allows you to learn the behavioral models of buyers, evaluate the convenience of laying racks with different groups of goods and choose places for advertising materials.
"M.Video Eldorado" plans to conduct pilots in several stores - In the future, the decision can be ranked more than a thousand company stores with confirmed economic efficiency.
Earlier it was reported that the largest shareholder M.Video-Eldorado will sell a part of the share in Retail.
M.Video Eldorado company spoke about the financial results of 2020.
Retail.ru.