The use of video analytics in retail allows you to find out regular customers who can make personal offers, increasing customer loyalty to the network.
The system does not need to interact with a person to recognize it correctly. The collection of statistics takes place remotely, takes little time and does not touch the personal data of a person.
When a VIP client appears, the facial recognition system, identifying the customer, compares it with the database and notifies the store staff that there is a guest in the store who needs special service and the provision of appropriate privileges.
Determining the composition of visitors by gender and age, the administration and the marketing service can analyze which of them prefers to buy in the morning, who in the evening, and who comes only on weekends.
The use of recognition systems will help, for example, to enter “happy hours” for different categories of visitors or automatically provide a discount on products when a person is at the checkout. The confirmation process is instant. The system itself recognizes a person, while SMS verification takes time and does not always work regularly.
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