The use of video analytics in retail makes it possible to recognize regular customers and provide them with personalized offers, enhancing their loyalty to the brand, increasing customer loyalty to the network.
The system does not require direct interaction with a person to accurately recognize them. Statistics are collected remotely, quickly, and without processing any personal data.
When a VIP customer is detected, the facial recognition system matches them with the database and notifies store staff that a guest requiring special treatment and privileges has entered the store.
By analyzing visitor demographics such as gender and age, administrators and marketers can determine who prefers shopping in the morning, in the evening, or only on weekends.
Recognition systems can, for example, be used to introduce 'happy hours” for different categories of visitors or automatically provide a discount on products when a person is at the checkout. The confirmation is instant — the system recognizes the person automatically, whereas SMS verification is slower and may fail to work reliably.
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