Problem

Traditional loyalty programs have become less efficient, and retailers are looking for new tools to personalize their offerings and drive sales. In contrast to online retail, customer behaviour trends and preferences are often not recorded or used; the salesperson does not see the history of purchases and cannot immediately make the most appropriate offer to the customer.

Solution

A recommendation system based on video analytics allows you to "recognize the customer by sight", understand their purchase history, offer the most suitable and relevant goods, and serve them based on preferences. The solution integrates with the loyalty program and allows customers to build sophisticated AI-based interaction models.

Result:

• 5–15% sales growth.
• The average check increased by 10–20% due to upscale.
• NPS increased by 7% or more.

Implementation stages

PROJECT

Solution demonstration, discussion of possible use cases (1 day)

SCENARIO

Feasibility study based on the discovered customer issues (1 to 3 days)

PILOT PROJECT

Pilot implementation of the solution (1 to 3 months)

Scaling

Scaling