Infinia Retail - Store Analytics (IoT)

Problem

Gen-Z customer wants to have the same experience in-store as on e-Commerce. Accordingly for a retailer, it is important to collect similar analytics as e-Commerce shop also in-store. Data that can help retailers understand their customer better and eventually help them increase the basket size of the customer

Requirement

We have to develop a system to enable stores to track the number of customer visits to the store and different departments and correlate this to number of transactions in the store. This allows a retailer to track the conversion ratio (similar to the online stores) and also helps in managing store layouts and inventory.

Approach

We identified three components to the solution - footfall tracking, gender and age classification and customer heat maps across departments using thermal sensors. We decided to build a POC using Raspberry Pi, Web camera, Raspberry Pi 2 and Omron D6T Thermal Sensor as hardware and OpenCV, Python and mySQL as software components. The data is stored in a cloud database for analytics.