Leveraging on big data, businesses in the retail sector can increase their customer-centricity; by measuring customer engagement, footfall, dwell time, age and gender, businesses can gain data-driven insights into various metrics such as sales conversion rate and reveal the underlying relationship between sales, marketing, and in-store traffic. Such insights help to make sense of the reasons some retail stores outperform others and provide a valuable means of optimising marketing, product display and sales strategies. Understanding footfall data and queue times can also help to optimise staff allocation to avoid over or understaffing and enhance the overall customer experience (CX).
This solution is a plug-and-play cloud-based solution for retail analytics through human behaviour analysis. The platform works with any Internet Protocol (IP) enabled camera that supports Real-time Streaming Protocol (RTSP) and is able to perform footfall counting, dwell time measurement, and engagement count on video footage that are sent over the Internet to the cloud-based platform, this allows it to readily provide an additional layer of intelligence on existing camera infrastructure and scales to the requirements of the deployment. It provides visualisation over a web dashboard, as downloadable executive reports, or through Application Programming Interfaces (APIs) to enable actionable business intelligence insights.
Time and Emotion-based Human Behaviour Analytics:
Visualisations are presented in the form of an overlayed heat map which indicate the amount of time the customers are spending at different parts of the store - warmer colors refer to places where people linger and the cooler colored areas are the places where customers spend the least time at. Expected video resolution between 360p to 1080p (ideal), optimal operating distance between 15-20 metres, configurable via camera zoom (if available).
This technology can be deployed to understand shopper in various use-cases to :
Additionally, it enables the following applications:
The technology owner is keen to out-license to retail stores, shopping mall owners, venue owners, event and exhibition organisers or collaborate with deep technology companies to test-bed, co-develop new products/services.