Retail Analytics, Video Analytics, and AI CCTV FAQs

Intelense builds AI-powered intelligence products that convert video, sensor, and operational data into real-time dashboards, alerts, and business insights.

KenVision is the Intelense AI video intelligence product for camera-based analytics, including retail footfall, dwell time, heatmaps, queues, alerts, and operational dashboards.

Yes. Intelense works with your existing cameras and recording systems. No hardware replacement needed just connect and go.

Retail analytics is the process of analyzing in-store behavior such as footfall, dwell time, customer movement, queues, and conversion signals to improve store performance.

Video analytics for retail uses AI computer vision to interpret camera footage and convert it into metrics, alerts, and dashboards for store teams.

Yes. Intelense supports edge and hybrid deployments so video can be processed close to the camera feeds when privacy, latency, or bandwidth matters.

Intelense retail analytics focuses on operational behavior metrics, not identifying individual shoppers. Deployments can be configured without facial recognition.

You can book a demo through the Intelense contact page and share your use case, number of sites, camera setup, and priority KPIs.