Store cameras generate hours of footage. Turning it into a dataset that connects physical customer behavior to store layout and marketing decisions requires humans who understand retail, not just object detection.
Human behavior annotation for smart retail analytics and experiential digital signage.
Brick-and-mortar retailers use in-store camera analytics to optimize layout, staffing, and digital signage placement — but the AI models behind that analysis need to be trained on labeled footage of real customer behavior first.
We review multi-camera store footage and map the interactions that actually matter to a retail strategist: where people go, what makes them stop, and what makes them walk away.
This work directly connects physical customer behavior to digital marketing decisions — the exact intersection an agency already lives in. Retailers don't want a computer-vision vendor who only knows bounding boxes; they want annotation informed by an understanding of merchandising, signage, and what actually drives a purchase decision.