At the centre of the discussion was Centroid 48™, our latest AI analytics engine designed to unlock full-store visibility using existing CCTV infrastructure turning existing CCTV feeds into structured, actionable behavioural data. For large-format retailers, shopping malls, and supermarkets, this represents a step-change in how operations, customer journeys, and staff performance are measured.
Until now, full-store analytics was difficult to justify. The coverage was limited. The infrastructure fragmented. And the data incomplete. But that’s changed.
Centroid 48™ processes up to 48 camera streams from a single unit—unlocking zone-by-zone visibility across entire store floors, food halls, and department aisles. This wasn’t just a technology demo—it was a strategic discussion on how retailers can now observe, quantify, and optimise the invisible:
- What actually happens inside your store?
- Which decisions led to higher conversion or lost sales?
- How do top-performing teams operate differently?
We also introduced the concept of behavioural modelling: the ability to simulate layout shifts, campaign placements, or operational changes-and project their likely outcomes using historical patterns and AI inference. This unlocks a new level of decision-making precision.
Who is this for?
We explored key use cases across store formats:
- Hardware stores: Understanding shelf engagement, stockroom time, and team productivity.
- Department stores: Mapping shopper journeys, staff interactions, and concession zone performance.
- Convenience stores: Identifying queue bottlenecks, staff visibility during night shifts, and service consistency.
- Luxury retail: Visualising linger time, display engagement, and personalised service opportunities.
Why now?
Early adopters are already building smarter AI models—because their systems are learning from more data, faster.
The sooner you start, the more historical insight you gain.
Delay, and you’ll be left playing catch-up—less data, less accuracy, fewer strategic levers.
This is a compounding advantage. The sooner, the smarter.
Watch the full recording and download the slides here:
👉 View Workshop Video: FootfallCam Webinar – Large Format Stores Using Centroid-48™
👉 Download Slides: Solution Workshop: Large Format Stores Using Centroid-48™
Takeaway:
- In-store behaviour has long been invisible. It’s no longer acceptable to operate blind.
- Retailers who invest in behavioural data today aren’t just optimising operations—they’re building a competitive edge that compounds over time.
- New Business Model tailored for large format store – SAAS model
#retailtech #storeanalytics #cctv #aimonitoring #footfallcam #retailexcellence #storeoptimisation #smartretail #behaviouraldata #saas
