Practical analysis on shelf-fill tracking, ONVIF camera analytics, planogram compliance, and loss prevention. Written by operators, for operators.
Camera analytics has moved from proof-of-concept to production across a growing slice of mid-market grocery and convenience. Here is what the deployments that stuck have in common.
Most pilots fail at the handoff from IT to operations. A candid look at where the friction lives and what makes the difference between a one-store experiment and a rollout.
Most shrink is decided at the shelf. By the time a security tag alarm fires at the exit, the calculus is already complete. What shelf-level camera intelligence changes about that equation.
Manual compliance audits happen once a quarter if you are lucky. Camera analytics can flag deviation the same shift it appears. The gap between those two timelines is the cost of drift.
ONVIF is the protocol that makes camera analytics possible without a rip-and-replace. A plain-language primer for operations managers before the first conversation with your security team.
The gap between an empty shelf and a restock alert should be measured in minutes. A walkthrough of the inference pipeline that turns a standard security feed into an operations signal.
The 08:00 floor walk catches less than half the gaps that are open by midday. These five locations are consistently under-checked by the human eye and consistently over-counted by camera analytics.
Manual audits are consistent at telling you what was wrong last Tuesday. Camera analytics tells you what is wrong right now. A side-by-side on coverage, latency, and labor cost.
Published out-of-stock rates undercount the real exposure because they are measured at the wrong moment. A closer look at how gap timing and category mix change the revenue math significantly.
Security tags protect individual items after they have already left the shelf position. Camera analytics identifies the behavioral and positioning patterns that precede a loss event earlier in the chain.
Category performance data ties planogram drift to revenue in ways that most store managers cannot see because the link crosses too many report boundaries. A framework for quantifying the exposure at the store level.
Point-in-time counts give you a snapshot, not a rate. The difference between a fill rate calculated at shift start versus averaged across trading hours is large enough to change restock scheduling entirely.
Retailers with ONVIF-compliant cameras installed in the last decade can run shelf analytics without purchasing new devices. What the standard actually enables, and the one question to ask your security integrator before a pilot.
Retailers have deployed millions of cameras. Almost none of that footage ever informs a restock decision or a compliance audit. A look at the structural reasons that gap persists and what it takes to close it.
