Retail cameras record. Agentic AI makes them act
Turning Cameras Into Coworkers: what loss prevention teams are seeing once AI agents run on the cameras they already own. Drawn from real deployments across retail, convenience and EV charging networks.
Key findings
About $20,000 in estimated savings per deterred incident, per store. From a $5 billion retailer’s deployment.
80% of incidents deterred with zero human intervention. One of the largest U.S. EV charging networks, from a 10-site pilot to roughly 120 protected sites.
Agents go live on existing cameras in under 30 minutes. No rip-and-replace.
Employee cash theft, finally quantified. One customer’s actual loss ran well above their own prior estimate.
What you'll learn
Where legacy video stops
Detect and notify is the end of the line for most systems. The report walks the full chain instead: detect the moment, deter it in real time with an on-site talkdown that escalates from informational to direct, then build the case automatically.
The six agents retailers deploy first
Parking lots and property safety, employee cash theft, register and line monitoring, POS and transaction fraud, store audits and checklists, plus merchandising and conversion.
What shows up beyond loss prevention
A 200-person offshore monitoring team moved onto an inbox of high-value incidents, a regional manager who stopped touring stores to check compliance, plus Iris answering questions across a whole territory rather than one camera at a time.
“We’ve reduced incidents by 80%, without any kind of human monitoring.”
Jeremy N., Sr. Manager of Operations & Maintenance
Inside the report: the detect → deter → document model, the six retail agents and results from the field
Turning the cameras you already have into a team of coworkers
Spot AI runs a free, educational workshop for retail teams, not a sales pitch. It covers what is happening across agentic AI and works through the concerns your frontline and leadership teams will raise. It then works with your team to build internal use cases and ROI models for AI adoption.
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