Webinar
How NYC Retailers Are Using AI to Fight Theft
Retail theft today is rarely a dramatic “grab & go” incident. In many grocery, convenience, and gas stores, losses come from small, discreet behaviors that repeat over time and quietly accumulate.
In our latest webinar, Nicholas Yambo, AI Loss Prevention Expert, and Hajar, from the Veesion team, break down what real-world data from more than 100 stores in New York City reveals about modern shoplifting patterns. From repeat visitors to subtle concealment gestures, they explore why theft is often predictable — and how retailers can detect it earlier.
Click below to access the free webinar replay and discover how AI-powered gesture detection can turn your existing cameras into an early warning system, helping your store teams spot suspicious behavior sooner and interrupt repeat theft before losses accumulate.
What You’ll Learn
In this session, Nicholas Yambo (AI Loss Prevention Expert) and Hajar from the Veesion team share real-world data and insights from grocery, convenience, and gas stores to explain how modern shoplifting actually happens — and how retailers are responding.
You’ll discover how AI-powered gesture detection can help:
- Detect suspicious behavior earlier by turning existing CCTV cameras into an early warning system
- Give store teams daily visibility into discreet theft patterns and repeat offenders
- Interrupt recurring shoplifting before small incidents accumulate into significant losses
What We Cover in the Webinar
- What data from 100+ NYC stores reveals about modern shoplifting patterns
- Why most theft today is discreet, repeated behavior — not “grab & go” incidents
- The accumulation effect: how small incidents quietly add up over time
- Why repeat visitors drive a large share of store losses
- How retailers are using AI to detect suspicious gestures and intervene earlier
Watch the replay to see how retailers are turning their existing cameras into a daily visibility tool to reduce shoplifting and protect margins.
