Paris-based AI startup Veesion is bringing a new twist to retail security, using gesture recognition algorithms to detect suspicious movements before theft occurs. Instead of relying on facial recognition or physical characteristics, the company’s technology focuses purely on how people move.

“The algorithm doesn’t care about what people look like. It just cares about how your body parts move over time,” said cofounder Benoît Koenig in an interview with Business Insider.

How Veesion Works

Veesion’s system integrates directly with a store’s existing security cameras. It detects people in the frame, analyzes their movements, and identifies objects like merchandise, carts, baskets, or bags. If a gesture signals possible concealment or theft, the AI sends a short video clip to store security, who can then respond in real time.

One U.S. retailer reportedly cut losses in its health and beauty section by 50% in the first three months of using Veesion. Koenig says more than 85% of alerts are marked as relevant by store operators.

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Impact on Retail Shrink and Customer Experience

Retail “shrink” — the industry term for inventory loss — costs retailers billions each year. While mentions of shrink on earnings calls have dropped, according to AlphaSense data, the problem remains significant.

Traditional countermeasures, like locking up products, often backfire, hurting sales and customer satisfaction. Veesion’s approach aims to keep the shopping experience smooth while adding a subtle deterrent effect.

“It has an internal deterrent effect,” Koenig explained. “They know there is an AI in the cameras, so they’re going to be careful with what they do.”

Funding and Global Expansion

Founded in 2018, Veesion now operates in over 5,000 stores across Europe, Canada, and the U.S. The company recently closed a €53 million ($43 million) Series B round (EU-Startups), fueling further U.S. market penetration.

Koenig noted that his personal connection to retail — his uncle runs three supermarkets in Paris — gave him insight into the day-to-day challenges of theft prevention.

Beyond Shoplifting: Future Use Cases

While theft prevention is the primary focus, Veesion is exploring additional use cases, including detecting improper self-checkout scans and even identifying slip-and-fall incidents. The goal is to create a versatile AI tool for in-store risk management.

“This is much more than just recovering a few bucks,” Koenig said. “You’re going to arrest shoplifters, recover inventory, and save money.”