Discover how AI is transforming theft prevention, store operations, and profitability in gas stations and convenience stores. In this episode of Beyond the Pump, Beatrice speaks with JinnLabs co-founder Harjeev Anand about JinnOS, an AI-powered store management platform designed to reduce shrinkage, detect theft in real time, improve inventory accuracy, and unlock data-driven insights for retailers.

Learn how multi-camera AI agents monitor transactions, recognize suspicious behavior, support store staff, and give owners the visibility they’ve never had before. Harjeev also shares how JinnLabs is helping c-stores adapt to California's evolving compliance requirements, improve customer experience, and prepare for the next wave of digital transformation in retail.

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Learn more about AI theft prevention and store-management tools at JinnLabs.ai.

Takeaways

• AI-driven shrink reduction is becoming essential for c-store and gas station operators.
• Multi-agent AI can track customer behavior, identify concealment, and detect employee theft.
• Data from cameras, POS, and inventory can now feed a unified AI store manager.
• Inventory automation tools will drastically reduce costs and waste.
• AI improves employee productivity, customer experience, and operational efficiency.
• California privacy laws require anonymized facial mapping, not facial recognition.