A photograph of a supermarket shelf looks ordinary. ParallelDots turns it into a list of things a brand can fix - and built its business by learning which problems were worth seeing.
A young retail software company is betting that the smartest place for store AI is not always the cloud. Its argument begins with a shelf photo, eight microservices, and one stubborn question: does this help the person on the floor?
Shopic is a Tel Aviv-based retail technology company that turns ordinary shopping carts into AI-powered smart carts using a clip-on device driven by computer vision. Its platform recognizes items at the individual level in real time, enabling frictionless checkout, targeted in-store promotions, loss prevention, and store analytics without requiring retailers to rip out and replace their existing fleet of carts. Founded in 2015 by cybersecurity veterans, Shopic has raised roughly $56M and deployed with grocers including Israel's Shufersal, Walmart Chile, and Italian and French chains.
Hetal Retail is a New York-based startup that helps consumer brands see what is actually happening on store shelves. A crowdsourced network of everyday shoppers - called Hetalites - films short videos of store aisles on a mobile app, and Hetal's computer vision and AI turn that footage into planogram-compliance diagnostics, prioritized issue lists with visual proof, and correlations between shelf execution and sales. The pitch: retail-level visibility for a fraction of the cost of traditional manual audits, and a system that helps coordinate the fix rather than just flagging the problem.
Focal Systems is a Burlingame, California computer-vision company building what it calls the Self-Driving Store. Its battery-powered shelf cameras digitize aisles every hour and feed FocalOS, a retail operating system that automates ordering, restocking, planogram compliance and labor scheduling for some of the world's largest grocers, including Walmart and Morrisons.