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 US-based retail technology firm Radar has successfully secured $170 million in a new funding round, propelling its market valuation to $1 billion. This milestone officially welcomes the company into the "Unicorn" startup club, driven by growing investor bets on artificial intelligence's role in reshaping the brick-and-mortar shopping experience.

High-Precision RFID Tracking and Sales Impact The company relies on an intelligent software platform powered by Radio Frequency Identification (RFID) technology. The system enables physical retail stores to track product locations across branches with an exceptional 99% accuracy rate—compared to less than 70% in legacy inventory tracking systems. This gives retailers a real-time, granular view of inventory movement and product availability across shelves and fitting rooms.

The framework aims to solve one of traditional retail's biggest pain points: locating specific merchandise or verifying if exact sizes are in stock. Through Radar’s application, retail associates can instantly locate any garment, even if misplaced by shoppers, accelerating checkout speeds and elevating the overall customer experience. Radar reports that its proprietary hardware and software have driven in-store sales up by over 10% for select clients. The system is already deployed across nearly 1,500 branches belonging to major national brands, including American Eagle and Old Navy, with additional major retail chains currently conducting operational pilots ahead of wider rollouts.

AI Fitting Room Analytics and Expansion Strategies Beyond baseline product location, Radar has recently introduced advanced artificial intelligence tools to analyze merchandise velocity and unlock deeper insights into consumer shopping behavior. The newly added features track fitting room engagement metrics, revealing which products customers try on, what sizes are frequently exchanged, and which items are ultimately abandoned before checkout. This analytical data allows retailers to quickly diagnose underlying manufacturing issues, sizing errors, or design flaws.

Additionally, the platform features a predictive floor-planning tool that uses actual consumer movement datasets to recommend optimized floor layouts, offering real-time projections on how layout changes will impact overall sales volumes. This surge in capital comes as broader enterprise AI investments accelerate, with corporate funds flowing toward integrating digital frameworks into legacy sectors like retail, which seeks to replicate the hyper-targeted analytics native to e-commerce. Armed with the fresh $170 million capital injection, Radar plans to ramp up its expansion timeline, targeting 100 new storefront deployments per month, while scaling up its engineering, account management, and operational consulting divisions to meet growing market demand.