RADAR Raises Series B at $1B Valuation to Scale Retail AI Infrastructure
RADAR raised $170M at a $1B valuation to expand its AI-powered retail intelligence platform using RFID and computer vision analytics.
Physical retail spent the last 20 years operating like a casino trying to count cards in the dark. Massive revenue. Endless movement. Constant uncertainty. Executives knew inventory problems were expensive, but most never realized how absurd the blind spots actually were until e-commerce exposed them in public. Now RADAR, the New York-based retail AI infrastructure company founded by Spencer Hewett, has raised $170M in Series B funding at a $1B valuation. CNBC reported the round was co-led by Gideon Partners and Nimble Partners, with participation from Align Ventures. The company’s retail intelligence platform combines RFID-enabled inventory tracking, computer vision retail analytics, and AI-driven operational intelligence to help retailers understand what is happening inside physical stores in near real time.
The broader implication is difficult to ignore: physical stores are becoming software-defined environments. The old retail model relied on periodic inventory checks, fragmented systems, and employees manually hunting for misplaced products like exhausted detectives at the end of a double shift. RADAR is part of a growing wave of enterprise AI infrastructure companies turning stores into measurable systems that behave more like intelligent networks than static square footage.
What Happened
RADAR’s latest funding round pushes the company into unicorn territory at a moment when enterprise AI narratives are colliding with operational reality. Retailers are under pressure from labor costs, shrink, supply chain volatility, and omnichannel fulfillment demands shaped by Amazon-era consumer expectations. “Maybe the item is somewhere in the back” stopped being an acceptable answer years ago. RADAR’s platform combines proprietary RFID infrastructure with computer vision systems and AI analytics to continuously track inventory movement inside physical retail environments. The company says its retail intelligence platform delivers near real-time visibility with 99% accuracy across sales floors, stockrooms, and fitting rooms.
The growth numbers explain why investors leaned in aggressively. RADAR expanded from supporting more than 650 stores across the U.S. and Canada in 2025 to more than 1,400 retail locations by 2026. American Eagle deployed the technology across hundreds of stores, while Old Navy emerged as another major customer example cited by CNBC. The economics become persuasive quickly when inventory stops disappearing into operational fog. CNBC reported one deployment reduced shrink by 60%. Earlier investor commentary tied to RADAR’s growth claimed the system could drive sales lifts up to 12% while reducing overstocks. That combination gets boardrooms moving fast because retail margins are brutal. A few percentage points in shrink reduction or inventory optimization can materially reshape profitability across large store fleets.
Why RADAR Matters Beyond Inventory
Most people hear “inventory visibility” and picture warehouse software. That misses the larger story. RADAR is building behavioral infrastructure for physical commerce. The company’s AI analytics platform, RADAR+, expands the system from inventory tracking into store intelligence. Retailers can monitor fitting-room behavior, dwell time, replenishment speed, misplaced items, product interaction patterns, and conversion signals at the SKU level. That changes how stores operate.
For decades, digital commerce had a massive intelligence advantage over physical retail. Online businesses could track clicks, cart abandonment, engagement patterns, and conversion funnels in real time. Physical stores largely relied on delayed reporting, fragmented POS systems, and employee intuition. Retail executives spent billions optimizing supply chains while still struggling to answer one basic question: what is actually happening inside the store right now? RADAR closes part of that intelligence gap through inventory intelligence and operational AI systems built specifically for enterprise retail automation. And that matters because stores are no longer just stores. They are fulfillment centers, return hubs, brand environments, data collection surfaces, and increasingly important margin engines in omnichannel commerce.
Once physical environments become measurable, operational strategy changes. Labor allocation changes. Merchandising changes. Loss prevention changes. Forecasting changes. Eventually autonomous checkout changes too. That is the deeper signal investors are betting on.
The Retail AI Market Is Growing Up Fast
Enterprise AI conversations spent the last 2 years drowning in PowerPoint optimism. Every company suddenly became “AI-powered” after adding a chatbot and rewriting its homepage copy. Retail operators are now separating cosmetic AI from operational AI. The distinction matters. Operational AI touches cost structure, labor efficiency, inventory management, fulfillment reliability, and profitability. Those systems survive budget reviews because they directly affect margins.
RADAR sits inside a broader enterprise AI infrastructure shift happening across logistics, autonomous checkout, supply chain intelligence, and enterprise retail automation. The company is not selling novelty. It is selling operational visibility in an industry historically built on approximation. That also explains why the investor roster matters. Align Ventures returned after leading RADAR’s Series A in 2023. Existing backing tied to retail operators and strategic investors gives the company unusual alignment with enterprise deployment realities. Retail technology dies quickly when products require operational behavior retailers cannot realistically support.
RADAR appears to understand the opposite principle: infrastructure wins when it quietly removes friction without forcing retailers to redesign their entire business overnight.
What This Signals for Enterprise Technology
The broader enterprise market is entering a phase where AI infrastructure becomes inseparable from physical infrastructure. Warehouses. Stores. Manufacturing floors. Hospitals. Airports. Logistics hubs. Every physical environment with movement, assets, labor, and operational inefficiency is becoming a candidate for machine-readable intelligence layers. Retail simply happens to be one of the largest and messiest examples.
That creates a powerful market dynamic. Infrastructure companies capable of bridging physical environments with AI-native analytics become disproportionately valuable because they generate proprietary operational datasets competitors cannot easily replicate. RADAR’s advantage is not just software. It is persistent visibility into physical behavior at scale. And that is increasingly where enterprise value gets created. Not in AI demos. In systems that quietly reduce chaos while everyone else is still arguing about the future on LinkedIn.
Frequently Asked Questions
What is RADAR?
RADAR is a New York-based retail AI company that uses RFID, computer vision, and AI analytics to provide near real-time inventory visibility inside physical retail stores.
How much funding did RADAR raise?
RADAR raised $170M in Series B funding at a $1B valuation.
Who invested in RADAR’s Series B round?
CNBC reported the round was co-led by Gideon Partners and Nimble Partners, with participation from Align Ventures.
Who founded RADAR?
RADAR was founded by Spencer Hewett, who currently serves as CEO.
What technology does RADAR use?
RADAR combines RFID infrastructure, computer vision systems, and AI analytics to track inventory movement and store activity in real time.
What is RADAR+?
RADAR+ is the company’s AI analytics platform focused on inventory intelligence, shopper behavior, replenishment visibility, and store operations.
Why does RADAR matter in enterprise AI?
RADAR represents a growing category of operational AI companies applying machine intelligence to physical retail environments and fulfillment systems.
Why is inventory intelligence important in retail?
Inventory intelligence helps retailers reduce shrink, improve fulfillment accuracy, optimize labor, and better understand customer behavior inside stores.