NIQ Global Intelligence plc announced the launch of its Commerce Lab, a new initiative designed to build the technology infrastructure that powers AI‑mediated commerce. The lab will create data platforms, application programming interfaces, and measurement systems that enable brands and retailers to understand how products are discovered, evaluated, and purchased in environments driven by artificial intelligence.
The scope of the Commerce Lab covers agentic commerce—AI systems that autonomously pursue complex purchasing goals—as well as quick commerce, social commerce, and other emerging channels. It will develop six key capabilities—Preference Intelligence, Product Intelligence, Availability Intelligence, Purchase Verification, Channel Measurement, and Optimization Intelligence—to provide a unified intelligence layer that captures consumer interactions across both online and offline touchpoints.
The launch extends NIQ’s existing Full View platform into the rapidly growing AI‑driven commerce space, positioning the company to capture new revenue streams and deepen its data moat. Lisa Lovallo Ceppos, former product strategy executive at Google, has been appointed Head of AI Commerce, underscoring NIQ’s commitment to advancing its AI agenda. Jim Peck, Chairman and CEO, said the lab will shift the company from measurement and analytics to real‑time signal reading and action, delivering the intelligence layer the market will depend on today and in the future.
NIQ’s recent financials show $4.2 billion in revenue and a loss of $1.32 per share, but the company expects profitability in the current year. The Commerce Lab is a strategic investment aimed at monetizing AI commerce insights, potentially opening new revenue streams and strengthening competitive positioning in a market where AI is increasingly mediating consumer choices.
AI‑mediated commerce is growing, with agentic, quick, and social commerce gaining traction. NIQ’s global data footprint and AI modeling expertise give it a competitive edge. The lab’s unified intelligence layer will help brands and retailers capture consumer interactions across channels, addressing a gap in current measurement capabilities.
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