NielsenIQ just launched NIQ Product Intelligence to help brands clean up fragmented product data. This new solution standardizes attributes and tracks product identity across digital and physical stores. If there is no data structuring, products can quickly become invisible to recommendation engines and AI assistants. Keyword search queries search for exact matches such as “protein snack.”
Unlike that, today’s AI commerce solutions understand complicated human queries. People now ask for “a healthy chocolate brownie alternative that still feels indulgent.” They also look for “a premium low-alcohol drink for a dinner party.” Families even request “a gluten-free movie snack for family night.” NIQ Product Intelligence organizes data so AI can easily surface these recommendations.
Upgrading Retail Data for Smart Search
This rollout is the first major offering within the broader Commerce Intelligence portfolio from NielsenIQ. The system relies on NIQ’s massive global infrastructure. This data network connects with more than 8,900 retailers across 90 countries. Additionally, the tracking catalog spans more than 246 million unique items. The firm also maintains over 10 billion product attributes to keep data consistent.
Troy Treangen, Chief Product Officer at NIQ, highlighted the critical necessity of structured retail data for automated engines.
“AI systems can only reason over products they can properly understand. Product Intelligence creates a structured, interoperable product layer that resolves fragmented data, enriches attributes, and enables AI systems to identify, compare, and recommend products with far greater accuracy.”
Right now, NIQ Product Intelligence is available for clients in the United States. The company will evaluate global expansion plans later. Furthermore, NIQ plans to showcase the solution at its annual C360 event. This gathering takes place June 8-11 in San Antonio, Texas.
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News Source: Businesswire.com
