Intage and NTT Data start wiring shopper-panel data straight into an AI product pipeline

Intage, Japan's largest market-research firm, said it has begun a strategic partnership with NTT Data and its subsidiary NTT Data Business Systems to jointly build an AI-based platform connecting consumer and market data directly through to product planning and formulation, according to a release dated October 5. The system draws on Intage's SRI+ retail-panel survey, which tracks sales across roughly 6,000 stores nationwide, and its SCI consumer-panel survey of about 70,000 respondents aged 15 to 79, feeding both into AI agents that the companies said will generate and evaluate product concepts against the data.

The three companies are aiming the platform at food, beverage, household-goods and cosmetics manufacturers, as well as retailers developing their own private-label ranges, and said they will start with proof-of-concept and validation projects alongside individual consumer-goods makers. Beyond product development, they said they intend to extend the same approach into supply-chain and marketing applications over time.

The pitch, on the companies' own account, is speed: compressing the distance between what Intage's panels show shoppers are actually buying and what a manufacturer decides to formulate next, cutting the rounds of concept testing that currently sit between purchase data and a finished product on a Japanese shelf. That gap has stayed one of the slowest, most manual parts of the business even as retailers have digitised nearly everything around it — and it matters most for private label, the fastest-growing part of many Japanese retailers' own assortments, where speed to shelf is the whole advantage over a national brand.

What to watch is how far the proof-of-concept stage actually reaches before this becomes a paid service makers and retailers are asked to adopt.