AI is changing how market research gets done. Faster fieldwork. Faster coding. Faster dashboards, faster reporting, across many more data points. For FMCG teams under pressure to make the right call quickly, that’s a real advantage.
But speed alone doesn’t win a category review. A summary generated in seconds can’t tell you why a range is underperforming, how a retailer will react, or what to fix first. Generic AI output wasn’t built for that. Broad models with no commercial context and findings nobody can act on aren’t useful when you’re managing multiple brands across multiple categories and markets at once.
Story Insights uses AI for market research to strip out the slow work and sharpen the thinking. Then our senior consultants turn the output into clear direction: what to do, why it matters, and in what order.
AI market research uses machine learning, natural language processing and automation to collect, clean and analyse data at a scale no team can match by hand. In practice, that means:
Done well, market research AI shortens the distance between a question and an answer. It frees up time for the work that actually moves the needle. Done badly, it produces recommendations nobody should trust.
Most FMCG teams already have more data than they can use. The problem isn’t access. It’s clarity. AI can process the data, but it can’t decide what matters. That’s still a human job, and it’s the one we’re built for.
The right AI tools for market research are brilliant at the heavy lifting. They’re fast, tireless and consistent. They can process volumes of data that would take an analyst team weeks to process. They’re far weaker at what decides the outcome.
Without that layer, AI gives you more information. With it, you get better decisions.
We’re data agnostic. We don’t push a proprietary platform or a favourite methodology. We choose the AI market research tools that fit your question, then pressure-test every output against real shopper behaviour and commercial reality.
Every project follows the same logic:
AI speeds up the work. Our consultants make sure it’s the right work. The experience of our most senior people is applied in our very own ‘Shopper.AI’ built using more than 60 years of category management learning
We apply AI where it adds real value across the shopper and category agenda:
Shopper insights: Faster analysis of usage, attitudes and purchase drivers. Understand who’s buying, who’s not, and what’s driving the difference across categories.
Path to purchase: Map the real decision journey from awareness to conversion. Pinpoint where shoppers drop off and which lever genuinely moves the sale.
Customer behaviour analysis: Segment shoppers, understand what drives switching and test what people actually do, not just what they say they’ll do.
Retail analytics services: Turn sales and retail data into fast, usable sales diagnosis. Find the growth drivers and the barriers, then act on them.
Category management services: Identify unmet need, quantify incremental opportunity and build range decisions on credible shopper evidence.
FMCG market research: Validate new concepts, test pack and price architecture, forecast launches, and build the evidence base for stronger retailer conversations.
Sharper analysis, clearer answers, and a recommendation you can take straight into the room.
AI market research should make your life easier, not add to your reading pile. Here’s what working with us delivers:
We immerse in your category and business objectives before any research begins.
Bespoke methodology — quantitative, qualitative, or integrated calibrated to your questions.
Data collection across APAC, benchmarked against IRI and Mintel intelligence.
Decision-ready recommendations built for retailer reviews and board sessions.
Plenty of agencies now offer AI market research. Too many are junior teams with a dashboard and a good pitch. Our senior-only consulting model means the people you speak to at the start are the same people running your project, from kick-off to final recommendation.
Coca-Cola, Nestlé and Lactalis trust us with commercially sensitive work. That trust is built on consistent delivery and clear thinking, not on the technology in the stack.
Our clients are insights managers, category managers, brand managers and category development teams. They don’t need another dashboard. They need a decision.
Clients usually come to us when something feels off. Sales are soft. Share is slipping. A range review is coming. A launch carries real risk. In each case, AI for market research gets you to the evidence faster, and our consultants make sure the evidence points somewhere useful.
Story Insights is based in South Melbourne, but our work spans Asia-Pacific, Europe and beyond. For multi-brand organisations managing portfolios across markets, that matters.
We understand Australian retail from the inside and pair global frameworks with local expertise through our network of specialist associates. That means outputs reflect how each market really shops, not how a model assumes it does.
Got a decision to make and not enough time? Tell us the question. We’ll show you how AI and senior judgment get you to the answer faster.