See the entire shopper journey.
Radish combines billions of behavioural data points from ANZ shoppers with the scan, panel and ex-factory data your team already uses. One without the other is a half-picture. Together, it's the full story.
Back the right new product idea, and be able to prove it.
Built on what people actually cook, not what they say they cook.
Radish runs on what 150K ANZ households actually buy, not what they say in a survey. Test any concept against the largest grocery panel in the country, understand why shoppers really behave the way they do, and walk into the range review with evidence that holds up.
The Radish Difference
Built for FMCG (and only FMCG).
Every workflow and output is trained on how FMCG teams actually work. That's why Radish doesn't just answer questions - it builds category reviews, brand plans, JBP decks and promo analysis. This is why you wouldn't use ChatGPT or Copilot.
Delegation execution (don't just get summaries).
Radish does the work that eats your week and produces retailer-ready outputs. Your team stops being busy pulling data and starts driving strategy.
A bigger team without the headcount.
Every workflow and output is trained on how FMCG teams actually work. That's why Radish doesn't just answer questions - it builds category reviews, brand plans, JBP decks and promo analysis. This is why you wouldn't use ChatGPT or Copilot.
“Appetise provided valuable insights that led to the successful launch of our Breakfast Beef Sausage Patty. This product has resonated with our target market and expanded Angel Bay into a new category without cannibalising existing products. We're thrilled about its potential to become a permanent addition.”
How It Works
01
Brief it like a colleague
Tell Radish what you're working on, like a category review for Woolies, a brand plan for next year, a JBP prep, or a NPD opportunity. Upload your scan data, your last review, your brand strategy - or don't. Radish already has the Appetise dataset and the FMCG context to start immediately.
02
Radish does the heavy lifting.
It pulls the data, connects it to real shopper behaviour, builds the narrative and structures the output. This is finished, retailer-ready work, such as slides, analysis, recommendations, built on your data and ours.
03
Review, refine, present
You spend your time sharpening the story and making the call, not pulling numbers or building decks. Every session builds on the last, so Radish gets sharper on your brand, your category and your retailers over time.
