New: Retail trend graphs for your AI
Fodda turns 20 years of PSFK retail insight into a context layer your AI can query on demand.
Hey folks,
If you’re using AI for retail strategy, innovation, category planning or concept development, then our new offering Fodda might be worth looking into be relevant.
Over the last 6 months, I’ve noticed something: most retail teams don’t need more AI tools. They need better inputs into the ones they already have.
Your team might be using Copilot, Gemini, internal dashboards, or building lightweight agents. But those systems are only as good as the context you feed them.
That’s what Fodda is designed to solve: We’ve structured PSFK’s retail research into expert-built knowledge graphs that your AI can query directly via API or MCP.
Instead of uploading decks, “training your AI” or prompting against generic web data, your systems can access AND use curated retail intelligence with evidence attached.
What this means in practice
With Fodda:
Your AI can query retail trends directly
Responses are grounded in specific examples and sources
You can pull targeted category context instead of dumping PDFs into a prompt
Your internal tools don’t rely only on public training data
This isn’t another dashboard: it’s structured retail context, available on demand via API or MCP.
What’s live
More vertical graphs coming.
Who this is for
Retail innovation teams
Category strategy leads
Digital product teams
Anyone building AI-assisted workflows inside a retail organization
Explore Retail Trends for your AI
Or just reply to this email.
And… if you want to see where this is heading, here’s the latest Day 111 update:
— Piers