OUR STORY
Ten years of the same problem. Then everything changed.

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I've spent the last decade working in food and beverage. Before that, I was a consultant at fortune 500 companies and startups building enterprise and infrastructure products for a living.
In the last decade working with wholesalers, manufacturers, and distributors, I kept hearing the same thing. It didn't matter who I was talking to or what we were trying to build — sales growth, automation, better reporting, sharper insights — the conversation always landed in the same place.
They have too much data, fragmented across too many systems and formats, and making any sense of it turns into a massive IT project. Months of work. A lot of money. Output that rarely matches what anyone hoped for. So IT became a bad word in the industry. A cost centre. Something you tolerate, not something you bet on.
That's been the reality for as long as I've been in this space.
Then six months ago, it shifted
Technology is reshaping entire industries right now, and food and beverage is no exception. The companies who move on it will pull ahead fast. The ones who don't will pay for it — and for most of them, catching up later won't really be an option.
That's why we built Cerve.
Cerve is a supply chain intelligence platform. We help food and beverage companies turn fragmented data into insights and automation, instantly.
You connect your data — email inboxes, ERPs, accounting systems, PIM tools, whatever you've got. Cerve cleans it, enriches it, contextualises it, and builds your digital supply chain. Anything incomplete, we fill in. Anything missing, we find within the network.
Then we make it actionable, immediately.
That last word matters. No clean-up project. No six-month discovery phase. You plug in and go.
Three things you can do with it
Ask your data questions. Sales, procurement, operations — whatever you want to understand, you ask, and you get an answer back grounded in your actual numbers.
Automate the operational grind. How orders come in, how invoices get processed, how specs land in your systems. The repetitive work that eats your team's week.
Build on top of it. Customer portals, customer service tools, anything bespoke — on data that's already structured and ready to go.
It's not another IT project. It's the thing IT projects were always meant to deliver and rarely did.
What this looks like in practice
Woods Foodservice started by automating 11,000 orders a month. From there they pushed into specs, invoices, insights, reports — they're aiming to become the first fully automated wholesaler in the UK. Within 12 months they'd acquired a competitor and doubled their profit margins.
North West Tea went hard on automation and cut 50% of their headcount, which let them get genuinely aggressive on pricing.
The Wholesale Group came on board two years ago and rebuilt their member engagement and marketing operations end-to-end. They've since merged with Fairway and grown profit 10x.
Why this works when nothing else has
Cerve isn't another AI tool, and it isn't an IT project. We've built a supply chain graph model based on the real-world supply chain — modelled on tens of thousands of companies and billions of data points.
That matters for two reasons.
You don't need to sort your data out before you join. We enrich and connect what you've got, so you start using it from day one. No clean-up. No prerequisites.
And when you connect to Cerve, you're connecting to a knowledge model of the entire industry. You get visibility into category, segment, and location performance — totals, averages, benchmarks, market movements. The kind of context that's been locked inside trade bodies and consultancies until now, available the moment you're plugged in.
The change is real
It's coming for everyone. The ones who move first will feel the unfair advantage working in their favour. The rest will spend the next few years picking up the pieces.
We'd rather you were in the first group.
Dan Mazig