ToqanClaw: How Just Eat Takeaway’s No-Code AI Platform Empowers Restaurants to Build Apps and Automations

What ToqanClaw Actually Is

ToqanClaw is built in-house and integrated with Toqan, Prosus’s proprietary AI platform. It brings many of the capabilities found in tools like OpenClaw into a controlled, secure environment — meaning restaurant data stays where it belongs, under the operator’s control.

This isn’t a third-party bolt-on or a white-labeled SaaS product. It’s a native capability being rolled out directly to Just Eat Takeaway’s 362,000 restaurant partners across Europe.

The timing matters. AI tools have largely served enterprise-level businesses with dedicated tech teams. ToqanClaw is a direct attempt to close that gap for independent operators.

The Real-World Numbers Are Hard to Ignore

Two early adopters from the Netherlands have already put ToqanClaw to work — and the results are concrete.

Burger & Frites, a Rotterdam-based burger chain, built a delivery analytics agent using the platform. The outcome: a 25% increase in deliveries, a 60% reduction in overtime, and €21,000 saved per month. Those aren’t projections — that’s what the tool is already delivering.

Poke Perfect, a Dutch poke bowl chain, took a different approach. They created an operations assistant accessible directly through WhatsApp, which cut routine staff queries by 70%. Teams stopped answering repetitive internal questions and started focusing on customers.

These aren’t edge cases. They’re proof that no-code AI, when built for a specific industry context, can generate measurable ROI fast.

How It Fits Into Just Eat Takeaway’s Broader AI Stack

ToqanClaw doesn’t exist in isolation. It’s the latest layer in a growing AI infrastructure Just Eat Takeaway is deploying across its partner network.

Restaurant partners already have access to:

• AI-powered support by voice or chat — available in their own language, around the clock, no call queue required
• Proactive WhatsApp agents that surface recommendations and prompt operational changes without waiting for a partner to ask

ToqanClaw extends this significantly. Instead of just receiving AI-generated insights, partners can now build their own tools — custom automations, reporting dashboards, inventory trackers — tailored to how their specific business actually runs.

It’s the difference between being handed a report and building the system that generates it.

The Engine Behind It: Prosus’s Large Commerce Model

What makes ToqanClaw more than a generic no-code builder is the intelligence underneath it.

Prosus has developed its own Large Commerce Model (LCM) — trained on data from over 1 billion customers and 500 million daily interactions across the Prosus portfolio. When connected to ToqanClaw, the LCM doesn’t just execute tasks. It starts anticipating what a business needs, surfacing opportunities before a restaurant owner even thinks to ask.

That’s a meaningful distinction. Most AI tools react. This one is designed to get ahead of the problem.

Who This Is Built For

ToqanClaw is explicitly designed for small and independent restaurant operators — the businesses that have historically been priced out of enterprise-grade technology.

If you’re running a single location in Amsterdam or a small chain across Belgium, you don’t have a CTO. You don’t have a data team. You have a business to run and not enough hours in the day.

ToqanClaw targets that exact gap. No technical knowledge required. No IT dependency. No waiting.

Roberto Gandolfo, CEO of Just Eat Takeaway.com, put it directly:

“Great technology shouldn’t be the exclusive preserve of large chains with dedicated technology teams. With ToqanClaw, an independent restaurant owner can simply describe what they need and have a working tool within minutes.”

That’s the value proposition in one sentence.

What to Watch

A few things worth tracking as ToqanClaw rolls out across Europe:

Adoption breadth vs. depth. With 362,000 connected partners, the distribution potential is enormous. The real question is how many operators actually engage with the platform beyond surface-level features.

Vertical expansion. Right now the focus is restaurants. But the underlying Toqan infrastructure and LCM are built for commerce broadly. Expect this to expand.

Competitive response. Platforms like Deliveroo, Uber Eats, and regional players will be watching. No-code AI tooling for restaurant partners is a genuine differentiator — and a retention mechanism.

The Bottom Line

ToqanClaw is a well-timed, well-positioned launch. It takes a real pain point — the technology gap between large chains and independent operators — and addresses it with a tool that’s already producing verifiable results.

The €21,000 monthly saving at Burger & Frites isn’t a marketing number. It’s a signal that when AI is built for a specific context, with the right data underneath it, it works.

For restaurant operators across Europe, this is worth paying close attention to. For the broader AI tools ecosystem, it’s a strong example of what vertical-specific, no-code AI can actually look like when it’s done right.