Why is Kanpla talking about AI and why now?

Costs are climbing, there’s increasing pressure to cut waste, and sustainability targets aren’t getting any easier. At the same time, customers and clients expect more, whether that be more choice, higher quality, and a better experience. Across the industry, we’re always looking for ways to optimise both the experience and the business case: improving margins, cutting ingredient costs, lifting sales. Other sectors are already using AI to do just that. It’s time for catering to have a solution.

The Problems Caterers Face

In contract catering, there’s no shortage of data; sales reports, menu performance, footfall counts, changing cost prices, and waste figures. The problem? It’s scattered, inconsistent, and far too complex to work with when the kitchen is in full swing. By the time it’s been analysed, the moment to act, has often passed.

That complexity causes real headaches: forecasting customer numbers becomes a guess, menus are hard to fine-tune without hurting margins, upselling gets left on the table, and marketing campaigns rarely land with precision. All while budgets are getting tighter, costs are rising, and customers expect more choice, better quality, and a smoother experience.

We asked ourselves: what if that data stopped slowing you down and started working for you? Imagine if decisions could be based on the right numbers, at the right time? That question led us to start building something new.

Our Focus for the Future

We believe AI will play a key role in shaping the catering experience of tomorrow. Not by replacing the skill and creativity of caterers, but by enhancing them. Our focus is on making the complex simple, turning overwhelming kitchen data into clear, actionable insights. This is about giving caterers the tools to make faster, smarter decisions, so they can stay focused on what matters most: serving great food and delivering exceptional experiences.

The Impact We Believe

• Higher margins, reduced waste, smarter planning

• Better customer experience and satisfaction

• Less stress: time saved making decisions

Launch Date

Kai is introduced 9th October.

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