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Case Studies / Wagamama
How wagamama Saved £1 Million in Energy Costs with Clearworld
wagamama has achieved 11% average YOY energy savings across more than 140 restaurants by giving Clearworld the opportunity to do what they do best: make existing systems work harder, smarter and more efficiently than before.
There is no settling-in period or behaviour change programme required. The savings are immediate because Vision iQ simply takes over the decisions that used to get forgotten at the end of a busy shift.
Testimonial
What wagamama says about our solution
Testimonial
Continuous Improvement at Scale
Kaizen, the philosophy of continuous good change, isn't a concept that lives in a boardroom at wagamama. It shows up in the day-to-day running of the business. Energy reduction at this scale, consistent, measurable, and growing over time, is exactly what that looks like in practice. And none of it asks anything different of the teams on the ground.
wagamama approached Clearworld looking for a partner to help it get more from its existing equipment and processes. Together, the teams identified where automation and better visibility could make the biggest difference, all without changing how the restaurants run day to day.
That relationship hasn't stopped at installation. Across four completed phases and two years of partnership, we have kept providing energy and maintenance data and stayed in regular contact with sites, refining each phase based on the last.
Vision iQ™ Savings Calculator
See how fast Vision iQ™ pays for itself
Tell us how your site runs in four short steps. In about two minutes, you'll have a personalised annual saving, payback period and five-year return. It's as simple as that.
Your Vision iQ™ saving estimate
This is an indicative estimate based on benchmark assumptions for your sector, not a guaranteed saving. Clearworld will validate the figure with half-hourly data and/or a site survey before any formal savings proposal.
The ROI assumes an indicative Vision iQ investment of per site plus per site per month, set against the expected saving shown.