Winnow connects commercial kitchens to the cloud allowing them to record and analyse exactly what is put in the bin.
Using a camera, a set of smart scales and the same type of machine learning technology found in autonomous vehicles, Winnow Vision ‘learns’ to recognise different foods being thrown in the bin and calculates the financial and environment cost of this discarded food to commercial kitchens. Businesses and chefs can then adjust their food purchasing decisions accordingly, reducing their spending and tackling a fundamental problem of food waste: overproduction. Winnow has helped commercial kitchens save more than $33 million in annualised food costs which equates to preventing over 23 million meals going in the bin. The new, AI-powered Winnow Vision is already installed in over 75 kitchens and the technology will be rolled out to hundreds more this year.
- •33 000 000$ in total savings from Winnow users.
- •40-70% reduction in food waste within 6-12 months.
- •Food cost savings in the 3-8% range which improves margins.
Londres SE1, Royaume-Uni
SDG's of Application
SDG's of Application
- Medium and large scale commercialization
- Small scale commercialization
- Initial market commercialization
- Prototype testing in the real world
- Prototype testing 1:1 in the lab
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Argentina, Bolivia, Brazil, Bouvet Island, Chile, Colombia, Ecuador, Falkland Islands, French Guiana, South Georgia and the South Sandwich Islands, Guyana, Peru, Paraguay, Suriname, Uruguay, Venezuela,
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