Introducing Winnow Vision, the most advanced food waste management technology on the market. Enabled with AI to maximise operational efficiency and data accuracy, reducing food waste with Winnow Vision is effortless. Join hundreds of kitchens across the globe cutting their costs by up to 8% a year.
Winnow Vision's food waste management technology has been trained to recognise over 600 different food items
Winnow Vision's food recognition technology automatically recognises the wasted food items, saving staff time
Winnow Vision requires almost no staff training or data entry as it provides you with accurate insight into food waste in your kitchen
Winnow Vision is the first time that AI has entered the professional kitchen at scale. This is a breakthrough product in the fight against food waste. Automation reduces the barriers to entry for thousands of kitchens around the world.
From day one, Winnow Vision offers improved data accuracy by validating each food waste entry, providing richer insight to help teams reduce waste.
As more image data is gathered into the food waste management technology system, Winnow Vision becomes smarter. When recognition capability is turned on, a state of semiautomation is reached where users are only required to confirm the suggested food. This reduces human error and saves users time.
Eventually, full automation will not require any input from the team.
Patent US 10290226
Thousands of chefs worldwide are already saving time and money with Winnow's food waste management technology
Cut your food costs by
2-8%
per year
Our clients cut their food costs by between 2 and 8% per year
See how 3 hotels in Asia have successfully cut waste and increased profitability in their kitchens
Fast financial returns with up to
1,000%
ROI in year one
Typical ROI 200%-1,000% within the first year of using Winnow
See how IKEA Bergen reduced food waste by 45% over the first 12 weeks
Winnow has been awarded the Tech Disruptor 2019 award at The Circulars. Presented at the World Economic Forum, the prestigious awards recognises achievement in developing the circular economy. Previous winners have included IKEA, Nike and Patagonia.
Thousands of chefs worldwide are already saving money and time using Winnow
"We’ve identified that overproduction is the main reason why we were wasting food. Winnow captures all of the food waste within the building and has helped me gain more control over my kitchen."
Thom Barker - Executive Chef, Chartwells Compass Group
Thousands of chefs worldwide are already saving money and time using Winnow
"With the help of Winnow, we have been able to improve our food offer. With our savings from reducing food waste, we have been investing in higher quality food and more sophisticated ingredients. We always attempt to deliver an unforgettable experience to all our guests."
Puchon Basoodeo - Executive Chef , Club Med Bali
Accuracy surpasses human level
Winnow Vision surpasses kitchen level accuracy of food waste categorisation. Due to the busy and often stressful nature of kitchens, kitchen level accuracy of food waste is between 70-75%. Winnow Vision now recognises the right item, first time, on over 80% of transactions and will improve over time. Additionally, the Winnow team validates each transaction to ensure the highest data quality.
Save time on data input
Automating food waste capture with Winnow Vision ensures that kitchen staff can spend more time cooking rather than entering data. In less than a couple of seconds, Winnow Vision recognises the wasted food, enabling staff to resume their task in the kitchen.
Reduced operational friction
Winnow Vision dramatically reduces the need for other tasks like staff training or engagement programs. Once trained in the kitchen, you will receive pinpoint data on your waste with no staff input required.
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Read all our Winnow Vision articles >Take a look inside The Kitchen of the Future
This guide looks at how artificial intelligence will shape the hospitality industry in the months and years ahead.
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Computer vision is a particular type of Artificial Intelligence (AI). It works by taking the information in an image, breaking it down in detail, and then making the computer analyze this information to understand what the image is.
Winnow Vision allows kitchens to automatically track and analyze food waste. It uses AI to help chefs easily pinpoint waste, cut costs and improve performance. Kitchens using Winnow typically see food waste cut in half, saving 3%-8% in reduced food purchasing costs.
The system takes photos of wasted food as it's thrown away and, using the images, the machine trains itself to recognise what is thrown in the bin. Winnow Vision is now operational in over 1,000 kitchens worldwide. Our data shows that we have reached and surpassed human levels of accuracy in identifying wasted foods.
Typically Winnow kitchens see an ROI of 200%-1,000% within year one. Our pricing is tiered according to the specifics of your kitchens.
A Winnow Vision system is made up of a Vision Control Box that records food waste and a connected scale that captures its weight.
A Vision Control Box is comprised of:
Once deployed, Winnow’s begins learning how to recognise food items as they’re thrown away. For most kitchens we are able to turn on AI predictions on day one, but the exact time frame depends on the breadth of your food offer.
Winnow Vision requires an internet connection, power supply, and wall space to install the Vision Control Box, as well as space for the bin and connected scale.
Winnow Vision surpasses human levels of accuracy which means that the system will be able to tell the difference between two very similar looking food items, even if the human eye might not be able to. An example of this is that the Winnow Vision system is able to differentiate between a piece of roast chicken vs. Piri Piri chicken though the human eye might not be able to.
Winnow’s data shows that commercial kitchens waste up to 20% of all food purchased (typically between 5% - 15%). Kitchens using Winnow’s analytics can expect to cut this in half in 6-12 months. This equates to average savings of between $1 - $5k a year for a smaller site through to $50k+ for a large hotel or staff restaurant.