
How will AI transform the hospitality industry?
Take a look inside The Kitchen of the Future
Introducing Winnow Vision, the most advanced food waste 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.
Watch IKEA's story
Winnow Vision surpasses human levels of accuracy in identifying food waste, additionally validated to ensure data quality
After a period of training, Winnow Vision automatically recognises the wasted food items, saving staff time
Once trained, Winnow Vision requires almost no staff training or data entry
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, 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
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 get better 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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Winnow is proud to join the Global Sustainable Tourism Council (GSTC)
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.
In this guide, four industry experts from Emaar Hospitality Group, IKEA, Russell Partnership Technology and the World Resources Institute share their insights on how businesses can utilize AI technology to stay ahead of the curb.
Computer Vision is a field of Artificial Intelligence (AI). Computer vision is the discipline of taking the information in an image, breaking it down in detail and then making the computer analyze that information to help us understand what the image is.
Winnow Vision is a new tool which will allow kitchens to automatically track food waste. It uses AI to help chefs easily pinpoint waste, cut costs and save time. Kitchens using Winnow typically see food waste cut in half, saving 2%-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 has been thrown in the bin. Winnow Vision is now operational in over 200 kitchens. Our data shows that we have reached and surpassed human levels of accuracy in identifying wasted foods.
Typically Winnow kitchens see and ROI of 200%-1,000% within year one. Our pricing is tiered according to the specifics of your kitchens.
The system will need 200-1000 images to recognise each food items, so the exact time depends on the breadth of your food offer. Winnow Vision is best suited to hospitality groups with multiple sites (30+) where larger volumes of images can be captured. These types of operations can expect to reach automation faster than smaller chains or individual restaurants.
Winnow Vision requires an internet connection, power supply, and wall space to install the connected tablet and camera facing downwards over the bin.
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 on average kitchens waste between 4%-12% of all food purchased. Kitchens using Winnow’s analytics can expect to cut this in half in 6-12 months. This equates to average savings of between $5k a year for a smaller site through to $50k+ for a large hotel or staff restaurant.
Take a look inside The Kitchen of the Future
Take a look inside The Kitchen of the Future