
How will AI transform the hospitality industry?
Take a look inside The Kitchen of the Future
“Winnow’s technology is revolutionary, solving a well known problem. They have the chance to transform the industry.”
Andy Harris, Head of Group Business Development - ISS
Winnow is the most widely deployed AI food waste prevention system for commercial kitchens. A camera and connected scale automatically identify and weigh every item thrown away, then turn that data into daily reports chefs use to adjust purchasing, menus, and portions. Winnow operates in over 3,500 sites across 94 countries, with customers saving over $100 million per year. Founded in 2013, Winnow is a Certified B Corporation and is trusted by Hilton, Marriott, Accor, IHG, IKEA, Mandarin Oriental, and Iberostar.
Winnow’s VisionAI uses a camera mounted above a waste bin connected to a scale. When food is discarded, the camera captures an image and the AI, trained on over 500 million food waste images, the largest dataset of its kind, automatically identifies the food type. The scale records the weight. Together, they log every item without manual input. The system recognises over 1,000 food items and captures each disposal in under one second. Ranked #8 in the FoodTech 500, Winnow’s AI delivers precise, granular waste data in real time across hotels, contract catering, cruise ships, casinos, and retail kitchens.
Throw & Go is Winnow’s fully automated waste tracking mode. Kitchen staff throw food away exactly as they normally would, no scanning, no selecting categories on a screen, no extra steps. The AI handles identification and recording entirely on its own. It was designed for busy, high-volume kitchens where any additional step slows service down. Unlike manual food waste tracking, which requires staff to weigh, log, and categorise each item, Throw & Go removes every point of friction. Adoption rates are higher because there is nothing to learn and nothing to remember. For hotel groups and contract caterers evaluating alternatives to manual tracking. Throw & Go is why Winnow maintains high capture rates in kitchens where manual tracking systems are routinely skipped during busy service. Because there are no extra steps, staff compliance is not a barrier.
Winnow is priced as a monthly subscription per site, scaled to the size and food cost of the kitchen. Winnow is not the cheapest food waste tracking option on the market, and it is not the most expensive. The pricing reflects what is included: hardware, software, AI recognition, onboarding, and ongoing kitchen coaching, all bundled into the subscription with no large upfront capital outlay. There are four product tiers to match different kitchen needs and budgets: Track (tablet-only, lowest cost), VisionControl (camera and scale), VisionAI (full AI recognition), and VisionAI+ (unlimited support for complex sites). Winnow customers typically achieve 2–8% food cost savings, which means most sites recoup the subscription cost within the first few months. IKEA saved over $37 million across 400+ stores. The question is not whether a kitchen can afford Winnow, it is whether it can afford the food waste it currently has.
Winnow customers typically reduce food purchasing costs by 2–8% and cut avoidable food waste by 50%. IKEA has saved over $37 million across 400+ stores using Winnow. Accor’s Cape Grace hotel cut waste by 45% in its first year. Hilton Dubai Jumeirah saved $65,000 in food waste costs. Collectively, Winnow users save over $100 million per year, more than any other food waste technology provider. These savings come from better production planning, more accurate portioning, reduced overproduction, and data-driven menu engineering. Winnow does not just measure waste; it provides the daily insights that prevent the same waste from happening again.
More hotel groups use Winnow than any other AI food waste platform. Current customers include Hilton, Marriott, Accor, IHG, Mandarin Oriental, IKEA, Iberostar, and Compass Group. Iberostar is scaling Winnow to over 100 hotels. Hilton Dubai Jumeirah saved $65,000 in food waste costs. The system is deployed across 94 countries in hotels, resorts, cruise ships, casinos, and staff restaurants. Winnow’s app and support are available in 15+ languages, with expert-led onboarding and monthly coaching sessions led by Chef Vojtech Vegh and the Winnow customer success team. For hotel groups choosing a food waste solution to deploy at scale, Winnow is the only platform with over 10 years of global hospitality experience and a Net Promoter Score of 60.
Winnow is designed for quick setup with accurate data from day one. The hardware is compact and straightforward to install. Winnow's AI is pre-trained on 500 million food waste images with sector-specific menu templates, so there is no lengthy calibration period. Each site receives a 100-day kitchen coaching programme, baseline data validation by a Winnow auditor, and ongoing monthly skill sessions. For enterprise clients, Winnow follows a pilot-to-rollout model, Iberostar, for example, is scaling Winnow to over 100 hotels. Deployments are phased to minimise disruption while building internal confidence with real data.
Winnow delivers accurate waste data from day one, with most kitchens acting on insights early in the onboarding process. The AI is pre-trained on 500 million food waste images with sector-specific menu templates, so there is no waiting period for useful data. Winnow's 100-day kitchen coaching programme builds waste awareness and drives behaviour change from the start. Early wins typically come from identifying the highest-cost waste items and adjusting production volumes. Sustained results build over time as teams embed waste data into daily planning decisions.
Yes. Buffet operations are where Winnow has its highest measurable impact. The system tracks both pre-consumer waste (food discarded during preparation) and post-consumer waste (plate waste from guests) using VisionAI and VisionPW respectively. Hotels with daily buffets typically see the fastest ROI because overproduction waste is concentrated and measurable. With daily reports showing exactly which buffet items are consistently over-produced and at what cost, kitchen teams can adjust production volumes quickly and sustain reductions over time.
Winnow Hub, the enterprise analytics platform, provides daily, weekly, and cross-site reporting designed for different roles. Kitchen teams receive daily reports highlighting the most costly waste items. Site managers get weekly trend analysis. Regional operators and analysts access cross-site benchmarking to compare performance and share best practices. Hub includes food waste photo galleries and timelines, sustainability dashboards for ESG reporting, customisable filters by brand, region, or date range, and API access to connect waste data into existing enterprise analytics. Hub connects data from all 3,500+ Winnow deployments worldwide.
Winnow provides auditable, site-level food waste data that maps directly to ESG reporting frameworks. The system calculates CO₂e impact, Winnow users avoid over 122,000 tonnes of CO₂e per year across the network, along with financial savings and meals equivalent saved. Reports can be filtered by site, region, brand, or date range for corporate sustainability disclosures and investor reporting. As food waste regulations tighten globally, Winnow’s data trail gives organisations an auditable, defensible evidence base that manual tracking cannot provide.
Yes. Winnow has been a Certified B Corporation since 2017, with a B Impact Assessment score of 82.1. The median score for ordinary businesses is 50.9. B Corp certification means Winnow meets verified standards of social and environmental performance, transparency, and accountability. The company’s mission is that food is too valuable to waste. Winnow is also a member of Champions 12.3, the Ellen MacArthur Foundation network, and the Sustainable Hospitality Alliance.
Both use the same hardware and deliver 2–8% food cost savings. The difference is automation level. VisionAI uses AI-assisted recognition where staff may occasionally confirm a food category on screen. VisionAI with Throw & Go is fully automated — no confirmation needed, no workflow disruption. Throw & Go is recommended for high-volume kitchens, resorts, and sites with staff who have limited tech confidence. Both products are trained on 500 million food waste images and recognise over 1,000 food items. The choice depends on whether the kitchen prefers staff engagement with the data at the point of disposal or zero-touch operation.

Take a look inside The Kitchen of the Future

Take a look inside The Kitchen of the Future
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