Winnow

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About

AI food waste management using computer vision cameras to identify and track kitchen waste.

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Key Features

Winnow Vision hardware - an AI camera plus connected scale over the kitchen bin that automatically captures a photo, weight and cost for every disposal event, with photo-backed waste reports for verification.

Throw & Go(R) fully automated tracking mode - staff throw food away exactly as normal with zero scanning, tapping or screen confirmations; per the vendor FAQ the AI recognizes 1,000+ food items in under one second.

AI model trained on a dataset of 500+ million food waste images, pre-trained with sector-specific menu templates so sites get usable data from day one without a calibration period.

Winnow Hub multi-site analytics - daily and weekly waste-trend reports, custom dashboards filterable by site or region, and auditable weight, cost and CO2e-avoided figures usable for ESG reporting.

Four packages scaled to kitchen size: Winnow Track (tablet-only, cafes under ~$50k annual food cost), VisionControl (camera + scale), VisionAI (full automated recognition), and VisionAI Plus (unlimited support, menu customisation, human validation of top transactions).

Vision PW add-on - a motion-sensor camera and connected scale specifically for tracking post-consumer plate waste (e.g. hotel buffets).

100-day onboarding and coaching programme with culinary advisors plus baseline data validation, included in the subscription along with the hardware (no large upfront capital cost, per the vendor FAQ).

Pricing

Custom pricing

Contact Winnow directly for detailed pricing information, custom plans, and enterprise quotes.

What is Winnow?

Winnow is an AI food waste prevention system for commercial kitchens: a camera and connected scale mounted over the waste bin photograph and weigh everything thrown away, and computer vision (trained on 500+ million food waste images) identifies the food automatically, turning bins into a data source for purchasing and menu decisions. Founded in London in 2013 and now deployed at 3,500+ sites in 94 countries, it is built for hospitality operators - hotels, contract caterers, cruise lines, casinos and corporate dining - with named customers including IKEA, Hilton, Marriott, Accor and Mandarin Oriental. Unlike inventory-management software, Winnow measures what actually gets discarded (production and plate waste) rather than what sits on shelves; the vendor claims typical customers cut avoidable food waste by around 50% and food purchasing costs by 2-8% against their measured baseline.

Winnow pricing

Plan	Price	Notes
Winnow Track	Custom quote - not published (monthly subscription, as of July 2026)	Tablet-only tier for cafes/kiosks with under ~$50,000 annual food costs; positioned as the 'simple and affordable' entry point. No dollar figure is published anywhere.
VisionControl	Custom quote - not published (monthly subscription, as of July 2026)	Image-led system with in-built camera and connected scale for small kitchens (<$100,000 annual food costs); includes 100 days of onboarding support and monthly online skill sessions.
VisionAI	Custom quote - not published (monthly subscription, as of July 2026)	Full AI recognition from day one for medium kitchens (<$250,000 annual food costs); records waste without changing kitchen processes (Throw & Go).
VisionAI Plus	Custom quote - not published (monthly subscription, as of July 2026)	For large kitchens ($500,000+ annual food costs): everything in VisionAI plus unlimited success support, menu customisation and validation of top transactions by Winnow data specialists. Optional add-on for any tier: Vis

Pricing verified July 2026 from the vendor website and public sources; plans and rates can change - confirm with the vendor before purchase.

Winnow pros and cons

Pros

+Documented large-scale enterprise results: IKEA reports a 54% food waste reduction and over $37 million saved across 400+ stores, and Hilton's Green Ramadan 2025 initiative cut plate waste 26% across 45 hotels (vendor case studies, corroborated by the independent Food Planet Prize profile).
+No behaviour change required in the kitchen - Throw & Go removes the manual logging that plagues tablet-based waste tracking, which is the most common failure point for this category (vendor docs; also acknowledged in competitor comparisons).
+Subscription bundles everything (hardware, AI software, onboarding, 100-day coaching, ongoing skill sessions), and the vendor states most sites recoup the subscription cost within the first few months via 2-8% lower food purchasing.

Cons

−No public pricing at all - every tier is quote-only monthly subscription scaled to your food costs, making it impossible to budget or compare without a sales call.
−Once foods are mixed in the bin the system captures only one ingredient per disposal, which limits data granularity in busy kitchens versus ingredient-level competitors (claim from competitor Orbisk's 2026 comparison - treat as a competitor-sourced critique, but it matches Winnow's own single-item recognition design).
−Essentially zero independent user reviews exist: Capterra UK and Software Advice listings both show no written reviews, so third-party validation rests almost entirely on vendor-published case studies; wall-mounted units may also require technician installation, slowing multi-site rollouts (competitor-sourced claim).

Top Winnow alternatives

Leanpath

The longest-established food waste tracking vendor (used by Sodexo, Google, Hilton, Marriott) with deep contract-catering experience and Floor Scale AI - better for high-volume central/institutional kitchens that want structured prevention workflows and coaching.

Orbisk

Fully automatic camera-over-bin system deployed in 1,000+ kitchens that markets ingredient-level recognition of mixed waste - better if you need more granular per-ingredient data than Winnow's one-item-per-disposal capture.

Kitro

Swiss-built KITRO TARE combines the AI camera and scale inside the bin itself (used by Zurich Marriott, Hyatt Regency Dusseldorf, Four Seasons Geneva) - better for European hotels and restaurants wanting a compact self-contained device, though multi-site dashboarding is weaker.

Winnow FAQ

How much does Winnow cost?

Winnow does not publish prices (as of July 2026). It charges a monthly per-site subscription tiered by kitchen size and annual food costs, across four packages: Winnow Track (tablet-only), VisionControl, VisionAI and VisionAI Plus. The fee includes hardware, AI software, onboarding and coaching with no large upfront capital cost, and Winnow states most sites recoup the subscription within the first few months. You must request a demo/quote for actual figures.

What is Winnow used for?

Measuring and reducing food waste in commercial kitchens. A camera and scale over the bin automatically identify, weigh and cost every item thrown away, and daily reports show chefs exactly what is being wasted so they can adjust purchasing, production and portions. Winnow claims typical customers halve avoidable food waste and cut food purchasing costs by 2-8% versus their measured baseline.

What are the best Winnow alternatives?

The three most-compared alternatives are Leanpath (longest-established, strong in contract catering and institutional kitchens), Orbisk (fully automatic tracking with ingredient-level recognition of mixed waste) and Kitro (Swiss in-bin AI camera-and-scale unit popular with European hotels). All four are quote-priced enterprise systems rather than off-the-shelf software.

Who is Winnow a good fit for?

Hospitality operations that prepare food at scale: hotels and resorts, contract caterers, cruise ships, casinos and corporate dining - it is used by IKEA, Hilton, Marriott, Accor and Mandarin Oriental across 3,500+ sites in 94 countries. Packages span from cafes with under $50,000 in annual food costs (tablet-only Track tier) up to large kitchens spending $500,000+; a small independent restaurant with minimal prep waste will struggle to justify an ongoing subscription.

Pricing and feature details verified July 2026from vendor websites and public review platforms. Adoption figures come from RestaurantTools.ai's scan of US restaurant websites and reflect detectable integrations only.