Jun 30, 2026 8 min. read

Winnow vs Orbisk: A Side-by-Side Comparison for Hotel and Catering Groups

Hakon Kleppe
Toggle UI comparing two food waste platforms, Winnow shown greyed out and unselected, Orbisk shown selected with a green highlighted border and cursor click indicator.
TL;DR

  • Orbisk captures food before it enters the bin, while Winnow records waste after disposal. This affects how much detail each system can capture.
  • Orbisk identifies ingredients individually before they mix with other waste, helping create more complete data for benchmarking and reporting.
  • Orbisk can be installed in under an hour with no technician or staff training, while most Winnow devices require installation support.
  • Orbisk customers typically report up to 70% waste reduction, ROI within 4–8 months, and returns of 2–10x their investment.
  • For multi-site operators, the key difference is data quality at scale. More complete waste data can support more reliable benchmarking, food cost analysis, and sustainability reporting.

Choosing a food waste tracking system is about more than reducing food waste. The way a platform measures and records waste affects food cost reduction, sustainability metrics, and how reliably you can benchmark across sites. If the data is inaccurate, those issues can persist for years.

This comparison shows how Orbisk and Winnow perform across five key areas for multi-site hospitality and contract catering groups, from how each system captures waste to their ESG reporting capabilities.

Why This Comparison Matters for Multi-Site Operators

For multi-site operators, food waste tracking data informs decisions across your entire portfolio, from designing menus and ordering food to how your chefs run prep. Understanding how that data is generated matters as much as understanding what the platform does. 

This can be challenging, as vendor pages often don’t present details like how they capture waste or how consistent that data is across locations in a way that’s easy to compare. This article brings them together in one place, so you can evaluate Orbisk and Winnow against the same criteria.

Feature Comparison Table: Orbisk vs Winnow

Here’s a quick overview of how Orbisk and Winnow compare before you dive deeper into the systems below.

OrbiskWinnow
Capture methodOrbisk captures each item above the bin before food goes in.Winnow captures waste inside the bin after food has been thrown away.
Ingredient recognitionThe computer vision system identifies 800+ ingredients at around 90% accuracy.Winnow's Vision range recognises 1000 food types+ but doesn't publish an accuracy figure. The system logs one main ingredient per disposal. If multiple items go in together, only one is recorded.
Workflow impact on staffStaff dispose of food as normal. Kitchen workflow stays the same.Staff throw food away as normal on Winnow VisionAI and above. Lower tiers need manual input.
Setup timelineThe device is self-install. A kitchen team member can set it up on the same day, with no IT or technician needed.Winnow Vision range devices are wall-mounted and need a technician for installation. Winnow Track, the tablet-only tier, is simpler to set up.
Reporting granularityOrbisk records each disposal at the ingredient level, with weight, waste stream, container type, station, and shift.Winnow records food type, weight, cost, and CO₂e per disposal at the site level.
ESG reportingEach disposal is recorded with the ingredient name, weight, CO₂e, cost, meal period, and location. Every entry is timestamped and photo-verified. Output is CSRD-ready.Winnow provides site-level weight, cost, and CO₂e avoided. Records are auditable. No specific framework compatibility is published.
Support modelThree-month onboarding includes a dedicated Success Manager and a tailored reduction plan, with ongoing Impact Coaching available after that.100-day kitchen coaching programme with ongoing monthly skill sessions.

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1. How Orbisk and Winnow Capture Waste

Orbisk and Winnow capture waste at different points in the disposal process, producing different types of data.

Orbisk’s Above-Bin Capture Identifies Ingredients Before They’re Mixed With Other Waste

Orbisk homepage showing the hero section with headline "Better data in. Real savings out." alongside a kitchen video demo and a "1,000 professional kitchens worldwide" badge.

Orbisk's camera records each ingredient above the bin before it goes in and mixes with other waste. The built-in AI recognises 800+ ingredients with around 90% accuracy and records the weight, waste stream, and container type for each.

Staff don't need to do anything differently. They bring food to the bin as normal, and Orbisk records it in the background. During the busiest moments of service, when teams are moving fast and there's no time to pause, data capture continues regardless. Your team just works, and the data takes care of itself.

Because each item is seen individually above the bin, the system can distinguish between 3 kg of braised beef and 1 kg of mashed potato in the same disposal. That level of detail is what makes the data useful for spotting patterns across a portfolio, such as which kitchen is over-producing which item and at what cost.

Winnow Captures Items Inside the Bin, When The Waste Has Mixed Together

Winnow's system records each item inside the bin rather than above it. The limitation of inside-the-bin capture is that food mixes as soon as it's thrown in. If a member of staff discards several different items together, the system records one of them. At high disposal volumes, items thrown in earlier can also get buried before they're registered.

Winnow’s AI technology recognises over 1,000 food items, but doesn't provide a figure for its accuracy. The system also logs only one main ingredient per disposal. If a chef throws in braised beef, mashed potatoes, and green beans, at least one of those three appears in the data. 

How many staff are needed at the point of disposal depends on the tier. VisionAI and VisionAI+ are fully automatic, but lower tiers need staff input.

What the Capture Difference Means for Data Reliability

The difference in capture method has direct implications for data reliability. In real professional kitchens, teams rarely discard ingredients one at a time. During buffet clear-downs and station resets, most kitchen teams throw multiple ingredients away together, often mixed with sauces or garnishes.

Because Orbisk captures food before it enters the bin, it identifies each ingredient individually before anything mixes. Once waste is inside the bin, ingredients have already combined, and detailed attribution becomes harder.

For a single site, that may affect only a small portion of the data. Across multi-site operations, it becomes more significant. When only part of the waste is captured at each site, benchmarking becomes less reliable, and you risk building sustainability reporting on incomplete data.

2. How Orbisk and Winnow Compare on Installation and Rollout 

Setup requirements vary between the two systems and impact how long it takes to get up and running.

You Can Install Orbisk Yourself In Under An Hour To Start Reducing Food Waste

Orbisk is freestanding and easy to set up, with no IT involvement or technician required. The device arrives, a member of the kitchen or management team plugs it in, and it starts capturing food waste data the same day. For a 20-site rollout, this means 20 locations can go live on the same day without waiting for engineers or IT resources at each one.

There's no training required for kitchen staff, because there's nothing for them to do differently. To support the rollout, Orbisk's three-month onboarding includes a dedicated Success Manager, a tailored plan to reduce food waste, and regular check-ins, with ongoing coaching available afterwards.

You Need A Technician To Install Most Winnow Devices

All but one of Winnow’s devices are wall-mounted and require a technician for installation, adding lead time at each location. Winnow Track, the tablet-only entry tier, is simpler to set up but lacks scale and offers only basic measurements.

Once live, Winnow provides a 100-day kitchen coaching programme per site, with ongoing monthly sessions. 

3. How Orbisk And Winnow Compare On Savings And ROI

Reducing the amount of food purchased and cutting food costs make kitchens more profitable, and both systems are designed to support that.

Orbisk Delivers ROI Within Months 

Orbisk customers typically see up to 70% waste reduction, with ROI within 4 to 8 months and returns of 2 to 10x the investment. In a 20-site group, modest improvements in each restaurant kitchen can make a real impact on overall group performance.

Total running costs also matter. Because Orbisk captures waste automatically above the bin, it doesn’t add extra work at the point of disposal and doesn’t require retraining when staff change. Data quality stays consistent regardless of who’s on shift, which becomes more important as the number of sites increases.

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Winnow Claims Significant Savings Across Its Customer Base

Winnow claims to halve food waste and generate 2-8% food cost savings, typically within 12 months. $100 million is saved per year across its active customers. 

4. How Orbisk And Winnow Support ESG Reporting

Orbisk and Winnow both produce sustainability data, but the level of detail is different for each food waste solution.

Orbisk Produces Ingredient-Level, Audit-Ready ESG Data For More Sustainable Kitchens

Orbisk records each disposal with the ingredient name, weight, CO₂e impact, cost, meal period, and location. Every entry is timestamped and supported by a photo. You can export the data as a CSV, feed it directly into group reporting tools via API, or download it as a PDF.

The practical value for a portfolio operator is that the data your F&B team generates day-to-day is the same data your sustainability team needs for reporting. You're not compiling it manually from site-level spreadsheets or asking properties to submit their own numbers. It's structured and auditable from day one.

Winnow Provides Site-Level Weight, Cost, and CO₂e Data 

Winnow provides auditable site-level data, including weight, cost, and CO₂e avoided, with cross-site reporting and sustainability dashboards available through Winnow Hub. 

5. Which Customers Reduce Food Costs With Winnow And Orbisk

The companies already using Orbisk or Winnow can give you a sense of how each food waste management system performs in operations similar to yours. 

Orbisk Is Trusted by Major Hotel Groups Across Europe, the US, and APAC 

Orbisk is used by Hyatt, Accor, Marriott, NH Hotels, Carnival, Fairmont, Raffles, and Club Med across 1,000+ kitchens. Accor alone uses Orbisk across more than 200 hotels worldwide.

Winnow Is the Most Widely Used Food Waste Platform in the Waste Tracking Category 

Winnow Solutions' food waste management is used in hotels like Hilton, Marriott, Accor, IHG, IKEA, Mandarin Oriental, Sheraton, Four Seasons, and Radisson Blu, across 3,500+ sites in 94 countries.

Why Portfolio Operators Choose Orbisk To Cut Food Waste

The comparison above shows two systems that are similar in many ways: both are camera-based, both are used by major hotel groups, and both offer significant savings for customers. The difference that matters is where and how food waste capture happens. 

Because Orbisk captures food before it enters the bin, it records ingredients while they are still separate. This creates a more complete picture of what kitchens throw away, helping operators understand what’s driving up food costs.

Orbisk also keeps rollout simple. Sites can install the system the same day it arrives, with no technician and no training for kitchen staff. Teams continue working as usual while Orbisk automatically captures data in the background.

The result is a consistent view of food waste across the portfolio for hotel and catering groups. Instead of relying on estimates, operators can base decisions on measured data and understand what’s happening at each site.

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FAQs

Winnow is an AI food waste tracking platform for commercial kitchens, used by hotel groups and contract caterers, including Hilton, Marriott, IHG, and IKEA. It uses a camera and a connected scale in the bin to automatically record food waste, without requiring manual input from kitchen staff. Winnow operates across 3,500+ sites in 94 countries and offers four product tiers, from tablet-based tracking for smaller kitchens to full AI recognition for high-volume operations.
Winnow's Throw & Go system captures waste inside the bin using a camera and connected scale. When food is discarded, the system automatically records the food type and weight, with no scanning or manual logging required. The Winnow food waste system logs one main ingredient per disposal event; if multiple items are discarded together, one is recorded.
The two systems capture waste at different points, which produces different levels of data. Orbisk captures each item above the bin before it goes in, so every ingredient is identified individually, even when multiple items are discarded simultaneously. It recognises 800+ ingredients at around 90% accuracy. Winnow solutions capture waste inside the bin after disposal, logging the main ingredient for each throw. For kitchens where items are regularly discarded together, Orbisk's above-bin capture produces more complete data.
Yes. Orbisk is self-installed and can be set up in under an hour with no IT involvement. If you're already using Winnow, you'd be replacing hardware at each site rather than migrating a system. Orbisk's Enterprise tier includes an HQ dashboard for centralised reporting across all locations, and the onboarding programme covers how to structure your waste reduction goals from scratch. 
Orbisk can be installed and running on the same day the device arrives. Setup takes under an hour, requires no IT involvement, no technician, and no training for kitchen staff. The onboarding programme, which covers reduction planning and team coaching, runs over three months, but data capture above the bin starts from day one.
Orbisk records each disposal with the ingredient name, weight, CO₂e impact, cost, meal period, and location. Every entry is timestamped and accompanied by a photo. Data can be exported as a CSV file, accessed via the API, or downloaded as a PDF. 

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