TL;DR
- Food cost differences across sites are difficult to diagnose without consistent, site-level data.
- Identifying what is being wasted is only the first step. The real value comes from understanding what needs to change to reduce that waste and improve food costs.
- In 2026, the platforms most often considered by multi-site restaurant groups are Orbisk, Winnow, Leanpath, and Kitro.
- When evaluating these systems, group operators typically focus on how deeply the data goes, how waste is captured, how the system is deployed, and whether data is consistent across all locations.
- Published case study data suggests food waste tracking systems typically pay for themselves within 1.1 to 1.8 months, with average annual savings of around €72,000 per site.
Restaurant groups often waste more food than they’d like. But most of that waste is invisible, unattributed to any site, shift, or ingredient, which is why it keeps accumulating.
This guide compares the top food waste reduction solutions, with guidance on criteria to look for and questions to ask. By the end, you’ll know which platform fits your group and how to make the case for it internally.
What to Look For in a Food Waste Reduction Solution
To understand how well a solution will fit your business needs and get maximum results, you need to look beyond the headline features on its website. Here are five criteria to look for when evaluating your options.
Ingredient-Level Data vs. Category-Level Reporting
Knowing the category of what’s thrown away is helpful for telling you the scale of the problem, but ingredient-level identification goes one step further. It tells you exactly what’s being wasted and the reason behind it. That distinction is what helps you take specific action on tackling food waste rather than just managing it.
No Workflow Interruption vs. Staff-Dependent Logging
Any system that requires kitchen staff to be actively involved in the logging process, whether that’s pressing a button or selecting the right waste category, will affect data accuracy and labor efficiency.
In a high-pressure kitchen environment, even small extra steps are easy to skip during busy service periods. Across a restaurant group, that problem only multiplies with each site.
Site-by-Site Visibility vs. Aggregate Portfolio Reporting
As with ingredient-level reporting, being able to analyse your waste per site gives you the specificity you need to tackle the problem. Food waste prevention dashboards should tell you which restaurants are driving the highest variance, down to the day and menu item.
Rollout Speed and IT Independence
A system that needs in-person installation or IT involvement can turn rollout into a months-long project when multiple restaurants are involved. Look for a device that’s easy to self-install on the same day to get up and running quickly.
ESG and CSRD Reporting Compatibility
For restaurant groups with sustainability reporting obligations, manual data doesn’t make sense across multiple sites. CSRD requires measured waste data, not estimates, so the system needs to track CO₂ impact automatically and export it in audit-ready formats.
Food Waste Reduction Solutions for Restaurant Groups
Use the table below for a quick comparison of the AI food waste management platforms before diving into the complete profiles underneath.
At a Glance: How the Leading Restaurant Food Waste Solutions Compare
| Platform | Data depth | Staff input required | Multi-site dashboard | Self-install | ESG reporting | Onboarding support | Best fit |
| Orbisk | 800+ ingredients; weight, cost, waste stream, container type, station, shift | None | Yes | Yes | Yes | 3-month programme | Hotels and contract caterers |
| Winnow | Food type, weight, cost, CO₂e; one item per disposal | None | Yes | No (wall-mounted solutions require a technician) | Yes | 100-day coaching | Groups wanting proven scale |
| Leanpath | Food type, weight, cost, waste stream; depth varies by tier | Varies by tier | Yes | Yes (most) | Yes | Launch + coaching | Mixed kitchen sizes |
| Kitro | Food type, weight, source, timestamp; edible vs inedible | None | Yes | Yes | Yes | Kick-off + quarterly | DACH / smaller groups |
1. Orbisk
Orbisk is an AI-powered, above-the-bin computer vision system that automatically identifies and records every item of food waste. The platform tells you exactly what's being thrown away, then its artificial intelligence and machine learning layer suggests the most impactful actions for preventing food waste.
Standout Differentiator
Many solutions to food waste in restaurants don’t capture and identify waste until it’s in the bin. When an ingredient is mixed with other waste, it can limit accuracy and specificity. Orbisk's camera captures each item before disposal.
“It shows per ingredient what you actually throw away per day - a level of detail we never had before.”
Elly Baak, Head of Nutrition at Leiden University Medical Center
How It Captures Waste Data
A camera mounted above the bin captures every item as it goes in by name, weight, waste stream, container type and cost.
Multi-Site Capability
A single HQ dashboard lets group operators compare sites and drill into ingredient-level waste data across every location. Because every site captures data the same way, benchmarking is consistent across the group. Reports can also be exported at the group level without manual work.
Data Depth
Orbisk identifies food waste at ingredient level across 800+ items with around 90% accuracy, recording each item’s weight and cost instead of grouping waste into broad categories.
For example, instead of logging “vegetables: 400g” for fresh produce, it records separate items like “300g courgette” and “50g lettuce,” each linked to a specific station and shift. This level of real time data makes it easier to see exactly what needs to change in prep, portioning and inventory management.
Staff Adoption
Orbisk doesn’t need any interaction to log waste, so staff don’t need to make any changes to their workflow or spend any extra energy. Staff still need to engage with the food waste reduction initiatives informed by the data, which is where Orbisk focuses its onboarding and coaching.
Integrations
Orbisk supports native integrations with Silverware POS and leading PMS platforms including Mews and Opera Cloud. Groups that want to feed waste data into their own reporting tools or build custom dashboards can use the Orbisk API.
Installation
Orbisk is self-installed and can be set up in minutes. This makes multi-site rollout much easier for restaurant groups deploying across dozens of locations.
Onboarding and Ongoing Support
Orbisk provides a structured three-month onboarding programme with a dedicated Success Manager. The programme covers team training and a tailored waste reduction plan, with regular check-ins throughout. Ongoing Impact Coaching continues after onboarding to maintain momentum across sites.
ESG Reporting
Orbisk automatically tracks food waste and CO₂, creating audit-ready reports without manual data collection to reach your sustainability goals. Exports support frameworks like CSRD and GRI 306, which helps restaurant groups avoid the extra work of combining waste data manually across multiple sites.
Trusted By
Orbisk is active across 1000+ professional kitchens in EMEA, the US, and APAC. Global hospitality sector groups using the platform include Accor, Marriott, Hyatt, Raffles, Mercure, and Andaz.
Results Benchmarks
Orbisk customers typically see up to 70% waste reduction, ROI within four to eight months, and two to ten times return on investment. Based on a published cohort of nine sites tracked over 12–15 months, those sites cut waste by a median of 33% (range 25–67%) and saved an average of €72k per year. At portfolio scale, Accor's 200+ Orbisk locations average 33% waste reduction and €54k in annual savings per property.
Best Fit For
Orbisk is a strong fit for multi-unit restaurant groups, hotels, and contract caterers that need consistent, ingredient-level waste data across every site without adding extra steps for kitchen staff. Because the food waste system captures data automatically, accuracy is consistent across all shifts and locations without relying on staff behaviour. This makes group-wide benchmarking more reliable.
Limitations
Orbisk currently has a smaller footprint than older solutions like Winnow (trusted by 1000+ kitchens vs Winnow's 3,500+). However, Orbisk is actively addressing this gap with expansion into the US and Asia underway.
2. Winnow
Winnow is an AI food waste tracking platform for commercial kitchens, used by hospitality groups including Hilton, Marriott, Accor, and IKEA.
Standout Differentiator
Winnow is the most widely used platform for managing food waste, present in 3,500+ sites across 94 countries.
How It Captures Waste Data
Food goes into the bin, and the Throw & Go® system captures and identifies the food type while a connected scale records the weight.
Multi-Site Capability
Winnow Hub allows filtering and dashboards for groups, regions or individual sites with cross-site benchmarking.
Data Depth
Winnow captures food type, weight, cost, and CO₂e impact for each disposal.
Staff Adoption
The system logs waste without the need for scanning or any staff input, which could affect overall efficiency.
Integrations
Winnow offers an API on its enterprise plans.
Installation
Winnow describes its hardware as compact and straightforward to install, but it's not clear whether it's self-install or requires on-site support.
Onboarding And Ongoing Support
Each site receives a 100-day kitchen coaching programme and ongoing monthly skill sessions.
ESG Reporting
Winnow provides auditable, site-level food waste data, including weight, cost, and CO₂e avoided.
Best Fit For
Restaurant groups seeking proven scalability and coach-led adoption across a large property portfolio.
Limitations
The system captures only one ingredient per disposal once items are mixed in the bin, which can affect accuracy when mixed items are thrown away together in busy kitchens.
3. Leanpath
Leanpath is a food waste tracking platform for commercial kitchens, used by enterprise operators including Google, Sodexo, Hilton, and Marriott.
Standout Differentiator
Leanpath’s product range spans high-volume central kitchens, smaller standalone sites, and off-site events. For groups where kitchen sizes and volumes vary by property, they need only one platform per site.
How It Captures Waste Data
The capture method varies by product. Floor Scale AI technology automatically identifies waste and uses integrated photography to support root cause analysis. Bench Scale AI also uses computer vision but offers a choice between fully touchless capture or a "smart filtering" mode where the AI narrows options and staff confirm. Scout and Tracker Lite require staff to manually weigh and categorise waste via a guided touchscreen interface.
Multi-Site Capability
Leanpath supports reporting from single sites to the global level on a single platform, with enterprise dashboards and compliance tracking across the portfolio.
Data Depth
Leanpath captures food type, weight, cost, and waste stream for each disposal. There’s also a dashboard to manage your restaurant’s food donations.
Staff Adoption
Lower tiers require staff to weigh and categorise waste, adding extra steps to their workflow. Adoption is likely to be stronger for higher-tier products that automatically capture waste.
Integrations
Leanpath has native two-way integrations with Nutritics, Galley Solutions, and CBORD to link waste data to specific menu items and recipes, enabling better menu planning.
Installation
All Leanpath devices are self-install and can usually be set up in around 30 minutes without special tools. The exception is the Floor Scale, which may require assistance from the facilities team for wall mounting.
Onboarding And Ongoing Support
Setup follows a four-step consultative process before launch, with continued on-site and virtual coaching from chefs and data experts after go-live.
ESG Reporting
Leanpath tracks greenhouse gas footprint alongside food waste data.
Best Fit For
Groups already using Nutritics, Galley, or CBORD that want waste data connected directly to recipe and menu performance.
Limitations
Leanpath doesn't publish category accuracy figures by product tier, so if you use a mix of devices your food loss data may be inconsistent across different sites.
4. Kitro
Kitro is a food waste tracking platform for hospitality kitchens, used by operators including Zürich Marriott, Hyatt Regency Düsseldorf, and Four Seasons Geneva.
Standout Differentiator
Kitro was developed with engineering-focused Swiss university partners, which may instil confidence in the data and device quality for stakeholders.
How It Captures Waste Data
KITRO TARE is a combined AI camera and scale that sits inside the bin. Each time food is discarded, it captures an image and records the weight simultaneously.
Multi-Site Capability
Food loss and waste data are aggregated into a centralised dashboard for cross-site comparison.
Data Depth
The system tracks waste by weight, source, and timestamp and distinguishes edible from inedible waste.
Staff Adoption
Staff throw food away as normal, and the device logs it automatically. Because KITRO TARE sits inside the bin, there's nothing for kitchen teams to interact with.
Integrations
No third-party integrations are listed on Kitro's website, but direct integration with ESG reporting systems is possible.
Installation
Outside Switzerland, Kitro is self-install and takes around 15 minutes. In Switzerland, in-person installation is available for an additional charge.
Onboarding And Ongoing Support
Kitro includes a kick-off session at launch (in person in Switzerland; virtual in other regions). Ongoing support comes from a dedicated food waste expert, with quarterly goal-setting sessions and data-backed action plans throughout the subscription.
ESG Reporting
Kitro's dashboard includes downloadable reports with CO₂e data for each disposal.
Best Fit For
Groups based in DACH or running a smaller portfolio that want a subscription model that includes hardware.
Limitations
Setup can take up to four weeks, which may slow rollout planning for larger groups. Waste is also only captured once it’s mixed in the bin, which may lead to less accuracy when rubbish is disposed in high volumes.
How to Run a Vendor Evaluation as a Multi-Unit Operator
Vendor demos often focus on core features rather than the operational details that are non-negotiable to restaurant groups. Being prepared and aware of red flags will ensure you get all the information you need.
Questions to Ask in the Vendor Demo
Put these to every vendor before asking for a proposal:
| Questions to ask | Why it matters for restaurant groups |
| How do you measure accuracy, and has it been validated in a high-volume commercial kitchen during a live service? | Small accuracy gaps become large reporting problems when data is rolled up across dozens of sites. |
| Does the system require any change to how staff dispose of waste in the bin? | Workflow changes are harder to enforce consistently across multiple kitchens and shifts. |
| What happens to data capture if a site loses internet connectivity mid-service? | Groups need reliable data capture across sites with different infrastructure conditions. |
| How long does a full rollout take across 20 or 30 sites, and what does that timeline depend on? | Rollout delays slow down ROI and operational efficiency. |
| What's included in onboarding, and what does support look like after the first three months? | Multi-site adoption usually depends on long-term support, not just initial setup. |
| Which POS and PMS systems does the platform integrate with natively, and does it offer API access for custom reporting? | Group operators often need data to flow into existing reporting and finance systems. |
Warning Signs to Watch For
Strong answers in a demo don’t always translate into smooth rollout or reliable performance at scale. The warning signs below help identify where that gap is most likely to appear:
| Warning sign | Why it matters for restaurant groups |
| No per-site cost savings based on real deployments | Makes it hard to validate whether ROI will scale across all locations |
| Requires ongoing manual correction to maintain accuracy | Data quality can degrade over time, especially across multiple sites |
| Dashboard only shows group totals, not site-level performance | Problem sites can be hidden inside averages, delaying action |
| Rollout depends on IT availability at each location | Slows deployment and creates uneven adoption across the portfolio |
| Onboarding ends at installation with no ongoing support | Usage and data consistency can drop after the initial rollout without support |
What ROI Looks Like Across a Restaurant Group Portfolio
Reducing food waste is one of the most effective ways you can reduce food costs. This section covers what the numbers look like at a group level and the ROI you can expect.
Cost Savings Per Site: What the Evidence Shows
Across nine published Orbisk case studies measured over 12 to 15 months, average food waste reduction was 38%, while average annual savings reached approximately €72,000 per kitchen. Typical payback periods ranged from 1.1 to 1.8 months.
The four sites below give you a snapshot of individual figures:
| Case study | Period | Waste reduction | Monthly savings |
| Fairmont Makkah | 12 months | 67% | €11,250 |
| Raffles Dubai | 12 months | 60% | €6,750 |
| Mövenpick Bur Dubai | 15 months | 30% | €18,750 |
| Mercure Amsterdam | 12 months | 34% | €3,900 |
Results mainly depend on two factors: how much avoidable food waste a kitchen has before rollout, and how actively the team uses the data to reduce it. Menu complexity can also affect results, especially in kitchens with changing specials or large buffet operations. If you're making the case to finance, these variables are worth flagging upfront.
Modelling the Business Case Across Multiple Sites
The financial impact becomes much larger at the group level because savings add up across locations. Using the published average of approximately €72,000 in annual savings per kitchen, a 20-site restaurant group would be looking at potential annual savings of around €1.44 million.
Even using the lowest monthly figure from the examples above (€3,900 per month at Mercure Amsterdam), a 20-site rollout would still equate to roughly €936,000 in annual food cost savings.
The Cost of Waiting
The average monthly saving across Orbisk's published cohort is €6,012 per site. For a 10-site group, a 12-month delay in acting on food waste reduction represents around €720,000 in unrealised savings.
Building the Internal Business Case for Sign-Off
Once you've identified the right device and software solution, securing internal sign-off usually means making the case to multiple teams. The framing that works for operations leadership is different from what lands with procurement and finance.
Framing for the COO
Food loss measurement helps identify the sources of food cost differences across multiple sites. Without ingredient-level data, it’s difficult to compare performance across locations or understand what drives variance in monthly results.
Orbisk provides ingredient-level data across all sites, showing where waste occurs and which locations generate it. In many cases, the system pays for itself within the first quarter.
Framing for Procurement and Finance
Annual costs for Orbisk are typically €5,000 to €8,000 per site, or around €14 to €22 per day, depending on the plan. Payback is achieved when daily avoidable waste reduction exceeds that cost.
For finance teams, this should be viewed as part of the food cost line. When food costs are above target, the data helps explain why and where to act to improve efficiency and margins. Across multiple sites, the same data can also support sustainability reporting.
Why Orbisk Works Where Other Food Waste Solutions Don't
Three capabilities separate Orbisk from the other platforms in this guide.
The Only System That Captures Waste Before It Hits The Bin
Several systems on this list use above-bin cameras, but Orbisk is the only one that captures before items enter the bin, meaning each is identified individually before mixing. This level of accuracy matters because it allows waste to be linked directly to specific ingredients and kitchen decision-making, rather than broad categories. It makes it easier to identify where waste is coming from and take targeted action to reduce food costs across multiple sites.
Group-Level Visibility With Site-Level Precision
The system uses a single, consistent data method across all bins, sites, and shifts, allowing group leaders to compare performance across locations without variation in how data is collected. This makes it easier to spot when a site starts to underperform, with actionable insights to tackle it before the issue grows.
A Deployment Model Designed for Scale
Same-day installation with no IT dependency means a group can start tracking multiple sites simultaneously, while the three-month onboarding programme ensures each site captures useful data from day one.
Crucially, data capture doesn't depend on staff behaviour. Every disposal is recorded automatically, even during the busiest service, so you can start tracking instantly. Together, this makes it easier to deploy across large, multi-site operations without creating bottlenecks for IT or kitchen teams.
Frequently asked questions
What is the most effective food waste reduction solution for restaurant chains?
For multi-unit restaurant groups, the most innovative solutions capture food waste at the ingredient level without changing kitchen workflows. This makes it easier to reduce food waste across multiple restaurants and improve food waste management at scale.
Above-bin AI systems like Orbisk identify each item before it reaches the waste bin, with no manual input from staff. When this level of automation is in place, food waste data becomes consistent, and food waste reduction is easier to measure and repeat across a full restaurant portfolio.
How does AI food waste tracking work in a commercial kitchen?
AI food waste tracking uses a camera and a scale to identify discarded food, measure its weight, and link it to cost. These AI tools help hospitality teams understand excess food waste and improve operational efficiency.
There are two main approaches to AI-based restaurant food waste management: above-bin capture, where food is identified before it is discarded, and in-bin capture, where food scraps are recorded after disposal. Above-bin systems tend to deliver more accurate data because items are still identifiable before they become mixed waste.
How long does it take to see ROI from a food waste solution across multiple restaurant sites?
Orbisk customers typically see up to 70% waste reduction, ROI within four to eight months, and two to ten times return on investment. At the group level, these savings compound across sites. A 20-site restaurant group can therefore achieve full portfolio payback quickly, with ongoing savings driven by reduced food waste, lower food costs, and improved management of surplus food waste over time.
What is the difference between Orbisk and Winnow for restaurant groups?
Both platforms offer AI food waste reduction solutions with multi-site dashboards and automated waste tracking. The main difference is when food is captured. Orbisk identifies food before it enters the bin, which supports ingredient-level accuracy across large menus. Winnow’s system captures food waste as it is discarded in the bin and logs one category per disposal.
Do food waste tracking systems require staff training to work?
It depends on the system. Some food waste management systems require staff to log waste or interact with the bin, which depends on ongoing compliance. This is harder to maintain in busy restaurant operations.
Fully automated AI solutions like Orbisk don’t require staff training for daily use. Onboarding focuses on how culinary teams use the data to reduce waste, improve portion sizes, and make better operational decisions.
Can food waste software support ESG and sustainability reporting?
Yes, but only if the system captures food waste directly rather than relying on manual logging or estimates. When waste is measured automatically at the ingredient level, it can be linked to carbon footprint and greenhouse gas emissions with greater accuracy. This makes it suitable for frameworks like CSRD, IFRS S2, and GRI reporting, which require traceable, auditable data
How quickly can a food waste solution be deployed across multiple restaurant locations?
Deployment speed varies. Some AI in food waste management solutions are self-install and can be set up the same day, with no need for technicians or changes to existing systems. Others require on-site installation at each restaurant, which slows rollout across larger groups. Faster deployment helps restaurant operators reduce waste sooner and start saving money across all sites.
What data should a restaurant group expect from a food waste tracking system?
At a minimum, food waste tracking systems should show weight and cost per item, broken down by station and shift. More advanced food waste reduction solutions go further by identifying specific ingredients rather than broad categories.
This helps culinary teams understand exactly where food is being wasted to adjust food production and improve demand forecasting. Many operators now also expect CO₂ tracking and ESG-ready exports as part of standard food waste management.
