Three scanning modes. One view of the food journey.
The Metron AI Scanner works at three points: before food reaches the guest, while it’s served and eaten, and after the guest is done. Together they show where food is lost, what guests actually eat, and what to change.
What each mode captures.
| Mode | What it captures | Main use | What you learn |
|---|---|---|---|
| Back-of-House Waste | Prep waste, discarded ingredients, production waste | Find avoidable losses before food reaches the guest | Prep technique, spoilage, storage, purchasing, yields |
| Consumption Tracking | Food sent to service, what guests took, what was left | Measure real demand and overproduction by item | Batch size, refill timing, popularity, forecast accuracy |
| Post-Consumer Plate Waste | Food left on plates, plus optional guest feedback | Understand plate waste and the dining experience | Portion size, recipe acceptance, guest satisfaction |
Find avoidable losses before food reaches the guest.
A scanner in the kitchen records food discarded before service. Staff scan prep scraps or discarded food and tag the item and reason, so every loss has a cause attached.
What teams track
- Trim and usable product lost during prep
- Spoilage, expired inventory, and prep mistakes
- Prepared food that never reaches the line
- Waste quantity and, with food-cost data, what it costs
- Prep waste compared with expected usable yield
How teams use it
- Improve purchasing and storage based on recurring patterns
- Review recipe yields, prep standards, and portioning
- Coach teams when technique creates unnecessary loss
- Prioritize the highest-cost waste hotspots
- Track whether corrective actions are working
Measure real demand, item by item.
At the service station, staff scan food as it goes out and what comes back. Metafoodx turns that into production, consumption, and leftovers for every menu item, so demand is measured instead of guessed.
What teams track
- AI identification of menu items and pans
- Net food weight and temperature on every scan
- Food sent to service and food left at the end
- Consumption and overproduction by item, daypart, station, and venue
- Scan images next to dish analytics, to check portions and consistency
How teams use it
- Right-size first batches and backup pans
- Time refills to real demand, without running out
- Spot items that sell out early or end with excess
- Compare forecast with actual to improve the next plan
- Freshness Alerts time every pan; Overproduction Alerts flag items over your threshold
- Weekly reports name the top five overproduction drivers at each site
See what guests leave on the plate, and why.
A guest-facing scanner captures what comes back on plates. It closes the gap station scans can’t explain and connects plate waste to portions, recipes, and the dining experience.
What teams track
- 3D vision identifies plate waste and records leftover weight
- Plate scans take about two seconds
- Optional guest ratings and feedback
- Items with the most leftover weight, over time
- On-screen messages and a running weekly waste total for guests
How teams use it
- Tell oversized portions apart from recipes guests don’t like
- Test a smaller default portion or serving utensil, then measure
- Compare plate waste across meal periods and locations
- Use feedback as another input on menu changes
- Engage guests in sustainability with measurable results
Decisions from the floor, coverage beyond fixed scanners.
The Mobile App puts live data in chefs’ and managers’ hands during service, and brings Metafoodx workflows to places where a fixed scanner isn’t the right fit. Start with fixed scanners at your highest-volume points, then extend coverage with mobile workflows, all on the same menu, dashboard, and reports.
- See which items are running low and whether to cook another batch
- Spot slow movers and delay or shrink the next refill
- Catch scanning gaps while service is still running
- Review recent scans and images from the floor
- Download and share reports from your phone
- Extend tracking to satellite kitchens, catering, and pop-up service points
One connected system, from capture to action.
Fixed scanners give standardized measurement at your highest-value points. The Mobile App extends coverage. Integrations bring in menu plans, the dashboard handles analysis and planning, and measured results feed the next production decision.
Find the real cause, then fix it.
A high leftover number can come from overproduction, demand dropping late in service, oversized portions, or a dish guests don’t like. Looking across all three modes shows which one it is.
| Challenge | How the three views help | What to do |
|---|---|---|
| Overproduction | Compare what was produced, consumed, left at the station, and left on plates. | Cut production, first-batch size, or backup pans. |
| Forecast misses | Compare forecast demand with actual production, consumption curves, and leftovers. | Refine forecasts using comparable dayparts, events, and guest counts. |
| Large end-of-service leftovers | Find items left at the station even when plate waste is low. | Cut late-service refills or stop producing sooner. |
| High plate waste | Compare strong consumption on the line with food returned on plates. | Review portion size, utensils, recipe execution, or acceptance. |
| Run-outs on popular items | Find items with fast consumption and low leftovers. | Increase or speed up production for similar services. |
| Freshness and quality | Combine scan temperature, production timing, and consumption speed. | Adjust batch timing and holding practices. |
| Prep loss | Compare pre-consumer loss with actual downstream demand. | Improve prep standards, yields, purchasing specs, or coaching. |
| Purchasing | Use prep loss, production, and consumption to see true ingredient need. | Review order quantities, supplier specs, and storage. |
| Catering and events | Compare quantities prepared with consumption for similar events. | Build an accurate production history for the next event. |
| Multi-location gaps | Compare the same items and stations across sites. | Find outliers and share what the best sites do. |
Available workflows and results depend on configuration, consistent scanning, menu mapping, food-cost inputs, and a clear baseline.
Measure. Understand. Act. Predict. Prevent.
Measure what happens, fix the biggest opportunity, and measure again. The goal is to prevent unnecessary production while protecting availability, quality, and the guest experience.
Measure
Capture production, consumption, leftovers, prep waste, plate waste, temperature, and feedback.
Understand
Review patterns by item, station, meal period, day, event, and location.
Act
Adjust purchasing, prep, batch size, refills, portions, recipes, and menu.
Predict
Use consumption history and operating patterns to forecast the next service.
Prevent
Stop unnecessary production before it becomes waste.
See all three modes in your kitchen.
Book a demo and we’ll show you where to start for the biggest impact in your operation.