Food waste
Produce what will sell, not what will be thrown away
Cut waste by 20-30% with demand forecasting and stay ahead of food waste regulation.
Food waste is not created when food is thrown away — it is created when it is produced
Food waste in hospitality is the food you buy, prepare or serve that never gets sold: overproduction in the kitchen, over-replenished buffets, expired stock from over-ordering and portions coming back from the dining room. In a multi-site group, most of it is born hours before it reaches the bin — when each site decides how much to produce by gut feeling or by copying last week. That is why awareness campaigns are not enough: as long as production is not matched to the real demand of each dish, day and location, the waste repeats itself service after service. The lever that works is operational — forecast what will be consumed, produce that amount, and measure waste where it is generated. It is also exactly what food waste regulation, such as Spain's prevention-plan law, expects operators to demonstrate.
Where does waste start in a hospitality group?
Four hotspots account for most of the food that gets thrown away — and all four share the same cause: deciding without demand data.
"Just in case" overproduction
Kitchens would rather have too much than run short, and without a reliable forecast they produce out of fear. Each shift's surplus ends up as waste or as stock that never adds up. How forecasting prevents overproduction →
The unmeasured buffet
The buffet is the black box of food waste: it is replenished by feel and nobody weighs what is taken away. What is not measured cannot be reduced. Measuring buffet waste →
Theoretical vs actual consumption, never compared
The recipe costing says how much should be consumed; reality consumes more. If nobody compares the two, waste hides inside the food cost and gets accepted as normal. Theoretical vs actual consumption →
Purchasing and defrosting by gut feeling
Over-ordering creates expiries; defrosting too much means throwing away or improvising. With forecast demand, both the order and the defrost plan match what will actually be needed. Forecast to purchase →
What does food waste regulation ask of operators?
Regulation across Europe is turning good practice into obligation. Spain's food waste prevention law, in force since 2025, is a clear example of where the sector is heading: operators must keep a prevention plan that identifies where waste is generated and how it is reduced; apply the use hierarchy (prevent first, then donate or reuse, and only then discard); and let guests take unfinished food home at no extra charge. Complying with paperwork is bureaucracy; complying with data is profitability — the same system that reduces waste produces the records that back up the plan. The food waste law applied to buffets →
How it is reduced: forecasting, production and measurement
Controliza attacks waste where it is generated, with three pieces that work together — without replacing your ERP or POS.
Demand forecasting
AI that anticipates sales by dish, day, shift and location using POS data, calendar and weather. Purchasing and production start from what is about to happen, not from habit. Forecast →
Production by shift
The forecast becomes a production plan: mise en place, quantities and defrosting per shift. The kitchen produces just enough, with clear instructions. Kitchen →
Buffet measurement
Computer vision and weighing to know what is replenished, consumed and discarded, item by item. What gets measured gets reduced. Buffet →
Results measured with clients
Data from real pilots and projects with multi-site groups, measured against each client's own baseline.
−20-30%
waste during the pilot, measuring before and after
−40%
overproduction when kitchens produce against forecast demand
>85%
defrosting decisions that match the day's actual consumption
Reducing food waste is also R&D: Controliza is developing project IDI-20260117, co-funded by the European Union (ERDF) through CDTI, whose stated goals include reducing food waste in the HORECA sector through multimodal AI forecasting.
Stop paying twice for the food you throw away: once to buy it, once to discard it
Request a Free DemoFrequently asked questions about food waste
What is the difference between shrinkage and food waste?
Shrinkage is every product loss between purchase and sale: trimming, cooking loss, expiries, portioning errors. Food waste is the share of that shrinkage that ends up as discarded food which could have been prevented or put to use. Every reduction plan starts by measuring shrinkage: if you don't know how much is lost and where, no plan will work.
How much waste can realistically be reduced?
In pilots measured with our clients, matching production to forecast demand reduced waste by 20-30% against each client's own baseline, and overproduction by up to 40%. The range depends on the starting point: the more production relies on gut feeling today, the more there is to gain.
What does regulation require from a restaurant or group?
Taking Spain's law as the reference: a waste prevention plan (knowing where waste is generated and what you do about it), applying the use hierarchy — prevent before donating, donate before discarding — and offering guests the option to take unfinished food home at no charge. The production and waste records Controliza generates serve as the documentary base for that plan.
How do you measure waste in a buffet?
By weighing and recording what is replenished and what is withdrawn, item by item. Controliza Buffet automates it with computer vision and weighing: you know which dishes create surplus, in which time slots and at which sites, and replenishment adjusts to the real pace of consumption. How smart replenishment works →
Does this replace my ERP or POS?
No. Controliza is the operational layer: it reads sales from your POS, forecasts demand and turns the forecast into adjusted production and purchasing. Your ERP keeps doing the accounting and your POS keeps selling; waste is reduced in daily execution, which is where it is created.
Results measured with active Controliza clients, against each client's own baseline.
