The prep list and the order guide are where restaurant margin is won or thrown away. These five companies are letting the forecast write them.
The bottom line: Forecasting is the quiet engine under almost every other restaurant AI use. When the sales forecast is right, prep, ordering and scheduling follow. The five Best Forecasting & Inventory AI finalists in the Savor AI 50: The 2026 Restaurant AI Awards are turning point-of-sale history, weather, local events and even camera feeds into the day's prep list and purchase order. Winners are revealed Dec. 1.
The problem forecasting & inventory AI is solving
Restaurants overproduce because running out feels worse than throwing out. ReFED estimates U.S. restaurants and foodservice businesses generated 12.5 million tons of surplus food in 2024, with 1.49 million tons from overproduction and another 1.13 million tons from catering overproduction. More than three-quarters of that surplus went to landfill. ReFED's own playbook for the sector calls for technologies "to improve demand forecasting and minimize overproduction" and smart scales and predictive analytics for just-in-time cooking.
The biggest brands are now saying the same thing out loud. On its Oct. 28 third-quarter call, Chipotle CEO Scott Boatwright said the chain's AI-enabled cook-to-needs tool, which "uses AI-based demand forecast to recommend the right amount of freshly prepared food at the right time," entered pilot in the quarter, is already in more than 500 restaurants and is set to roll out nationally early next year.
I've watched every major restaurant tech cycle since I coined "fast casual," and this is the category where AI pays for itself in the walk-in, not in a press release. The test is simple: did the store prep less, sell out less and order closer to what it actually used?
The 5 Best Forecasting & Inventory AI finalists
Finalists are listed alphabetically. No order or ranking is implied.
Crunchtime
Crunchtime runs back-of-house operations software for multi-unit brands, and its forecast feeds labor, prep and ordering across the suite. When it launched AI Forecasting in October 2024, the company said testing improved forecast accuracy by up to 27% at some locations. In an April 2026 announcement, CEO John Raguin said AI Forecasting helped some customers reach 99% forecast accuracy, as Crunchtime added Voice-Based Inventory that it says lets managers count 3 to 4 times faster. In September 2026 it added Local Events, so operators can feed school events, road closures and other neighborhood factors into each store's forecast.
Nory
Dublin- and London-based Nory builds what it calls a "crew" of AI assistants for forecasting, scheduling, ordering and payroll, all working from one forecast. It raised a $37 million Series B led by Kinnevik in September 2025, bringing total funding to $62.6 million, with U.S. expansion among the stated uses. Nory says its Demand Forecasting Assistant predicts revenue and item sales for every 15 minutes at every location with up to 97% revenue accuracy, and that customers such as Jamie Oliver Group, Black Sheep Coffee and Azzurri typically see 10% to 20% lower labor costs and up to 50% less food waste.
Patty
Patty, built by New York-based Pathway, is an AI operator for restaurant groups that started with the order. Pathway's founders said they began with procurement because "it's where restaurants lose a lot of time and money," connecting sales, recipes and invoices so Patty can work out what each store needs to buy that day. Today, according to Patty, it reconciles invoices, tickets and shifts overnight, factors in weather and local events, and reprices every recipe that touches an ingredient the same night that ingredient's invoice price changes. Its order guides, inventory counts, waste logs and transfers are built for shift leads to use day to day.
PreciTaste
PreciTaste turns its forecast into prep lists, cook calls and orders, and it adds cameras that watch what's actually on the line and the shelf. Its biggest public proof point is Do'Cast, built with Dunkin' franchisee Bluemont Group: cameras count every donut, the AI forecasts demand and the system writes the daily order. PreciTaste reports 25% less donut and Munchkin waste across Bluemont's 90+ Dunkin' stores, more than $8,000 saved per store per year and top sellers in stock at 4 p.m. more than 90% of the time. The company says its forecasting runs at 85% to 90% accuracy from 15-minute intervals up to daily volume.
Winnow
Winnow attacks inventory from the other end of the kitchen: the trash can. Its Vision AI weighs and photographs food as it's thrown away and turns that into daily reports chefs use to change prep and portions. In its 2025/26 Impact Report, Winnow says customers now save more than $100 million in food costs every year across more than 3,500 locations in over 100 countries, and its database holds more than 1 billion food waste images. Contract feeder Guckenheimer cut food waste 64% and saves about $1 million a year using Winnow across hundreds of kitchens.
What this category tells us
The forecast is becoming the operating system. Crunchtime, Nory, Patty and PreciTaste all route one forecast into prep, ordering and labor. The value isn't the number itself; it's that managers stop rebuilding it by hand every morning.
Local context is the new edge. Weather and last year's sales are table stakes. School events, road closures, catering orders and live shelf counts are what separate a forecast a manager trusts from one they override.
Measurement closes the loop. Winnow's finding that most operators underestimate their waste is the reminder: you can't forecast your way out of a problem you never measured.
See every finalist
Best Forecasting & Inventory AI is one of 12 awards in the Savor AI 50. See all 65 finalists across every category, from voice AI to food safety and AI startups. Winners are revealed Dec. 1 on Savor.fm, Fast Casual Nation and the Paul Barron Podcast.
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Art: Generated by Savor AI.