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AI Inventory Forecasting

Predicts tomorrow's prep list from your sales, schedule, and weather.

Model version: inventory-forecast-v1.2 Methodology contact: Head of Data Science
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ROI

Pilot in progress

N=23 trucks, started 2026-01-15, readout expected 2026-06-30. We will not publish a number until we have one.

What it does

Reads historical POS sales, published TruckSchedule, local weather forecast, and day-of-week patterns. Outputs a per-SKU prep recommendation for the next service window — how many proteins to thaw, how many tortillas to press, how much produce to prep. Operator confirms and adjusts before prep starts.

Who it is for

  • Single Truck
  • Small Fleet

Integrations

What this feature doesn't do

  1. Forecasts degrade in the first 30 days while the model learns the truck patterns.
  2. Major weather events need operator override.
  3. New menu items have no history and revert to a category-average estimate.
  4. The forecast is a recommendation; the operator still walks the cooler.

Pricing

Included with Operator Pro.

See all plans

FAQ

How long does AI Inventory Forecasting take to learn my truck?
Roughly 30 days. The model needs to see a full cycle of weekdays, weekends, and weather patterns before its recommendations stabilize.
What does AI Inventory Forecasting cost?
Pricing is transparent on the pricing page. Most features are included with Operator Pro. There is no demo gate on headline price.
Is the model version pinned?
Yes. AI Inventory Forecasting runs on model version inventory-forecast-v1.2. We disclose this on every page and in JSON-LD softwareVersion.
What integrations does it require?
Required integrations: square, toast, clover, noaa-weather.
What does this feature not do?
Honest caveats: Forecasts degrade in the first 30 days while the model learns the truck patterns. Major weather events need operator override.

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