AI Demand Forecast
AI Demand Forecast predicts covers, revenue and order counts for each of the next 7 days using a Prophet time-series model trained on your historical order data, with a confidence rating (High/Medium/Low) per day so you know how much to trust each prediction.
Overview
Each forecasted day shows predicted Covers, predicted Revenue, and predicted Orders, along with a day-of-week label and a weekend flag.
A Confidence badge (HIGH/MEDIUM/LOW) is computed from the model's prediction interval width relative to the point estimate — a tight interval means HIGH confidence, a wide one means LOW.
The underlying prediction comes from a Prophet forecasting model (the same family of forecasting algorithm used in general time-series demand prediction), trained server-side on your restaurant's historical covers data, then converted here into covers, revenue and order estimates using your recent average revenue-per-cover and pax-per-KOT figures.
Use this to inform prep quantities, staffing levels, and purchasing for the coming week rather than relying purely on gut feel or last week's numbers.
Before You Start
- You must have the Reports feature enabled on your plan.
- The forecast quality depends on having enough historical order history — a newly opened restaurant with little data will see wider confidence intervals (more LOW/MEDIUM confidence days) until enough history accumulates.
Step-by-Step Guide
1 Review next week's forecast
- Open AI Demand Forecast to see the 7-day prediction.
- Check each day's Confidence badge alongside its predicted Covers, Revenue and Orders.
- Weight HIGH-confidence days more heavily than LOW-confidence ones when planning.
2 Plan staffing and prep around the forecast
- Identify predicted weekend or peak days from the forecast.
- Cross-check against your usual staffing and prep levels, and adjust for days showing a notably higher or lower predicted covers count than typical.
Every Field & Button, Explained
| Field / Button | What it does |
|---|---|
Predicted Covers / Revenue / Orders | The model's point estimate for each of the next 7 days. |
Confidence (HIGH/MEDIUM/LOW) | Derived from the width of the prediction interval relative to the estimate — narrower interval means higher confidence. |
Weekend flag | Marks Saturday/Sunday forecasts distinctly, since restaurant demand patterns typically diverge from weekdays. |
Tips & Best Practices
- Treat LOW-confidence days as a rough guide only — don't over-commit prep or staffing purchases based on a single low-confidence prediction.
- Revisit the forecast periodically through the week rather than only once — as more recent orders come in, near-term predictions typically firm up.