Stop guessing on Monday morning orders. Every Sunday night, AI analyses your 8-week sales history, forecasts exactly what you need next week, and emails a prioritised purchasing report with stockout risk ratings.
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Without a data-driven forecast, you either over-order and throw food away, or under-order and disappoint customers. Both cost money.
Ordering too much because you "played it safe" drains margins. Industry average food waste is 4–10% of cost of goods.
Running out of a key ingredient mid-service forces 86s and damages your reputation with regular guests.
Reviewing last week's numbers, checking stock, estimating quantities — it takes hours of your most productive morning time.
An n8n + Make.com workflow that turns your Google Sheets sales history into actionable weekly purchasing recommendations.
The workflow reads your last 56 days of sales, calculates per-item weekly averages, and identifies whether demand is rising, stable, or declining.
Each item gets a recommended purchase quantity with a safety buffer automatically applied to high-volatility items — no manual calculation needed.
Every item is rated HIGH, MEDIUM, or LOW stockout risk. High-risk items are highlighted at the top of the report so you prioritise the right orders first.
The HTML report lands in your inbox every Sunday at 8pm — formatted and ready to use as your Monday morning order sheet.
Every forecast is logged to a Google Sheets history tab so you can track how your inventory risk profile changes over time.
Track any items you choose. Add or remove ingredients from your Google Sheet at any time — the next forecast automatically reflects your current inventory list.
Log daily sales per item as you normally would. Any format works — the guide shows you the exact column structure.
Schedule trigger fires automatically. No manual action needed from you.
OpenAI forecasts next-week quantities per item, flags risks, and writes a plain-English summary.
Formatted HTML email with risk ratings and order quantities — ready to act on Monday morning.
The workflow calculates average weekly demand per item from your last 8 weeks of sales data, then sends that to OpenAI GPT-4o-mini. The AI factors in demand trends, applies safety buffers to volatile items, and outputs recommended purchase quantities with stockout risk ratings.
Yes — restaurants, cafes, bars, food trucks, catering companies, and bakeries. You define the items you track in Google Sheets, so it adapts to any inventory list.
A minimum of 4 weeks of data produces a basic forecast. Accuracy improves significantly with 6–8 weeks. The workflow automatically uses the most recent 56 days.
By default every Sunday at 8pm. You can change the schedule to any day and time by editing the cron expression in the Schedule Trigger node — no coding required.
The AI flags items as HIGH risk when demand is trending upward or highly variable week-to-week. For these items, the recommended order quantity includes a larger safety buffer automatically.
Each Sunday run uses approximately 2,000–4,000 OpenAI tokens — around $0.02–$0.05 per forecast. A $10 OpenAI credit covers 6+ months of weekly runs.
One-time purchase. Instant download. First forecast this Sunday.
Get Restaurant Forecaster — $69