Tank space is money. AI can turn your sales history into a demand forecast and a candidate brew schedule, giving you a sensible draft to argue with instead of a blank page.
What it does
Using past sales and seasonality, it can forecast likely demand for each beer and propose a brew schedule that respects tank availability and turnaround times.
How it works, in brewing terms
It reads the pattern in your history: which beers sell when, how demand moves with the seasons, and how long each beer ties up a tank. From that it drafts a plan.
What you need to start
Sales history by beer over time, your tank count and turnaround times, and any fixed commitments already on the calendar.
"Here are 18 months of monthly sales by beer and my four fermenters with typical turnaround times. Draft a brew schedule for the next quarter that avoids stockouts on my two core beers."
Keeping the brewer in control
The forecast is a starting point, not an order. Review it every cycle and override the model for events it cannot see: a festival, a tap takeover, a new account.
Takeaways
- Forecast demand and draft a schedule from your history.
- Give it sales history, tank count, and turnaround times.
- Treat the plan as a draft to correct.
- Override it for known events the data cannot see.