POURCASTER EVENT BEVERAGE FORECASTING

PourCaster™

Predict. Pour. Perfect.

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Inventory-based tracking · Open-Meteo weather lookup
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Event inputs

City / ZIP code

Date

Start time

Sales hours

Last year baseline

Attendance last year

Alcohol tickets

Beer gallons

White wine 9L cases

Red wine 9L cases

Spirits 9L cases

Other / RTD 9L cases

Projection assumptions

Population growth vs last year

Percent. Later: fetched by city/ZIP.

Event momentum adjustment

Marketing, venue change, ticket trend, etc.

Weather outlook

Event type

Alcohol format

Food availability

Day/time profile

Intensity override

Drinking intensity will be predicted from event type, tickets per attendee, sales hours, day/time, food, format, and weather.

Back-stock insurance

Percent added on top of base forecast.

Safety round-up

Next options

Forecast confidence

Supplier return policy

Expected high temp °F

Rain probability %

Weather lookup not run yet. Uses Open-Meteo geocoding and forecast data when available.

Weather sources to check

National Weather Service / weather.gov Open-Meteo Commercial provider placeholder

Projected attendance

—

Waiting for inputs

Demand lift

—

growth + weather + intensity

Back-stock

—

insurance buffer

Runout posture

—

forecast stance

Projection notes

Run the projection to see assumptions and planning notes.

PourCast Live — event tracking

Inventory-based tracking: staff count what remains, PourCast calculates consumed volume and burn pace.

Current time

Attendance so far

Alcohol tickets so far

Beer remaining gallons

Beer back-stock released gallons

Beer helper: partial keg %

White remaining full cases

White loose bottles

White back-stock released cases

Red remaining full cases

Red loose bottles

Red back-stock released cases

Spirits remaining full cases

Spirits loose bottles

Spirits back-stock released cases

RTD remaining full cases

RTD loose bottles/cans

RTD back-stock released cases

Run live tracking to see runout and leftover risk.

No checkpoints saved yet.

Post-event actuals

Enter final consumed quantities to compare forecast vs actual and create a cleaner next-year baseline.

Final beer gallons

Final white wine 9L cases

Final red wine 9L cases

Final spirits 9L cases

Final other / RTD 9L cases

Final attendance

Enter final actuals to compare forecast vs actual.

Supplier shopping list

Run the projection to generate a supplier-ready order list.

Next legitimate data tasks

Population growth

For v2, fetch city/ZIP year-to-date or latest annual population/visitor proxy and compare against last year's event period. Use it as one attendance-lift factor, not the only factor.

Weather confidence

For v2, blend 3 sources — NWS/weather.gov, Open-Meteo, and a commercial provider — then map temperature/rain/storm risk into commodity-specific demand changes.