General
Weather-Driven Inventory & Demand Forecast Engine
openweather fetches current conditions and 5-day forecasts for store locations; sqlite stores historical sales data and inventory levels; the joins weather signals with sales history to predict demand spikes (e.g. umbrellas before rain, ice cream before heat waves) and generates reorder recommendations. The product closes the loop from weather signal to actionable purchase order suggestion without a custom ETL pipeline.
Tools connected
- SQLite
- OpenWeatherMap API
What it automates
sqlite.query(historical_sales_by_weather_condition) →.correlate_and_predict
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