Forecast demand with sales, weather and mobility signals.
Used by planning teams
13 listings tagged by providers for this use case
Hourly forecasts to 15 days and history back to 1950 for any latitude and longitude via REST API: temperature, precipitation, wind, humidity, solar radiation and more.
Daily prices, discounts, coupons and stock status for tracked SKUs across Indian and Southeast Asian online stores, with pincode-level checks in 40 Indian cities.
Weekly consumer spending for 140 categories and 12 UK regions from consented open-banking connections, with income-band splits, real-terms series and small cells suppressed.
Hourly actual and forecast output for 14,000 European wind farms and solar parks, mapped to owners, capacity and bidding zone, with curtailment and availability flags.
Weekly scanned sales in units and value by SKU and store cluster from 11,800 partner grocery and drugstore outlets in Italy, Spain and France, with price and promotion flags.
Daily visit estimates, dwell times and visitor home-area mix for 410,000 shops, malls and restaurants in Spain and Portugal, aggregated and anonymized with k-anonymity thresholds.
Field-level crop type maps and in-season yield forecasts for wheat, maize, barley, sunflower and rapeseed across the EU, Ukraine, Moldova, Türkiye and Georgia, updated weekly.
Hourly and 15-minute day-ahead and intraday power prices for 38 European bidding zones, with actual and forecast load, cross-border flows and full revision history.
Quarterly survey results from 24,000 opt-in panelists in Brazil and Mexico on shopping, payments, media use, brand consideration and purchase intent, weighted and aggregated.
Hourly waiting times, anchorage queues and berth occupancy for 900 ports, plus analyst-verified alerts for closures, strikes, canal restrictions and severe weather.
Demand forecasting predicts how much customers will buy, where and when, so planners can set inventory, staffing and production. External data improves forecasts most when it explains drivers that your own history cannot.
Retail sales data shows market demand and share by product, store and region, beyond what your own sales reveal. Weather data provides forecasts and history for temperature, rain and other conditions that drive demand in categories from drinks to heating. Foot traffic data shows visits to stores and areas, which helps forecast footfall, staff rotas and local demand shifts.
Ask about history length, granularity and latency, because a driver that arrives too late cannot help a forecast. For weather, check whether archived historical forecasts are available, since testing with observed weather overstates the gain. Confirm that location and product mappings line up with your hierarchy.
Last reviewed on 11 Nov 2026
Describe the result you are after and the data you think you need. Providers reply with proposals and samples.