{"id":1279,"slug":"weather-data-canadian-retailer-47pct-56pct","title":"Peer-reviewed Canadian retailer study — adding weather data explained up to +47% of variance for individual products, +56% for product categories","kind":"reference","scope":"business","status":"current","audiences":["kevin","smb-owner","candid-team"],"topics":["open-data","data-infrastructure","weather-data-demand"],"reference_body":"**Claim:** A **peer-reviewed study of a Canadian retailer** found that adding weather data explained up to an **additional 47% of variance for individual products** and up to **56% for product categories** in sales forecasts.\n\n**Source:** https://www.sciencedirect.com/science/article/pii/S2949863524000013\n\n**Confidence:** Verified (peer-reviewed).\n\n**Why this matters for Candid:** The defensible academic backup for weather-driven demand forecasting in retail. Useful counterweight to the industry-association [[nrf-weather-3-4pct-retail-1trillion]] figure — academic + Canadian-context + product-level granularity.","rationale_body":null,"metadata":null,"links":{"outgoing":[{"slug":"nrf-weather-3-4pct-retail-1trillion","title":"NRF estimates 3.4% of all retail sales are directly impacted by yearly weather changes — ~$1 trillion USD annually","kind":"reference","scope":"business","link_type":"relates-to"}],"incoming":[{"slug":"research-brief-data-driven-tools-smb-june-2026","title":"Research brief: live data and data-driven tools for SMBs — when it's an edge, when it's overkill (June 2026)","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"caveats-data-driven-tools-vendor-self-reported-and-large-enterprise","title":"Caveats for the data-driven-tools brief: vendor self-reporting on conversion; enterprise-scale benchmarks; named-user quotes; macro projections","kind":"reference","scope":"business","link_type":"relates-to"}]},"created_at":"2026-06-20T16:57:38.895Z","updated_at":"2026-06-20T16:57:38.895Z"}