Peer-reviewed Canadian retailer study — adding weather data explained up to +47% of variance for individual products, +56% for product categories

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.

Source: https://www.sciencedirect.com/science/article/pii/S2949863524000013

Confidence: Verified (peer-reviewed).

Why this matters for Candid: The defensible academic backup for weather-driven demand forecasting in retail. Useful counterweight to the industry-association NRF estimates 3.4% of all retail sales are directly impacted by yearly weather changes — ~$1 trillion USD annually figure — academic + Canadian-context + product-level granularity.