Frivind weather-aware retail forecasting
Published 21 March 2023; updated 23 March 2026; 2-minute read. Frivind forecasts store sales using weather conditions, each store’s historical sales, visitor counts and other sales data. A mathematical model estimates how weather affected past demand and how it may influence future sales. Data can feed into existing planning/forecasting systems or be accessed through Frivind’s online platform.
The page says demand shifts with weather, contributing to both sold-out items and overstock/spoilage. It cites grocery-store turnover varying close to 20% with weather and individual product sales varying over 50% during a season. The company says improved demand prediction can help retailers adjust stock, reduce food waste and empty shelves, and improve marketing, financial analysis and profitability.
The solution is described as suitable for grocery, convenience, textile and sporting-goods retailers, as well as hotels, resorts and parks. Market context cites a European grocery-retail market value forecast of EUR 2.2 billion by 2022 (historical estimate). Availability: available. Categories: technology / AI and machine learning; agritech and food production. Linked UN SDG: 12. Public contact: Mads Christensen, Manager, mads@frivind.no. Company: FRIVIND AS, Årøyvegen 7, 6856 Sogndal, Norway; frivind.no. No event listings or participation fees are displayed.
Public phone number revealed by the page control on 8 October 2026: +47 916 38 632.