Home centers, hardware stores and other DIY retailers often see dramatic sales fluctuations based on when and where customers decide to work on their lawns & gardens, exterior maintenance, indoor projects, and more.
DIY retailers can integrate predictive Weather-Driven DemandSM (WDDSM) analytics into existing processes and technology solutions to grow profit margins through increased sales and lower costs.
For planning and allocation, WDD metrics help remove the weather bias from plan baselines and calculate year-over-year plan adjustments to keep businesses from inadvertently “chasing” last year’s weather-based sales impacts ultimately minimizing unproductive inventory and markdowns while limiting lost sales.
For in-season replenishment, WDD forecasts enable companies better align store-level inventories with shifts in consumer to demand by factoring in how upcoming weather conditions are going to change sales volumes.
For digital marketing, WDD analytics help retailers improve click-throughs, sales, ROAS and more by targeting consumers that are ready to buy with relevant content.
Factoring the Weather into
