Winter-Grit AI

Challenge

Winter service planning often relies on static gritting routes that cannot adapt quickly to hyperlocal temperature variation, moisture, and late weather shifts. This leads to overtreatment in low-risk corridors and delayed treatment in high-risk stretches where black ice forms first.

Solution

Winter-Grit AI fuses live weather feeds, road-temperature models, and Mapbox network intelligence to generate optimal pre-ice treatment plans in near real time. Supervisors can dispatch safer, shorter, and better-timed gritting runs while evidencing treatment decisions for governance and claims defence.

Key Features