Enviro-Route

Challenge

Environmental service rounds are often planned on static routes while complaint hotspots and seasonal demand shift daily, which inflates fuel, mileage, and carbon while leaving residents dissatisfied. Supervisors lack a single view that connects workload, vehicle capacity, and SLA risk in near real time.

Solution

Enviro-Route uses machine learning on operational telemetry and service requests to recommend dynamic routes and crew loads that respect constraints and priorities. Councils cut dead mileage, improve first-time resolution, and report defensible efficiency gains to members and regulators.

Key Features