Overview
PoolPuma provides AI-generated suggestions for optimizing the order and grouping of route stops to minimize travel time and maximize efficiency.
How it works
The route optimization feature analyzes:
- Geographic proximity of properties
- Historical service duration data
- Technician assignments and availability
- Traffic and distance patterns
Current capabilities
- Suggest reordering stops within a route for shorter travel distance
- Identify properties that could be moved between routes for better efficiency
- Flag routes that may be over- or under-loaded
Route optimization is based on solving variants of the Traveling Salesman Problem (TSP), a key differentiator for PoolPuma.
