DEMO

AI Route Optimizer (Simulator)

Test optimized routes before implementation

Sophisticated routing simulation system that uses historical data to model optimized crew routes without requiring real-time GPS integration. The system analyzes past performance, traffic patterns, and service durations to create theoretical optimal routes, showing potential savings of 20-30% in drive time. Provides safe testing environment before live implementation.

Key Metric

Route efficiency

25% less drive time

Improvement

25% less drive time

Measurable impact

Business Value

2 hours saved per crew/day

Estimated annual impact

Interactive Demo

Experience how this AI feature will work in production

Demo In Development

Interactive demo is currently being built and will showcase real-time functionality.

Estimated build time: 2-3 weeks

Key Features

Historical route analysis
Traffic pattern modeling
Service time prediction
Multi-crew optimization
Weather impact factors
What-if scenarios
Comparison visualizations
Efficiency metrics

Technical Architecture

Core Capabilities

  • Machine learning on 3 years of route data
  • Constraint satisfaction algorithms
  • Monte Carlo simulation for uncertainty
  • Google OR-Tools for optimization
  • Interactive map visualizations

Technology Stack

Python
OR-Tools
TensorFlow
Mapbox
FastAPI

Required Integrations

Google Maps API
Historical Data API
Weather API