Case Study: FleetLog — Reducing Logistics Costs by 35% With AI Route Optimization & Predictive Maintenance
Overview
FleetLog operates one of the world’s largest logistics fleets — over 38,000 vehicles and long-haul routes across 17 countries.
Fuel waste, suboptimal routing, and unplanned breakdowns were driving major cost overruns.
Logicwerk deployed an AI-powered fleet optimization platform combining route optimization, demand forecasting, and predictive maintenance.
Challenges
- Rising fuel costs
- High breakdown rate due to reactive maintenance
- Manual route planning with outdated heuristics
- Idle time and long delays
- Large variations in regional demand
FleetLog needed optimization at scale.
Solution: AI Fleet Optimization Platform
1. AI Route Optimization
We built a route planner using:
- Reinforcement learning
- Real-time traffic + weather
- Delivery prioritization
- Truck weight + cargo constraints
Generated optimal routes in seconds.
2. Predictive Maintenance Engine
ML models predicted:
- Component failure
- Tire degradation
- Engine health score
- Breakdown risk per route
Enabled automated repair scheduling.
3. Demand Forecasting Layer
Forecasted:
- Delivery volume
- Regional load
- Seasonal patterns
- Depot congestion
This helped minimize idle time and optimize utilization.
4. Driver Assistant Agent
- Suggested fuel-efficient driving patterns
- Identified risky behaviors
- Auto-generated route summaries
Results
⛽ 18% fuel cost reduction
Optimized routing + efficient driving.
🚛 42% reduction in breakdowns
Predictive maintenance saved millions.
📉 35% reduction in overall logistics cost
Better utilization + fewer delays.
⚡ 14% faster delivery times
Real-time routing updates.
Final Outcome
FleetLog transformed into a data-driven logistics enterprise, optimizing everything from fuel usage to driver behavior using AI.
Work With Logicwerk
We help logistics companies deploy:
- Predictive AI
- Route optimization engines
- Fleet intelligence dashboards