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Real-Time Route Optimization for Construction Logistics
ConstructionApril 10, 2025

Real-Time Route Optimization for Construction Logistics

MCCM Innovations

MCCM Innovations

AI Consultancy Team

22%

Fuel/Subcontractor Cost Reduction

95%

On-Time Delivery Rate

<20s

Dynamic Re-routing Time

Real-Time Route Optimization for Construction Logistics

In the construction industry, logistics is often the hidden engine behind on-time delivery and project success. Our client, a large construction group managing hundreds of truck deliveries per day, needed a smart system to manage both their own and third-party fleet.

The Challenge

The client struggled with:

  • Manual route planning for dozens of daily deliveries
  • Unreliable schedules due to traffic, delays, or truck breakdowns
  • Difficulty prioritizing internal vs. subcontracted trucks
  • No real-time visibility or dynamic reallocation capability

Our Approach

We built and deployed a real-time, constraint-aware route optimization engine:

  • Demand Aggregation

    • Combined planned construction site deliveries with last-minute requests
    • Prioritized deliveries based on construction stage and site urgency
  • Dynamic Routing Engine

    • Used OR-Tools and a custom constraint solver to calculate optimal routes across the fleet
    • Considered truck type, subcontractor constraints, site time windows, and service level agreements
  • Live Status Monitoring

    • Integrated with GPS trackers and incident reporting (breakdowns, delays)
    • Triggered automatic re-routing in seconds if a truck was reported out of service or delayed
  • Control Dashboard

    • Provided dispatchers with a live view of routes, truck status, ETAs, and alerts
    • Allowed for manual overrides with AI-suggested alternatives

Results and Impact

  • 22% reduction in fuel and subcontractor costs
  • 95% delivery punctuality, even in dynamic disruption scenarios
  • Real-time re-routing in <20 seconds upon incident detection
  • Enhanced visibility and reduced dispatcher workload

Key Learnings

  • Real-time routing requires both robust optimization and fast data integration
  • Subcontractor variability must be modeled explicitly for realistic planning
  • Dispatcher trust increased when the system offered explanations behind decisions

Looking Forward

The solution is being extended to include CO₂ footprint tracking and predictive maintenance alerts based on truck telemetry.

Smart logistics is not just about shorter routes — it's about resilient, data-driven planning that adapts instantly when reality changes.