Delivery Route Optimisation for Midlands Logistics Firm





Client Case Study: Midlands Distribution Services

Delivery Route Optimisation reducing fuel costs by 15% and improving delivery reliability for logistics firm

15%

Fuel Cost Reduction

22%

Route Efficiency Gain

98%

On-Time Delivery Rate

Midlands Distribution Services, operating a fleet of 25 vehicles across central England, was experiencing escalating fuel costs and declining delivery reliability due to inefficient route planning and reactive dispatching.

The Challenge: Manual Routing Creating Cost and Service Issues

The company relied on experienced but manual route planning, with dispatchers creating daily routes based on intuition rather than data. This approach couldn’t account for real-time traffic, delivery window constraints, or optimal vehicle utilisation, resulting in excessive fuel consumption and missed delivery targets.

The core issues were:

  • Fuel Inefficiency: Manual routing created circuitous routes with excessive mileage, driving fuel costs 20% above industry benchmarks.
  • Service Reliability Issues: Without real-time adjustment capabilities, routes failed to account for traffic incidents or changing customer requirements.
  • Driver Productivity Gaps: Inefficient routing resulted in drivers completing fewer deliveries per shift than theoretically possible with optimal planning.

The Solution: Dynamic Route Optimisation System

Edderton Scott implemented a comprehensive route optimisation platform that used advanced algorithms to create efficient delivery sequences while integrating real-time traffic data and customer requirements.

Route Optimisation Process
Delivery Requirements

Optimisation Engine

Driver Navigation

Algorithmic optimisation creates efficient routes while real-time adjustments maintain service reliability.

Phase 1: Data Analysis & System Design

We analysed historical delivery data, vehicle capabilities, and customer requirements to design an optimisation system tailored to the company’s specific operational constraints.

Phase 2: Platform Implementation & Driver Training

The route optimisation platform was integrated with existing dispatch systems, with comprehensive training for both office staff and drivers.

  • Algorithmic route optimisation considering time windows, vehicle capacity, and driver hours
  • Real-time traffic integration with dynamic rerouting capabilities
  • Mobile driver applications with turn-by-turn navigation and proof of delivery

“The route optimisation has been transformative. We’re delivering more with less fuel, our customers are happier with reliable service, and our drivers have clearer instructions. The system paid for itself in fuel savings alone within six months.”

— Richard Bolton, Operations Director at Midlands Distribution Services

The Outcome

Fuel costs reduced by 15% through optimised routing and reduced mileage, saving approximately £28,000 annually. Overall route efficiency improved by 22%, enabling drivers to complete more deliveries per shift without extending working hours. On-time delivery rates improved to 98% as real-time adjustments accounted for traffic incidents and changing conditions. The system also improved driver satisfaction through clearer instructions and reduced unnecessary mileage, while providing customers with accurate estimated delivery windows and real-time tracking.


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