EDIX CASE STUDIES

EDIX enhances response times by
56% across a nationwide logistics
network covering over 50 cities

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This organization wanted to transition from traditional fleet management tools that fail to address their bottom-line metrics. Their objective was to optimize the entire process of area zoning, fleet distribution, and vehicle routing to minimize operational expenses while ensuring high service levels.

Challenges

Managing fleet allocation and dispatch across multiple cities depended on a first-come, first-served system with basic trip prioritization methods, leading to delays and unnecessary costs. These practices created significant inefficiencies, increased operational expenses, and compromised service levels.

  • Inefficient driver allocation leading to high operational costs
  • Delays in response times affecting the quality of service
  • Lack of trip prioritization based on ROI resulting in redundant trips and wasted resources
  • Inadequate planning and routing causing inefficiencies in day-to-day operations.
  • Difficulty in meeting service level agreement due to operational bottlenecks.

EDIX Value Delivered

Delivered Capabilities

  • Better predictions through internal & external data fusion
  • Elimination of unnecessary or redundant driver trips
  • Segmentation of destinations for group priority analysis
  • Optimization of drivers’ schedules to improve demand satisfaction
  • Geographic demand forecast for better planning
  • Objective-based prioritization of destinations
  • Multi-destination routing optimization for higher service levels
  • Integration of traffic and mobility data for better route optimization

Replaced Processes

  • Basic fleet management tools used for dispatching and tracking operations
  • Static routing methods that do not integrate daily changes in traffic and demand

Impact

  • 56%

    Improved Response Times for Critical Locations

Customer Benefits

  • Enhanced Fleet Efficiency

    Allocate the right number of drivers to the right place at the right time, maximizing fleet utilization and minimizing operational inefficiencies.

  • Lower Operational Expenses

    Eliminate idle hours and fleet downtimes while optimizing fleet size according to demand to lower waste and operational expenses.

  • Scalability & Sustainability

    Streamline fleet operations across regions and countries, reducing management overhead and enabling scalability and sustainable growth.

  • Better Service Levels

    Optimize zoning, fleet allocation, trip assignments, and routing to reduce average travel times, ensuring timely deliveries and customer satisfaction.

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