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Advanced Last-Mile Route Optimization System for Enterprise Fleets
  1. case
  2. Advanced Last-Mile Route Optimization System for Enterprise Fleets

Advanced Last-Mile Route Optimization System for Enterprise Fleets

profil-software.com
Logistics
Supply Chain
Transport

Identified Logistics Challenges in Delivery Efficiency and Cost Management

The client faces increasing pressure to optimize last-mile delivery routes to reduce driving time, fuel consumption, and carbon emissions. Manually planning and dispatching routes is time-consuming and lacks real-time responsiveness, leading to inefficiencies and rising operational costs. As fleet size expands, platform resiliency and scalability become critical for maintaining service quality and meeting enterprise-level demands.

About the Client

A large logistics company managing extensive fleet operations seeking to enhance delivery efficiency, reduce costs, and minimize environmental impact through optimized routing solutions.

Targeted Outcomes for Enhanced Routing and Operational Efficiency

  • Reduce total driving time and fuel consumption by approximately 30%, leading to lower operational costs.
  • Enable planning and dispatching of delivery waves to be completed in less than one minute to improve responsiveness.
  • Achieve real-time driver tracking and automated location updates to enhance routing accuracy.
  • Support scalable platform architecture to accommodate increased user load and route data, ensuring high availability and performance.
  • Save approximately 207,000 kilograms of CO₂ emissions annually through optimized routing.

Core Functional Capabilities for Route Optimization Platform

  • Route calculation engine utilizing advanced algorithms for optimal delivery sequencing.
  • Quick route adjustment tools with map-based drag-and-drop interface for manual fine-tuning.
  • Automatic route and location updates streamed via Websockets for real-time visibility.
  • Driver tracking dashboard providing live location data and ETA updates.
  • Scenario planning module enabling creation and modification of multiple delivery waves with drag-and-drop reordering.
  • Timeline visualization for job scheduling, allowing drag-and-drop relocation of jobs with automatic map updates and ETA recalculations.
  • Cross-platform mobile application for drivers to receive routes, update status, and report issues efficiently.

Recommended Technologies and Architectural Approaches

Real-time Websockets for live update streams
Platform-agnostic mobile app development
State-of-the-art routing algorithms and vehicle dispatching software
Scalable backend infrastructure, potentially cloud-based

Essential External System Integrations for Seamless Operations

  • GPS and telematics systems for driver location tracking
  • Dispatch and scheduling systems for operational coordination
  • Mapping services and geographic data providers
  • Notification and communication platforms

Non-Functional Requirements Ensuring Performance and Scalability

  • Platform scalability to handle increasing user load and data volume
  • High system availability with minimal downtime
  • Real-time processing capability with updates in under 1 second
  • Data security and compliance with relevant standards
  • Responsive interface for quick route adjustments

Projected Business Benefits from Deployment of Route Optimization System

The implementation of this route optimization platform is expected to enable a 30% reduction in driving time and fuel usage, support dispatching of complex delivery waves within one minute, and result in the annual saving of approximately 207,000 kg of CO₂ emissions. These improvements will significantly lower operational costs, enhance delivery reliability, and support environmental sustainability efforts.

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