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Enhanced Fleet Dispatch System for Competitive Taxi and Private Hire Operations
  1. case
  2. Enhanced Fleet Dispatch System for Competitive Taxi and Private Hire Operations

Enhanced Fleet Dispatch System for Competitive Taxi and Private Hire Operations

future-processing.com
Transport
Logistics
GPS Navigation

Identifying Challenges in Dispatch Efficiency and Customer Experience for Large Transport Fleets

A prominent transportation provider faces efficiency bottlenecks in managing high-volume taxi and private hire bookings, limited map data accuracy, and insufficient real-time vehicle tracking, leading to decreased customer satisfaction and operational costs. Additionally, their existing mobile booking app lacks responsiveness and feature depth needed during peak seasons.

About the Client

A large, established transportation company managing extensive taxi and private hire fleet operations, seeking to optimize dispatch, improve user experience, and integrate mobile booking solutions.

Goals for Optimizing Dispatch Operations and Enhancing Customer Engagement

  • Develop an integrated dispatch management system capable of handling tens of thousands of daily booking jobs with optimized vehicle allocation based on configurable business rules.
  • Implement real-time vehicle tracking with detailed and up-to-date map information for dispatchers to improve decision-making and customer service.
  • Enhance mobile booking applications (iOS and Android) with streamlined interfaces, real-time vehicle tracking, flexible payment options, and seasonal booking adjustments to meet evolving client demands.
  • Improve application responsiveness and stability to maintain service quality during peak periods such as holidays and special events.

Core Functional System Requirements for Fleet Dispatch and Booking Platforms

  • A centralized server architecture managing high-volume job processing and dispatch operations.
  • A web-based interface for telephonists and dispatch operators featuring detailed, up-to-date maps and vehicle tracking.
  • Algorithm-based dispatch optimization considering zones, vehicle locations, and customer loyalty benefits.
  • Manual dispatch capability allowing operators to assign jobs from enquiry screens.
  • A mobile application (iOS and Android) enabling customers to book taxis, track vehicles via map, select locations, and choose payment methods.
  • Dynamic season-based booking adjustments to handle increased demand during peak periods.
  • Notification and reporting tools to monitor call bounce rates, waiting times, and operational KPIs.

Technological Preferences for System Architecture and Development

Java-based desktop application for core dispatch processing
Web technologies for operator interfaces
Mobile app development for iOS and Android platforms
Google Maps integration for real-time vehicle tracking
Modular backend design for scalability and flexibility

Essential External System Integrations for Seamless Operations

  • Mapping and navigation services (e.g., Google Maps) for route visualization and tracking.
  • Payment gateways for secure customer transactions.
  • Customer loyalty and CRM systems for implementing benefits and managing customer data.
  • Reporting tools for operational analytics and KPI tracking.

Critical Non-Functional System Specifications

  • System scalability to support high-volume dispatching, up to tens of thousands of jobs daily.
  • High performance with minimal latency for real-time vehicle tracking and booking response.
  • Robust security measures to protect sensitive customer and operational data.
  • 24/7 system availability with reliable uptime and disaster recovery protocols.
  • User-friendly interfaces designed for fast adoption by operators and customers.

Projected Business Benefits from Fleet Dispatch System Enhancement

The implementation of the upgraded dispatch and booking platforms is expected to improve operational efficiency, reduce call center bounce rates, and enhance customer satisfaction. It aims to handle peak season demand more effectively, leading to increased booking volume and client retention, with measurable improvements in service responsiveness and driver utilization metrics.

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