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Web Platform for Real-Time Fleet Management and Deployment Optimization
  1. case
  2. Web Platform for Real-Time Fleet Management and Deployment Optimization

Web Platform for Real-Time Fleet Management and Deployment Optimization

teacode.io
Logistics
Transport
Supply Chain

Identifying Challenges in Fleet Monitoring and Deployment Management

The client faces manual and inefficient processes in managing a large fleet of delivery vehicles across multiple urban locations. They need real-time visibility into vehicle locations, statuses, and usage to optimize deployment, reduce downtime, and improve service availability. Existing systems lack scalability and do not provide integrated monitoring of vehicle activity, battery levels, maintenance needs, or parking spot management, leading to operational inefficiencies and limited ability to scale geographically.

About the Client

A growing logistics company managing a fleet of delivery vehicles across multiple cities, seeking to optimize vehicle deployment, monitor real-time activity, and improve operational efficiency.

Goals to Enhance Fleet Operations and Scalability

  • Develop a scalable web platform providing real-time tracking of vehicles, including location, status, and usage metrics.
  • Enable dynamic filtering and monitoring of fleet data based on parameters like vehicle status, battery levels, and geographic location.
  • Implement a management system for optimizing parking spots and vehicle deployment based on data-driven insights.
  • Design an intuitive, user-friendly administrative interface to streamline fleet management tasks.
  • Ensure high-performance system operation capable of handling large volumes of real-time data without delays, supporting fleet expansion into additional cities.

Core Functional Specifications for Fleet Management Web Platform

  • Interactive map with real-time vehicle location and operational status visualization using mapping technologies like Mapbox.
  • Real-time monitoring of vehicle data including location, battery status, and usage history.
  • Advanced filtering options to sort and manage fleet vehicles based on criteria such as battery level, vehicle health, and location.
  • Parking spot management system to monitor, identify underutilized or high-demand parking areas, and suggest new spots based on live data.
  • Scalable architecture to support fleet growth across multiple cities without performance degradation.

Preferred Technologies and Architectural Approaches

Mapbox for dynamic mapping and geospatial visualization
Real-time data handling using scalable backend solutions (e.g., WebSocket, MQTT)
Cloud infrastructure supporting high load and scalability

External System Integrations Needed

  • GPS and telematics systems for vehicle location and status updates
  • Battery management and maintenance systems
  • Existing parking or geo-fencing tools for park spot management

Non-Functional System Criteria

  • Scalable architecture to support fleet expansion across multiple cities
  • High performance with minimal latency even under heavy data loads
  • Reliable, secure data handling with appropriate access controls
  • Responsive interface optimized for ease of use for fleet administrators

Expected Business Outcomes and Benefits

The implementation of the web fleet management platform is expected to significantly improve operational efficiency by providing real-time visibility and control, reducing fleet downtime, and optimizing vehicle deployment. This scalability and data-driven management approach aim to increase fleet availability, improve service quality, and support rapid expansion into additional markets, leading to higher customer satisfaction and business growth.

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