About project

Fleeto is an IoT-powered fleet management platform designed to give logistics operators better visibility and control over vehicles, trips, drivers, and day-to-day fleet operations.
The system combines real-time GPS and IoT data with automated dispatching, route optimization, predictive analytics, and driver behavior monitoring. By bringing vehicle data, trip history, media records, permissions, and operational workflows together, Fleeto helps logistics teams reduce manual coordination and improve fleet efficiency.

6 months duration
28 technologies
2 specialists
UAE geography

Main goals of the project

  • Provide fleet operators with better visibility into vehicles and ongoing trips
  • Display trip and vehicle information through interactive maps
  • Simplify management of vehicles, users, shifts, organizations, and operational items
  • Support large fleet operations through bulk management functionality
  • Create flexible access and permission rules for different users and organizations
  • Make large amounts of operational data easier to navigate through advanced filtering

Challenges and solutions

Managing Complex Fleet Data

Challenge: Fleet management requires operators to work with multiple interconnected entities, including vehicles, users, shifts, organizations, items, and access rules.

Solution: We developed structured management flows that allow users to create and edit operational entities directly within the platform. This gave fleet managers a centralized environment for maintaining core fleet data.

Access to Trip Camera Data

Challenge: GPS coordinates alone do not always provide enough context when reviewing a completed trip or investigating a specific event.

Solution: We implemented functionality for fetching, displaying, and playing photos and camera recordings associated with individual trips. This provides operators with additional visual context alongside standard trip information.

Flexible Permissions Across Organizations

Challenge: Different users require different levels of access depending on their organization, responsibilities, and role within fleet operations.

Solution: We implemented permission profiles and rules that can be fetched and applied throughout the application, allowing access to be managed according to operational requirements.

Visibility Into Trips and Vehicle Activity

Challenge: Operational teams need an easy way to understand where vehicles have been, how individual trips progressed, and what happened during them.

Solution: We integrated Google Maps to visualize trip data and vehicle routes, making operational information easier to understand and investigate.

Managing Fleets at Scale

Challenge: Creating users and vehicles individually becomes inefficient when operators manage large fleets or onboard new organizations.

Solution: We implemented bulk creation functionality for both users and vehicles, reducing repetitive administrative work and simplifying onboarding.

Finding Relevant Operational Data

Challenge: Large fleets generate significant amounts of vehicle and trip information, making it difficult for operators to quickly identify the data they need.

Solution: We implemented complex filtering capabilities that allow users to narrow down operational data and work with relevant vehicles, trips, users, and other fleet entities more efficiently.

Functionality

Real-Time Fleet Visibility
GPS and IoT-powered vehicle tracking gives fleet operators better visibility into fleet activity and trip information
Trip Management & Map Visualization
Trip data can be displayed through Google Maps, helping operators review routes and understand vehicle activity geographically
Trip Photos & Video Playback
Users can access and review photos and camera recordings connected to individual trips directly within the platform
Vehicle & User Management
Fleet administrators can create and manage vehicles and users, including bulk creation for faster fleet onboarding and administration
Advanced Filtering
Complex filtering makes it easier to navigate large volumes of fleet and trip data and quickly find relevant operational information
Role-Based Access
Permission profiles and rules allow organizations to control what different users can access and manage throughout the application
Fleet Optimization
The wider platform supports automated dispatching, route optimization, predictive analytics, and driver behavior monitoring to help logistics operators improve fleet efficiency and control operational costs

Features that make this project unique

IoT-Driven Fleet Operations

The system combines GPS and IoT-generated information with operational fleet workflows, giving managers a more complete picture of vehicle activity

Operational Data in One Platform

Vehicles, users, organizations, shifts, permissions, trips, maps, and trip media can be accessed and managed within one environment

Visual Trip Investigation

Combining route information with photos and camera recordings gives operators additional context when analyzing individual trips or operational events

More Than Basic Vehicle Tracking

Fleeto goes beyond displaying vehicle locations by supporting dispatching, route optimization, driver monitoring, and data-driven fleet management

Built for Large Fleet Operations

Bulk management, advanced filtering, and configurable access rules make the platform suitable for organizations working with large numbers of vehicles and users

Tech stack

Frontend Technologies
Angular 2+ Typescript RxJS PrimeNG TailwindCSS Angular Reactive Forms
State & Data Management
RxJS NgRx HTTP Client
Backend Technologies
NodeJS NestJS ExpressJS
Real-Time Communication
WebSockets Socket.IO
Maps & Geolocation
Google Maps API Google Maps JavaScript SDK
Authentication & Access Control
JWT Passport.js RBAC
Data & Storage
PostgreSQL Redis
Background Processing
Bull BullMQ
API & Validation
REST API Swagger OpenAPI Class-validator
Media Handling
Video and image processing/storage integrations for trip camera footage
Infrastructure & Deployment
Docker CI/CD pipelines

Optional features that can be added to similar project types

AI-Based Route Recommendations

Use historical and real-time fleet data to suggest more efficient routes

Predictive Vehicle Maintenance

Analyze vehicle and sensor data to identify potential maintenance requirements before failures occur

Digital Twin for Fleet Operations

Create a virtual representation of fleet activity to simulate operational scenarios and optimize resource allocation

Automated Operational Alerts

Notify fleet managers about route deviations, unusual vehicle activity, delays, or operational exceptions

Fleet Performance Dashboards

Provide management-level views of vehicle utilization, route performance, driver activity, and operational efficiency

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