JPTRACK App - GPS Tracking System B2B

Imad Dhin

JPTRACK is a comprehensive, web-based fleet management and GPS tracking platform designed to optimize fleet operations. Completed in April 2023, the system is built on a robust backend with complex logic to ensure operational accuracy, paired with a streamlined frontend for an optimal client experience.
For a hands-on exploration of JPTRACK's capabilities, interested parties can discover the app with all its services and technical features on the new official website: https://www.jp.co.ma/.
Demo accounts are available upon request for access to the application through the various platform stores or the web panel.

Technical & Feature Overview

1. System Architecture
Platform: Web-based platform with a robust backend handling complex logic and operations.
Interface: Streamlined frontend interface accessible via computer or mobile devices.
Development: Completed in April 2023, with a primary focus on backend functionality and operational accuracy.
2. Key Features
Real-time Location Tracking: Monitor vehicle and asset location live on a map.
Fuel Consumption Monitoring: Track fuel usage to identify inefficiencies and prevent theft.
Driver Behavior Monitoring: Analyze driving habits (speeding, harsh braking, acceleration) to improve safety.
Cargo Temperature Tracking: Ensure the integrity of temperature-sensitive goods during transit.
3. Core Use Case & Compatibility
Primary Use Case: Fleet management optimization.
Vehicle Compatibility: Supports a wide variety of vehicle types, including:
Cars
Motorcycles
Trucks
Construction equipment
4. Access & Platform Availability
Security: Private access for authenticated clients only.
Availability: The platform is accessible across all major devices:
iOS (App Store): https://apple.co/42TYWD8
Android (Play Store): https://bit.ly/48bBDqb
Huawei (App Gallery): https://bit.ly/3NJEVsg
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Posted Jun 29, 2024

B2B Cross Application for vehicle geolocation and fleet management system that uses GPS technology to track the location of vehicles in real time.

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