Revolutionizing Trucking Operations with AI, ML & IoT – India’s 1st Unified Trucking Platform
Revolutionizing logistics with India’s 1st unified trucking platform powered by cutting-edge AI, Machine Learning (ML), and IoT technologies.
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Business Impact
The Client
The Context
Our Solution
The SaaS ERP suite provides an all-inclusive, AI, ML, and IoT-powered solution that covers various aspects such as:
Real-Time Fleet Visibility: IoT-enabled GPS tracking and SIM-based live location updates provide unauthorized movement alerts, ensuring comprehensive fleet monitoring.
Predictive Analytics & Forecasting: AI-driven insights anticipate delays, optimize routes, and reduce downtime for proactive decision-making.
Alerts & Exceptions: Real-time ML algorithms detect fuel consumption anomalies, vehicle health, traffic, and weather impacts on drivers.
Route Optimization: AI processes suggest efficient routes, weather, and traffic data for optimal delivery and dispatch.
Seamless Integration: IoT-enabled systems sync with SAP ERP, automating TMS, logistics, and other platforms for compliance.
Fuel & Cost Optimization: AI analyzes fuel usage patterns, prevents pilferage, and identifies cost-saving measures.
Driver & Safety Monitoring: ML-powered systems detect fatigue, risky driving behaviors, and real-time driver performance.
Payment Solutions: Transformative experiences with our payment solution for streamlined transactions.
The Stakeholder
Shippers: User-friendly dashboard with AI-enhanced vehicle tracking, consignment notes, invoices and payables, rate cards, E-POD, predictive MIS and reporting for optimized logistics.
Drivers: Managing delivery manifests, electronic proof of delivery (E-POD), and ML-powered safety alerts for real-time guidance.
Fleet Owners: Vehicle & maintenance management with IoT tracking, documentation compliance tools, AI-driven alerts, accounting & billing, fuel & tire optimization via ML analytics, rate cards, E-POD, and comprehensive predictive MIS and reporting capabilities.
The Technology
- Laravel: Web app & API development
- MySQL: Data storage
- Java, Kotlin: Android app
- Azure SQL, MongoDB: Data storage
- .NET: Fleet tracking system
- Golang, Kafka: Real-time event streaming and data processing
- AI/ML Frameworks: Integrated TensorFlow and scikit-learn for predictive modeling and anomaly detection
- IoT Protocols: MQTT and GPS integrations for real-time data ingestion and edge computing
Testimonial

Rajesh Nair
Case Details
Clients: Logistics
Project Duration: 9 Months
Tags: Transportation & Logistics
Website: www.ektruck.com
Let’s Work Together
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Office Address
Contact Us
Mail: contact@rayblaze.com