Problem
Construction projects suffered from equipment inefficiencies due to unpredictable breakdowns, fuel overuse, and underutilized machinery, leading to increased costs and delays.
Solution
Implemented AI-powered Smart Scheduling for automated allocation, Live Analytics for real-time tracking, and Auto-Tuning for predictive maintenance, optimizing fleet efficiency.
The Results?
Improved equipment utilization by 30% and reduced fuel costs by 20% with AI-driven automation.