Real-time visibility, operational control, and data-driven decisions for your fleet.
A fleet management system (FMS) is a solution that helps companies optimise their fleet operations by minimising risks, reducing costs and improving productivity.
At SmartFleetDX, we provide the tools you need to run leaner, safer and more informed operations.
Built-in safety tools help reduce risk and support compliance with site protocols.
Integrated messaging and task assignment improve coordination between field teams and control rooms.
Automatically track and report on output, cycle times, and key performance metrics.
Monitor machine locations and activity in real time for faster decision-making.
Stay ahead of issues with alerts on machine conditions and operating thresholds.
Connect, monitor and manage your assets more efficiently with our comprehensive digital fleet solutions.
SmartFleetDX Live is a powerful data-driven mine management tool designed specifically for the mining and quarrying industry. It enables you to follow activities in real time, stay on track and reach your production goals. Advanced asset tracking and performance analysis technology provides valuable insights into your equipment's health, regardless of the brand or model.
iVolve provides powerful Fleet Management Systems, designed for medium- to large-scale mining operations. These solutions facilitate real-time communication between your machines and the dispatch office, enabling you to effortlessly monitor production, maintenance data, and KPIs.
Achieve global visibility to proactively maximise sustainability while maintaining operational excellence. Backed by expert teams and advanced analytics, you can make smarter, more environmentally friendly decisions.
Key Benefits:
• Start-stop system reduces engine idle time (20% to 40% fuel savings)
• Decrease in engine operating hours
• Reduction in fuel consumption, and thus GES emissions
• Lower maintenance costs
• Reduced engine and major component wear
• Extended machine lifespan
• Improved productivity (litres/tonne)
