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Our Machine Data Analytics solution empowers you to transform raw data into measurable results.
Machine Data Analytics transforms raw machine data, such as telematics, fault codes, cycles, fuel and CO₂, into actionable insights. By aggregating multi-brand feeds (including Komatsu and others) into a single platform, you gain real-time visibility of production, equipment health and machine utilisation. Intuitive dashboards and smart alerts help you to anticipate maintenance, optimise cycles and reduce the cost per tonne.
The result is a safer, more productive and better-managed fleet, from construction sites to quarries and mining operations.
Expert assistance, including remote and on-site support, condition monitoring and operational optimisation advice.
Track machine activity across sites. Benchmark performance and identify hidden productivity opportunities.
Condition monitoring based on machine data, fault detection and proactive alerts to extend component life and reduce unplanned downtime.
Track fuel and CO₂ to drive energy efficiency and environmental performance goals.
Visualisation of fleet health, productivity, maintenance trends and carbon footprint, with automated reporting.
Connect, monitor and manage your assets more efficiently with our comprehensive digital fleet solutions.
SmartFleetDX Insights is a business intelligence platform that transforms equipment data into intuitive dashboards, providing a clear overview of your fleet's status, productivity, maintenance trends, and carbon footprint. Built-in alerts for trends and fault codes support fast, informed decision-making across mixed-brand fleets.
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)
