Fuel optimization driven by data, not guesswork
Identify and eliminate the root causes of excess fuel consumption across your fleet through advanced behavioral analytics and spatial segmentation.
7 critical groups of factors
COSMOS has identified seven critical groups of factors that influence fuel consumption. Our methodology analyzes each one to find your biggest optimization opportunities.
What the data reveals
Efficiency gap between equipment
Up to 8% difference in fuel efficiency between comparable equipment operating under similar conditions.
Standardization potential
8-14% savings achievable by standardizing operator behavior across the fleet to best-performer levels.
Slope impact
Road grade increases fuel consumption by up to 114% in high-effort zones compared to flat segments.
Load impact
Payload variations can increase consumption by up to 212%, making load optimization critical.
Spatial segmentation
Dividing routes into high, medium, and low effort zones enables targeted optimization strategies.
From data to savings in 90 days
Our structured pilot program delivers measurable results with a clear, phased approach.
Setup
Data integration, system configuration, and baseline measurement establishment.
First Analysis
Initial data collection, preliminary insights, and identification of quick wins.
Deep Analysis
Comprehensive behavioral and spatial analysis, operator segmentation, and optimization roadmap.
Final Report
Complete findings, ROI projections, implementation recommendations, and deployment plan.
The financial and environmental impact of 5% fuel savings
For a fleet of 50 trucks, a 5% reduction in diesel consumption translates into millions in savings and a massive reduction in carbon emissions.
5%
Fuel consumption reduction
2.6M
Liters of diesel saved
US$ 2M
In cost savings
9,600
Tons of COâ‚‚ avoided
435,000
Equivalent mature trees absorbing COâ‚‚
Let's have a talk
Whether you're curious about features, a live demo or looking for a specific solution - we're ready to answer any and all questions.
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