SOFTWARE · [ADD YEAR]
Fuel Cost Optimization
A machine learning system built for a major automobile industry client to reduce fuel costs across the fleets they manage.
- Data Science
- Machine Learning
- Python
- Predictive Analytics
- Fuel Optimization
- Role
- Data Science, Machine Learning
- Year
- [ADD YEAR]
- Tools
- Python, Machine Learning, Predictive Analytics
Problem
Fleet owners needed a way to reduce fuel costs across the different fleets they manage, but fuel consumption patterns varied widely between fleets and were hard to act on manually.
Architecture and implementation
Trained machine learning models to predict fuel consumption per fleet, surfacing where and how fuel usage could be optimized across different fleets.
Impact
[ADD OUTCOME — e.g. measured fuel savings, once available]
