Our Solution
In an industry heavily reliant on traditional bunkering processes, we saw an opportunity to drive digital innovation. Maritime fuel monitoring lacked real-time visibility, leading to inefficiencies, compliance challenges, and financial losses. Brightree set out to change that..
Remote Fuel Monitoring System
Monitoring via
- High quality fuel level sensors to detect, record and transmit the fuel status
- Mass Flow meter which can accurately measure fuel consumption
- Our system works with your existing sensors if any
Data transmission
- Brightree remote controller (Dandelion)
- Your existing satellite communication terminal
Key functions
- Accurate real-time tracking of fuel level/fuel consumption
- Accurate measurement during bunker fuel transfer
- Historical fuel level in every tank
- Digital reports / logs for invoicing
- Compare different fuel parameters in one graph
- Minimize costs by using your existing equipment when possible
- SMS or Email alerts
Digital Bunkering
Remote monitoring of bunkering:
Providing real-time bunkering information so that marine operators have clear transparency of the bunkering process.
Prevents fraud and discrepancies:
Enhances transparency by implementing automated data checks and secure cloud-based storage, minimizing unauthorized modifications and human errors.
Why Choose Brightree?
Proven Industry Experience
More than 10 years in the maritime sector, Brightree has a deep understanding of industry challenges, offering tailored digital solutions for efficient fuel management.
Data Analysis and Predictive Maintenance
We uses real-time analytics and AI-driven predictive maintenance to optimize fuel efficiency, detect issues, and prevent downtime. By monitoring engine conditions and fuel flow data, our system enables proactive maintenance, reducing costs and ensuring compliance.
Advanced Fuel Monitoring Technology
Our real-time remote fuel monitoring system leverages Coriolis mass flow meters and satellite data to provide accurate fuel tracking, reduce consumption, and detect anomalies.