IoT-Diesel
Client
IoT-Diesel consumption system
Project
Optimizing Diesel Consumption with IoT & Power BI
Industry
Objective
The objective of the Diesel Project was to optimize diesel consumption by using IoT for real-time monitoring and Power BI for data analysis, enabling accurate tracking, reduced wastage, and improved operational efficiency.
✓ Solutions Implemented
- • IoT sensors installed for real-time monitoring.
- • Power BI dashboards for in-depth analytics.
- • AI/ML models for forecasting diesel requirements.
⚠ Key Challenges
- • Inefficient manual tracking of diesel usage.
- • Difficulty in enrolling new forklifts into the system.
Key Benefits
30%
Reduction in Diesel Wastage
15%
Cost Savings on Procurement
40%
Increase in Fuel Data Accuracy
50%
Faster Fuel Decisions
Technology Stack
LanguagesDart
DatabasePostgreSQL
CloudOn Premise
FrameworksFlutter
AI/MLTensorFlow
Results & ROI
- ✓ Significant reduction in diesel wastage
- ✓ Noticeable cost savings on fuel procurement
- ✓ Improved accuracy in fuel data tracking
- ✓ Faster and more informed fuel-related decisions
- ✓ Streamlined operations with real-time monitoring
- ✓ Better forecasting for diesel requirements
Conclusion
With IoT-enabled automation and AI-driven analytics, the Diesel Project has streamlined fuel tracking, enhanced operational efficiency, and reduced costs significantly.