Comprehensive Fuel Management Dashboard Creation - 24/11/2025 06:46 EST - 31/03/2026 21:05 EDT

Fuel Management Dashboard

• Proposal and Scope of Work

This proposal defines the scope of work for the design, development, and implementation of a comprehensive Fuel Management Dashboard platform integrating real-time IoT and OEM server data for effective monitoring, control, and decision-making. The system aligns with existing deployments similar to K92 and Hi-Lift operations.

SQL is what we have used in the past. We are looking to be migrating from our current dashboard service provider and therefore would like to go from scratch but to keep the same logic in an ugraded visual and functional quality.

1. Overview The Fuel Management Dashboard provides a unified, real-time view of fuel operations across all sites. It consolidates data from IoT-enabled devices, ATG systems, issuance controllers, flow meters, and generator monitoring modules hosted on OEM servers. The platform delivers dynamic, user-friendly dashboards for daily operational use and management-level decision-making.

2. Objectives • Deliver real-time visibility of fuel levels, transfers, and consumption across all connected sites. • Provide automated reconciliation of fuel deliveries, issues, and consumption data. • Enable variance detection and exception alerts for rapid investigation. • Support data-driven decision-making for fuel demand planning and cost management. • Enhance transparency and accountability across all levels of operation.

3. System Architecture and Data Sources The dashboard will integrate multiple real-time data inputs as follows: 3.1 IoT Integration • Automatic Tank Gauges (ATG)

• level, temperature, and water detection. • Fuel issuance controllers
• dispensing volumes, user/vehicle identification, timestamps. • Flow meters
• calibrated pulse transducer data for transfer and consumption tracking. • Genset monitoring
• runtime, fuel burn rate, and service interval scheduling. 3.2 OEM Server Connectivity Data will be securely exchanged via API integration with OEM servers such as SmartFill, Akot PD 350, ST500, Technoton, Teltonika, Omnicomm, MIX, and 3D Tracking. Data refresh rates will default to 60 seconds, with redundancy protocols ensuring reliability and continuity.

1. Dashboard Functional Scope 4.1 Real-Time Operational Displays • Tank inventory levels

• live, daily, and historical graphical displays. • Delivery tracking
• proof of delivery by matching ATG receipt vs supplier docket. • Fuel issues
• transactional logs by vehicle, operator, or cost center. • Genset consumption
• runtime, burn rate, and efficiency trending. • Transfer operations
• inter-tank movements and pipeline balances. 4.2 Reconciliation and Analytics • Automated daily reconciliation (opening + deliveries
• issues = closing). • Variance reporting with highlighted anomalies. • Predictive analytics for demand planning. • Alerts for overfill, unauthorized dispensing, negative inventory, or data interruptions. 4.3 Management and Executive Layers • Fleet integration module linking GPS odometer data to fuel transactions. • KPI dashboards for consumption, efficiency, losses, and system uptime. • Automated reporting with daily, weekly, and monthly summaries.

1. User Experience and Interface Design • Web-based and mobile-responsive interface accessible via browser or tablet. • Hierarchical access control with role-based permissions. • Dynamic color-coded tank and KPI graphics. • Filter and drill-down capabilities by site, tank, time period, or asset. • Multi-site consolidated overview with export functions (PDF/Excel).
2. Data Governance and Security • End-to-end encrypted data communication. • Secure API authentication using tokens. • Full audit trail for data changes and user actions. • Historical data retention (minimum 3 years). • Daily data backup and redundancy.
3. Deliverables • Functional Specification Document defining architecture and data mapping. • Prototype dashboard for review and user acceptance testing. • Final production dashboard deployed to cloud environment. • User training materials and Standard Operating Procedures. • Ongoing support and maintenance plan.
4. Project Timeline The indicative timeline for completion of the full system is 8 weeks from project initiation, broken down as follows: • Requirements & Data Mapping

• 2 weeks • Dashboard Design & Prototype
• 3 weeks • Integration & Testing
• 2 weeks • Deployment & Training
• 1 week

1. Future Expansion Options • ERP system integration (Pronto, MYOB, SAP). • Lubricant and DEF monitoring inclusion. • AI-based fuel forecasting and efficiency modeling. • Camera feed integration for transactional verification.
2. Summary The proposed Fuel Management Dashboard will unify and streamline fuel operations through a single, intelligent platform. By leveraging real-time IoT data and OEM integrations, it transforms complex data into actionable insights, enabling accuracy, accountability, and informed decision-making across multiple operational sites. Rate: AUD 25–50/hr Skills: Mobile App Development, Cloud Computing, Database Development, Web Development, Data Analytics, Internet of Things (IoT), Data Visualization, Data Integration, Database Management, Predictive Analytics