Fuel usage monitoring and reporting

Purpose

1. Automate the capture, aggregation, analysis, and reporting of real-time and historical fuel usage across ferry vessels to reduce manual input, ensure accurate consumption tracking, monitor anomalies, streamline compliance, optimize scheduling, automatedly forecast supply needs, and facilitate cost management within Operations & Crew Scheduling.

Trigger Conditions

1. API event from IoT sensors indicating fuel level changes

2. Scheduled polling of vessel telemetry systems

3. Crew mobile app data entry or digital checklist submission

4. Receipt of fuel purchase invoice by Finance

5. Deviation from preset fuel consumption thresholds

6. Scheduled automated reporting intervals (daily, weekly, monthly)

Platform variants

1. Microsoft Power Automate

• Feature/Setting: Dataflow trigger from Azure IoT Central API; automated mapping and Excel/Power BI integration.
  

2. Zapier

• Feature/Setting: Webhook/REST API for sensor data; multi-step automation for Google Sheets and Gmail summary dispatches.
  

3. Integromat (Make)

• Feature/Setting: HTTP module for telemetry endpoints; automated scenario for Slack fuel alerts.
  

4. AWS Lambda

• Feature/Setting: Scheduled Lambda function polling AWS IoT or S3 fuel logs; automated data parsing and push to QuickSight.
  

5. Azure Logic Apps

• Feature/Setting: Integration with Azure Event Hub/IoT Hub using "When an event is received" for automated updates to Dynamics 365.
  

6. Google Cloud Functions

• Feature/Setting: Automated Pub/Sub trigger on sensor topics; automatedly update BigQuery in real time.
  

7. IBM Cloud Functions

• Feature/Setting: Automated webhook endpoint for fuel telemetry and automated Watson-based anomaly detection.
  

8. Salesforce Flow

• Feature/Setting: Automated REST call to external fuel telemetry API; trigger automated record update and report.
  

9. ServiceNow Flow Designer

• Feature/Setting: Automated scheduled job polling integrated sensors via REST, then creating remediation tasks.
  

10. Oracle Integration Cloud

• Feature/Setting: Automated REST integration with fleet management sensors; automatedly push to Oracle Analytics.
  

11. Twilio

• Feature/Setting: Automated SMS alert using Programmable Messaging when unusual fuel usage detected by automation.
  

12. Slack

• Feature/Setting: Slack bot trigger via webhook; automated notification to Operations channel.
  

13. Google Sheets Script Editor

• Feature/Setting: Automated Apps Script polling API; automatedly populate fuel log sheet.
  

14. Tableau Prep

• Feature/Setting: Automated Tableau Data Extract (TDE) update with REST data-source refresh from sensors.
  

15. SendGrid

• Feature/Setting: Automated API-driven email dispatch for periodic fuel reports using Email API.
  

16. Monday.com

• Feature/Setting: Automated board updates via Webhook/API when fuel resupply detected, custom automations configured.
  

17. Trello

• Feature/Setting: Custom Power-Up triggers automated card creation with fuel anomalies linked to vessel logs.
  

18. Notion

• Feature/Setting: Automated integration with API for fuel logs/alerts; update Notion database and automatedly flag issues.
  

19. Jira Automation

• Feature/Setting: Automated ticket creation for any exception in fuel usage using incoming webhook trigger.
  

20. Smartsheet

• Feature/Setting: Automated Data Uploader schedules; webhook integration updates sheets with latest sensor data.
  

21. Google Data Studio

• Feature/Setting: Automated refreshable connectors to BigQuery for fuel monitoring dashboard updates.
  

Benefits

1. Automates time-saving fuel data collection and report generation

2. Automated anomaly detection reduces compliance risk and manual oversight

3. Automation improves data accuracy, traceability, and actionability

4. Enables automated forecasting for procurement and maintenance planning

5. Automates notifications, reducing chances of operational disruption due to fuel issues