OpenAI + Gmail n8n Workflow for Vessel Fuel Alerts & Reports

Turn vessel telemetry into fuel-saving recommendations and automated Gmail alerts—using OpenAI inside an n8n workflow

This OpenAI + Gmail n8n Workflow for Vessel Fuel Alerts & Reports ingests real-time vessel telemetry via a webhook, analyzes historical performance from an n8n Data Table, and then uses OpenAI agents to predict fuel burn and recommend the most fuel-efficient speed/RPM settings—while enforcing ETA and safety constraints. It also sends Gmail warnings and daily fleet reports.

What this workflow does

• Receives telemetry via POST webhook including speed, RPM, engine load, fuel burn, voyage constraints, and optional weather/current inputs.
• Normalizes & validates incoming fields, and flags unreliable readings.
• Pulls recent vessel history from an n8n Data Table to compute statistical baselines (mean, standard deviation, similar-speed mean, and z-score anomaly).
• Predicts fuel consumption with OpenAI: an OpenAI-powered prediction agent estimates current fuel burn and generates candidate fuel predictions for alternative speed/RPM settings (optionally using history).
• Optimizes under constraints: an OpenAI optimization agent selects the most fuel-efficient candidate that meets ETA and safety limits, and estimates fuel and CO2 savings.
• Creates operator-facing guidance via an advisory agent, and determines whether an alert is needed based on anomalies or unreliable data.
• Applies deterministic guardrails, records the final result back to the Data Table, returns recommendation JSON to the webhook, and sends Gmail alerts for warning/critical cases.
• Runs daily to aggregate and deliver fleet reports.

Use cases

• Automate fuel efficiency monitoring for a fleet using real-time telemetry and historical benchmarks.
• Send Gmail alerts when fuel burn deviates (z-score anomalies) or when sensor readings are unreliable.
• Generate daily reports summarizing recommendations, predicted savings, and exceptions for operators.

Technical details

• Webhook to accept telemetry payloads
• Code node for normalization/validation and guardrails logic
• n8n Data Table for historical baselines and result persistence
• OpenAI agents for prediction, optimization, and advisory recommendation text
• Switch to route warning/critical vs normal outcomes
• Gmail to deliver alerts and scheduled daily fleet reports

Perfect for n8n users, automation engineers, and SaaS operators building AI-assisted maritime operations workflows that are measurable, auditable, and constraint-aware.