bunkering.ai

Free-text voyage → ranked scenarios → RFQ → commission
Mode: Demo UI Backend endpoints are placeholders

Voyage request (free text)

Describe route, dates, vessel, constraints. The app parses assumptions and generates scenarios.

Parse
Price 45
Quality 25
Emissions 15
Efficiency 15
Note: Efficiency is a demo “energy efficiency score” per scenario (0–100).
Parsed assumptions
Route
ETA
Vessel
Constraints
In production, this comes from an NLP extractor + validations.

Workspace

Review scenarios, compare, then send RFQ to physical suppliers.

Scenarios 0
No scenarios yet. Click Generate scenarios to create ranked options.

RFQ draft

Auto-filled from selected scenario. Edit terms and remarks before sending.

Commission trigger (example): when supplier quote is accepted/confirmed.

Choose physical supplier(s)

Select one or more suppliers to receive the RFQ.

Delivery: Email-based RFQ is fine for MVP. Phase 2 can add supplier portal + quote ingestion.

RFQ tracking

Track sent RFQs, responses, and acceptance status (commission-ready).

RFQ ID Supplier Port Status Last update
No RFQs sent yet.
Tip: Use unique acceptance links in emails to log confirmations reliably.
Audit trail: store RFQ payload, supplier quote, timestamps, and acceptance evidence.