# Route Optimisation And Bunkering Alternatives

Last updated: 2026-08-07
Purpose: Describe Bulugo route tools, inputs, outputs and public limitations.
Canonical HTML reference: https://bulugo.com/for-buyers/route-planning

Source of truth:
- Public route positioning comes from the route-planning page and platform/API page.
- Supported canonical port data comes from the website export and Bulugo app route tools.
- Authenticated MCP route resources add operational tool sequencing for signed-in clients.

Important limitations:
- Bulugo is not a navigation, weather, safety or sanctions-compliance system.
- Route outputs are decision support for fuel procurement, not voyage instructions.
- Price-ranked alternatives depend on current coverage in the public export.

## Direct answer

Bulugo route optimisation compares bunkering options along a voyage by combining port-distance context with available fuel price indications. It helps buyers evaluate whether a nearby priced port may be more attractive than bunkering only at origin or destination.
Typical inputs include origin, destination, optional waypoints and fuel grade. Typical outputs include route distance, estimated voyage time, nearby priced ports, deviation context and price comparison where data exists.

Related public links:
- https://bulugo.com/llms/pricing-data.md
- https://bulugo.com/llms/ports-fuel-products.md
- https://bulugo.com/llms/trust-limitations.md

## Maintenance

Update owner: Bulugo website maintainers.
Runbook: edit data/ai-knowledge-docs.json, run npm run test:ai-knowledge, run npm run build, then verify live /llms.txt, /llms-full.txt and every /llms/*.md URL after publish.