AI for maritime and shipping

AI in shipping and maritime spans the full value chain: vessel performance and fuel optimisation from AIS and engine telemetry, ship chandler and procurement automation, predictive maintenance from IoT sensor data, port operations and berth scheduling, compliance reporting (CII/EEXI, MARPOL), and marine logistics intelligence for freight and chartering. Agility builds these as production systems in 3 to 8 weeks, integrating the data sources and back-office systems you already run.

Ship chandler RFQ automation uses an AI email-parsing engine to read inbound RFQs, extract every line item, match catalogue item codes, and generate margin-protected quotes automatically. For a maritime distributor we cut quote turnaround from 2 to 3 days to under 30 minutes, processed 847+ line items in a single RFQ, and recovered $100K+ in annual labour per deployment with zero pricing errors since go-live.

Agility deploys production maritime AI in 3 to 8 weeks depending on scope. Our ship chandler automation platform is validated in parallel with your existing process and cut over once confidence is established, an average of one week per client. Larger vessel-performance or port-operations builds sit at the upper end of the 3 to 8 week range depending on data readiness.

We integrate AIS data feeds, IoT sensor pipelines, weather routing APIs (such as ECMWF and DTN), and procurement systems including SAP MM and Oracle Procurement, alongside vendor catalogue and email integrations for chandling. Deployments run cloud-hosted or on-premise with document intelligence on modern LLMs and dashboards in Power BI.

AI for ship management uses machine learning over vessel telemetry, AIS data, and maintenance and crew records to give shore teams one live operating picture, highlighting the vessels and equipment that need attention first. It underpins maritime fleet management using AI: fleet-wide performance benchmarking, automated noon-report analysis, and predictive maintenance across every hull.

Maritime AI analytics converts operational data such as fuel, speed, weather, port calls and cargo into decisions: voyage and bunker optimisation, CII and emissions trend analysis, and plain-English answers over your own fleet data. Agility builds both the data pipelines and the dashboards, so analysts get answers in seconds instead of building reports for days.

Marine logistics AI optimisation models freight rates, cargo-to-vessel matching, laytime, demurrage and port congestion to cut idle days and tighten scheduling. Alongside it, maritime workflow and shipping automation remove document-heavy manual work, RFQ and quote generation, invoice and bill-of-lading processing, and compliance submissions, so operators and suppliers move faster with fewer errors.