We build artificial intelligence for shipping that optimises vessel performance, automates maritime procurement, and brings marine logistics intelligence to port and fleet operations.
Artificial intelligence in shipping spans vessel performance and fuel optimisation, ship chandler and procurement automation, predictive maintenance, port operations, compliance reporting, and marine logistics intelligence. Agility builds these as production systems in 3–8 weeks. In one deployment our AI cut ship chandler quote turnaround from 2–3 days to under 30 minutes with zero pricing errors — see the ship chandler RFQ automation case study.
From bridge to back-office — AI across the full maritime value chain.
ML models that analyse AIS data, weather routing, and engine telemetry to recommend optimal speed and trim — cutting fuel consumption and emissions.
AI-powered RFQ automation, IMPA/ISSA code matching, and margin-protected quoting for ship supplies — eliminating manual back-and-forth at port.
IoT sensor data analytics that predict equipment failures before they cause unplanned downtime — keeping vessels in service and crews safe.
Predictive berth planning, yard optimisation, and vessel arrival forecasting that reduces port congestion and turnaround time.
Automated IMO compliance monitoring, MARPOL reporting, and CII / EEXI calculation — removing the burden of manual regulatory submissions.
AI market intelligence for freight rate forecasting, charter party analytics, and cargo matching — giving chartering and marine logistics teams a data edge.
Automated the end-to-end RFQ process for a maritime distributor, cutting quote turnaround from 2–3 days to under 30 minutes across 847+ line items — with zero pricing errors and $100K+ in annual labour recovered per deployment.
Read case studyOur purpose-built AI platform for ship chandlers and maritime distributors: AI RFQ processing, IMPA/ISSA code matching, margin-protected quoting, catalogue management, and order fulfilment — deployed in an average of one week.
Explore the platformAI 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 3–8 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 IMPA and ISSA codes, and generate margin-protected quotes automatically. For a maritime distributor we cut quote turnaround from 2–3 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 3–8 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 3–8 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.
Explore the solution behind this work: our automation solutions.
Production-ready maritime and shipping AI in 3–8 weeks. Let's start with your biggest operational challenge.
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