DryLog Partners with CleanQuote — AI Turns Static Inventory Reports into Decision Support

Athens-based dry bulk owner-operator DryLog Services has deployed CleanQuote's automated Remaining On Board (ROB) module across its fleet, transforming what has traditionally been one of the most routine and manually intensive administrative processes in ship management — tracking what supplies remain on each vessel — into AI-powered decision support that actively guides restocking decisions. How it works: The system combines routine ROB submissions from vessels with minimum stock levels, voyage data, and purchasing history to generate recommendations about when and where to restock. Instead of a static spreadsheet that tells a superintendent what is currently on board, the system tells them what needs to be ordered, which upcoming ports offer the best procurement opportunities, and whether current stock levels will last until the next planned resupply. Steve Rogers, Deputy Chief Operations Officer at DryLog Services, described the shift directly: inventory data has always been important but difficult to use in practice. What CleanQuote delivers is the move from a static report to something that actually supports decisions during a voyage. The system surfaces relevant signals without requiring changes to existing workflows — it works with the data vessels already submit. Why this matters for ship managers: This is the kind of AI application that will never generate headlines but delivers measurable value every month across every vessel. Inventory mismanagement across a dry bulk fleet creates compounding costs: emergency resupply at premium ports, downtime from stockouts, and the administrative overhead of manual stock tracking that could be automated. CleanQuote's approach — taking data that already exists and making it actionable — represents the most practical end of maritime AI, where the technology addresses real daily operational friction rather than solving problems that sound impressive but affect a narrow slice of fleet operations. [Digital Ship]

This story is part of the Maritime AI Digest of 19 April 2026.