Maritime AI Digest · 15 February 2026
CleanQuote Launches AI Assistant to Automate Bulk Fleet Inventory Management
Danish startup CleanQuote launched its AI ROB Assistant in February 2026, a digital tool designed to automate one of the most repetitive tasks in bulk shipping operations: the monthly review of Remaining On Board (ROB) inventory files across fleet vessels. The assistant checks the latest inventory upload against previous months and each vessel's minimum stock list, then flags discrepancies, highlights changes, and identifies missing or inconsistent information before sending a summary directly to the person responsible for the vessel. Measurable time savings: During the launch phase, operations teams reported that the AI assistant could save up to one hour per vessel per month. For a fleet of between 20 and 40 bulkers, this translates to approximately two full workdays saved per month — time currently consumed by manual spreadsheet comparisons passed between ship and shore. The seemingly small automation addresses a workflow that many fleets still handle manually, where errors remain hidden until they become costly supply shortages at the wrong port. Strategic procurement advantage: Beyond time savings, the AI ROB Assistant enables operators to plan resupply more strategically by detecting shortages earlier. CleanQuote's own data shows that supply costs in locations such as Gibraltar can be up to 70% lower than in ports like Santos, giving operators the ability to shift routine purchases to more cost-effective locations when stock levels are monitored proactively rather than reactively. When paired with IMOS integration, the assistant can suggest which port is best suited for required resupply based on route planning and cost optimization. For ship managers running bulk fleets, CleanQuote's AI ROB Assistant represents the practical end of maritime AI adoption — not autonomous navigation or digital twins, but the automation of routine operational workflows where small errors compound into significant cost exposure. The tool demonstrates that AI value in maritime operations doesn't require transformative infrastructure investment — it starts with eliminating manual processes that consume disproportionate time relative to their complexity. [Digital Ship]
This story is part of the Maritime AI Digest of 15 February 2026.