Case Study: Maersk Tankers achieves faster data-to-action decisions with DevsData AI and Data Science

Maersk Tankers cuts data-to-action cycles from 3 days to 8 hours with DevsData

Maersk Tankers, a leading global operator of tanker vessels, faced challenges in leveraging its complex operational data to improve maritime logistics. The company needed to rapidly develop sophisticated, domain-specific AI models for optimization and required a partner with deep technical expertise who could operate within a strict six-month engagement window and a highly confidential environment. They partnered with the vendor DevsData LLC to address this.

DevsData LLC embedded a team of three senior data scientists and one full stack developer into Maersk Tankers' operations. The solution involved building custom AI models and secure, production-ready data pipelines and dashboards tailored to maritime logistics. As a result, Maersk Tankers significantly streamlined its data-to-action cycle, reducing the time from observation to action from three days to just eight hours. The engagement provided the company with a scalable, internal framework for AI and enhanced its long-term data strategy.

Maersk Tankers