The i4 Insight Platform allows shipowners, operators and charterers to access insights on performance and fuel consumption across all ships in their fleet. The addition of GreenSteam's advanced machine learning technology means that platform users will have a more accurate picture of the leading contributors to excessive fuel consumption as well as access to actionable recommendations on how to optimise fleet performance. "Given the sheer volume of performance data available, machine learning is essential to help make sense of complex factors impacting vessel performance to help ensure operational efficiency," a press release from Lloyd's Register stated. GreenSteam was one of the first companies to apply machine learning to vessel performance data and its system can analyse data from thousands of vessels, continually learning, adapting and updating what it knows about each vessel. Shaun Gray, executive chairman of GreenSteam, commented: "An in-depth, data-driven approach to understanding and acting on fuel consumption has never been more necessary for the industry. GreenSteam's machine learning technology uses real ship performance data to provide owners and operators with actionable advice. Unlike traditional analytic approaches that fail to use and model 90% of performance data, by using machine learning, GreenSteam includes all ship performance data in its models to deliver insights other standard methodologies just cannot see."

Keeping in view the business as well as the environmental aspects, the authorities concerned, have rolled out several directions that the companies on and off-the shores need to follow. Amidst the new rules and guidelines follow there are, of course, institutions' growth targets. Recounting a few directions from the authorities concerned, with the Chief Operating Officer of Greensteam Learning Technology – Simon Whitford, here we have his insights on how is Greensteam taking up the challenges. Recently, the UN announced that global GHG emissions must be reduced by 7.6% every year for the next decade. With regard to GreenSteam's fuel saving figures, Mr Withford talks about solutions they have and explains: "GreenSteam's ML platform calculates a 30% non-propulsion fuel use for an average non-optimised deep sea voyage. Right now, GreenSteam has tools to measure and improve vessel optimisation. The 3 target areas for vessel optimisation are trim, speed and hull cleanliness. We have solutions for trim and hull cleanliness and we are beta testing a speed optimisation solution. That means we can address this 15% of fuel wastage."