Lessons learned from building an MVP
We needed to quickly build a prototype of a mobile app and a website, get them in front of our users and get feedback. Sound familiar? Yep, it’s MVP time.
CargoMate is a port call optimisation platform that enables container ship owners to have real-time visibility of their fleet in port. Using machine learning, we predict when a ship is ready to depart and we let voyage planners know when their ship is ready to leave. The app we built is used by crew onboard containerships to help them track cargo operations in port. Here are a couple of lessons we learned during our first year of building.
Automation is the future of maritime
Automation is the hot topic across the maritime industry right now, and it’s a polarising one; with half believing it’s the future and the other half certain it can’t (and perhaps shouldn’t) be done. The simple truth is that autonomous technology is already here and advancing rapidly.
There are different levels of automation, most of which still involve significant human involvement. Totally autonomous “AI-driven” ghost ships are a long way off, but in the short and medium term, there is a huge opportunity to systemize and automate dangerous or repetitive tasks on-board ships and generate efficiencies that have not been possible until now. Read more