The company's platform uses machine learning, internal data, and external data to make cargo volume and arrival time predictions. The platform is capable of predicting demand so that clients can utilize their assets (such as ships and ports) and estimate their pricing. It also predicts arrival time taking into account disruptions such as weather, fuel price, and congestion that may cause cargo delays. There is a risk management feature as well that generates scenario planning and real-time risk alerts for clients. The intention of this feature is to aid clients in commercial and operational decision-making and increase the accuracy of their predictions.
Portcast's CEO and Founder, Nidhi Gupta, has stated that the company's mission is to improve information flow in the logistics industry through using artificial intelligence, the internet of things, sensors on containers, and global positioning systems using blockchains.
Portcast: What shipping can learn from aviation when it comes to efficiency -
August 29, 2018
Documentaries, videos and podcasts
Portcast - EFSG2 Investor Day
January 29, 2018