Technology Area : Artificial intelligence, Big data, Data analysis, Software as a Service (SaaS), Supply chain and logistics
Global supply chains still rely on historical, static data in order to estimate cargo demand and container arrival times (ETA). Inefficient forecasting results in over 80,000 hours lost in manual effort and >$50M lost p.a. for supply chain companies because of unutilized assets, ineffective pricing decisions and costs incurred from risks in supply chain. Portcast uses machine learning and AI – combined with advanced external data-sets, like economic patterns, adverse weather, satellite data and operational disruptions – to provide accurate forecasts on container demand and predictive ETA. The prediction and analytics are available through the ISO-certified SaaS platform or integratable via APIs and helps improve bottom-line profitability for logistics companies and Fortune 500 manufacturers.