Portcast uses AI and machine learning to accurately track containers, predict ETAs, and provide port terminal visibility for imports and exports. This data-driven approach helps improve margins for freight forwarders and shipping lines by delivering actionable insights.
Problem
- Low reliability: Ships carry 90% of global trade, yet the reliability of cargo arriving on time is only about 20-30%.
- Operational disruptions: Factors such as climate changes, geopolitical issues, and port congestion create constant challenges for timely deliveries.
- High error rate: With industry error rates as high as 30%, clients can lose at least US$50 million annually due to extra costs (port fees, stuck inventory, need for expedited air cargo), delays, and dissatisfied customers.
Solution
- Predictive SaaS platform: Portcast offers an enterprise software-as-a-service for manufacturers and freight forwarders to accurately predict demand and arrival times, allowing better planning and supply chain management.
- Data-driven insights: The platform processes over 22,000 signals from public and proprietary customer data, with both API and web platform access, delivering actionable insights.
- Exception management: Customers can plan for disruptions, understand prediction insights, and take the necessary steps to keep their supply chains moving efficiently.
Media Links
Type
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
6M to 20M
Operational HQ
Singapore
Sector
Professional, Scientific & Technical Services
status
Current
founders
Nidhi Gupta
partnered
2018
exited
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