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$50 million annually due to extra costs (port fees, stuck inventory, need for expedited air cargo), delays, and dissatisfied customers.
Solution
- Predictive SaaS platform: Portcast offers an enterprise software-as-a-service for manufacturers and freight forwarders to accurately predict demand and arrival times, allowing better planning and supply chain management.
- Data-driven insights: The platform processes over 22,000 signals from public and proprietary customer data, with both API and web platform access, delivering actionable insights.
- Exception management: Customers can plan for disruptions, understand prediction insights, and take the necessary steps to keep their supply chains moving efficiently.
Media Links
Type
Trade Logistics & Shipping
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
6M to 20M
Operational HQ
Singapore
SECTOR
AI, Big Data & Analytics, Enterprise Data & Software, and SaaS
status
Current
founders
Nidhi Gupta
partnered
2018
exited
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