Pandora Intelligence – Smarter Risk Assessment for Safer Cargo Screening
The challenge
As global trade grows more complex, cargo and freight operators face increasing pressure to comply with international safety and compliance regulations. The rise in dangerous goods - especially battery-powered devices - has made it harder to detect risks early in the shipping process. Many companies still rely on manual checks or static lists, which are time-consuming, inconsistent, and prone to false positives. Limited resources and growing shipment volumes make it difficult to assess cargo risks thoroughly and in time, leading to delays, fines, and reputational damage.
The innovation
Pandora Intelligence developed Cargo Intelligence, a data-driven solution that transforms how cargo risk is assessed. Starting from the bill of lading or air waybill, the system uses AI to analyse and correlate data from multiple open and closed sources to generate predictive, actionable intelligence.
Key capabilities include:
- Detecting undeclared or embedded dangerous goods (e.g. lithium batteries)
- Reducing false positives and analyst workload
- Processing high volumes of shipments in seconds
- Ensuring consistent, accurate risk assessments
- Prioritising high-risk cargo for faster decision-making
This allows freight operators to shift from reactive checks to proactive risk management - before cargo is accepted or loaded.
How it works
Cargo Intelligence uses advanced AI models trained to interpret cargo descriptions like a human analyst. It cross-references shipment details with data on consignors, consignees, origin/destination countries, and known risk indicators. The system continuously learns from new trends and technologies, ensuring it stays current with evolving threats (e.g. new battery chemistries or restricted goods).
The platform integrates with existing systems and provides a user-friendly dashboard that enables analysts to focus on decision-making rather than manual data gathering.
Case study
Since implementation, Cargo Intelligence has increased the detection of previously missed risks by over 18%, while reducing false positives by more than 84%. No fines have been issued to users since adoption. Analysts now spend less time on repetitive tasks and more time on high-value decisions. Risk-based prioritisation has improved operational efficiency, reduced delays, and minimised compliance-related disruptions.
Potential impact
Cargo Intelligence is redefining cargo screening by enabling:
- Faster, more accurate risk detection
- Reduced operational costs and staffing pressure
- Improved compliance and fewer penalties
- Enhanced safety across the supply chain
- Date
- 22/07/2025
