In order to proliferate the risk assessment process and utilize data-driven insights for prompt decision making, Transport Canada approached BDO Lixar for a risk-based oversight program that reflects a modernized way of processing and screening all shipment messages in a vigorous manner.
By leveraging the power of AI, a scalable, secure, and cloud-based data-analytics screening platform was planned for the PACT team, which visually translates received shipment messages in the form of interactive, real-time data dashboards.
Leading the deployment of advanced technologies within the Public Sector, Transport Canada’s project delivery plan involved two key steps:
- Supervised machine learning: Assessing the relationship between the input (cargo messages) and the outcomes (if a risk is detected in the message).
- Unsupervised machine learning: Anomaly and nuances detection, which can be used for ranking and filtering packages that require further human attention.
The results of both steps have determined the capability of AI to process and provide quicker results that require less overhead and enhance efficiency.
And to best drive cloud and AI-powered adoption, BDO Lixar took an approach that adheres to strong compliance, policy, and security standards while still meeting business demands quickly and competently.