The Pre-Load Air Cargo Targeting (PACT) pilot project collects and analyzes pre-loading advance cargo information (PLACI) from voluntary air carriers at the earliest point possible in the supply chain to identify potential high risk air cargo, and take action before cargo is loaded onboard an aircraft at last points of departure. PACT looks at basic shipment data to identify anomalous patterns so that TC can direct air carriers to take further action if needed.
GC Strategies assisted Transport Canada by doing a pilot project with the use of Artificial Intelligence (AI) to assist in risk-assessment of shipment data, allowing PACT to focus resources on high risk air cargo that may need further risk mitigation strategies.
GC Strategies, in collaboration with our delivery partners, created multiple layers of Artificial Intelligence, all powered by a cloud-based, scalable, and secure platform.
Over the last five years, PACT received an average of 900,000 emails per year. If one employee spent, unrealistically all of their time reviewing messages, they would only be able to review 10%.
In 2017, PACT received 670,000 emails and only had enough time to risk assess a small percentage. AI can assess 100% of all incoming messages and then flag shipments for additional action. Therefore, AI is expected to increase safety and security 15-fold as every single message can be risk-assessed.
Modernization and transformation of the existing PACT processes to receive and assess air cargo information from industry stakeholders will result in improvements in data messaging and responsiveness. This is a crucial element in making real-time decisions to continue to allow the unimpeded flow of legitimate cargo and directly supports the department's mandate. PACT continues its outreach to explore expanding the number of carriers that supply data voluntarily.