Automated risk analytics for controlled exports

Project Member(s): Berry, A., Yu, K., Liang, B., Li, Z.

Funding or Partner Organisation: DHL Express (Australia) Pty Ltd
DHL Express (Australia) Pty Ltd

Start year: 2021

Summary: The project will deploy contemporary artificial intelligence approaches to automatically classify the risk profile of shipping consignments based on goods descriptions, consignment characteristics and publicly available data describing banned and controlled commodities. The initial focus is on pharmaceutical exports.

FOR Codes: Logistics , Natural language processing, Planning and decision making, Data engineering and data science, Deep learning, Air Freight, Rail Freight, Road Freight, Postal and Package Services (incl. Courier Services), Other transport, Aerospace transport, Ground transport

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.