Dnata Australia uses prototype AI model for predictive business analytics

Dnata Australia has teamed up with Hermes Logistics Technologies (HLT) and IT University of Copenhagen (ITU) to explore how models can be used to deliver predictive business analytics.

Through the project, HLT and ITU will run prototype machine learning models on dnata Australia’s new Hermes Digital Ecosystem, in order to help dnata to make predictive business decisions, as well as providing insights into potential cost savings.

The project takes place following dnata recently going live with HLT’s H5 cargo management system at six Australian airports: Melbourne, Sydney, Adelaide, Darwin, Perth, and Brisbane.

Terence Yong, cargo development director, Asia Pacific, dnata, commented: “dnata is looking forward to using predictive modelling to enhance our cargo planning and operational processes. This data science not only benefits our interaction with customer airlines, it enables us to anticipate the demand patterns in advance for more efficient operations.”

Alex Labonne, chief technology officer at HLT, said: “Machine learning is part of HLT’s digital agenda and our datalakes are a fantastic source of events and data, which are always up to date and ready to inform and train AI models in the Hermes Cloud.”

“Successfully trained models will form new predictive functionalities for dnata and help them refine an already competitive cargo handling offering.”

ITU’s professor Bonnet, added: “This is the future of enterprise machine learning envisaged by cloud providers, where any enterprise can incorporate data-driven predictions into their business processes.

“Collaborating with HLT and dnata is a unique opportunity for us to explore the capabilities and limitations of cloud-based enterprise machine learning.”

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