IAG Cargo finalist to test machine learning for ULD management

IAG CARGO. the air freight arm of International Airlines Group, has concluded its 2019 accelerator programme, Hangar 51, reports New York's Air Cargo World.

For the past 10-weeks, IAG Cargo has been working with its chosen finalist, Spain-based startup Allread MLT to explore the use of machine learning to improve ULD container management.

With the goal of optimising stock-taking process for ULDs, Allread intends to train its machine-learning software to recognise ULD containers and read container numbers.

"These past 10 weeks have been jam packed researching the problem statement and understanding how the [ULD management] process works today,?said IAG Cargo innovation chief Carly Morris .

Training the algorithm has entailed extracting data from thousands of ULD images. Following the accelerator course, Allread, along with the 12 other finalists selected by IAG companies at a pitch event earlier this fall, will participate in a demo day next month in Barcelona.

Until then, Allread will continue working an app that will help IAG Cargo create efficiencies and improve the accuracy of data it collects about its assets.

In its fourth year, IAG Hangar 51 accelerator received 474 applications from across 50 different countries in 2019. This year marked IAG Cargo second year participating in the programme, during which it was fielding startups in the uture cargo logistics?category.

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