TUI taps machine learning tech to enhance transfer operations
TUI Group, has teamed up with Boston-based startup Mobi Systems to implement machine learning for its global shared-transfer operations platform.
It will use advanced techniques to optimise scheduling.
Pre-pandemic TUI sold over 31 million transfers, transporting customers between airports, hotels and points of interest in destinations worldwide.
Shared transfer scheduling is automated through TUI’s global transfer operations platform, but will now be optimised through additional machine learning capabilities.
The transfer platform will leverage different integrations to source real-time data for flights, traffic, weather, vehicle inventory and customer bookings which are the key variables that influence transfer schedules.
It will stream this data to Mobi so its machine learning technology can continuously calculate the most efficient transfer plans in real time, updating schedules instantly.
Machine learning will also significantly reduce operation costs and help cut CO2 emissions TUI says.
"Integrating new technologies, such as machine learning, helps ensure we deliver the best customer experience through having a faster, more stable and more accurate platform," said Peter Ulwahn, Chief Digital Officer of TUI Musement, the Tours & Activities division of TUI Group.
The TUI app will also be upgraded to include live vehicle tracking, expected arrival/departure times, and instant notifications of changes to a transfer plan.
The machine learning technology was tested during 2021 and is being launched in Palma de Mallorca in January 2022, with the rollout to continue in key Mediterranean destinations in the coming months.
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Editor for TravelMole North America and Asia pacific regions. Ray is a highly experienced (15+ years) skilled journalist and editor predominantly in travel, hospitality and lifestyle working with a huge number of major market-leading brands. He has also cover in-depth news, interviews and features in general business, finance, tech and geopolitical issues for a select few major news outlets and publishers.
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