Wiremind to support Qatar Airways Cargo’s revenue management plan

Wiremind has won a multi-year contract to support Qatar Airways Cargo’s revenue management plans within its ‘Next Generation’ initiative.

Qatar Airways Cargo has selected three sales and revenue management solutions from Wiremind’s cargo management suite.

Using Wiremind’s Revenue Management system, Qatar Airways Cargo will be provided with advanced demand forecasts and optimised entry conditions, enabling the airline to maximise its network contribution and revenue.

The carrier will also have access to the newly launched Overbooking module, which leverages machine learning models to forecast the cargo show-up rate on the day, supporting flight analysts in their decisions on the overbooking percentage for a particular flight to minimise capacity wastage on the day of departure.

The last solution chosen by Qatar Airways is Wiremind’s original flagship product, SkyPallet, which optimises space calculations at various points in the cargo lifecycle, to ensure maximum capacity usage and accurate quotations.

Over the coming months, Wiremind and Qatar Airways Cargo will begin the implementation of the chosen solutions through workshops and training of over 300 users to further establish the airline’s digital vision and how its changing needs can be adapted and addressed within Wiremind’s flexible product suite.

Nathanaël de Tarade, chief executive of Wiremind, said: “With the world’s leading cargo airline now on board, we are more than proud, and we look forward to supporting Qatar Airways Cargo in shaping the air cargo industry of the future with all the opportunities that our advanced digital and data-driven machine-learning products can bring.”

“Digital processes and solutions play a fundamental role in taking Qatar Airways Cargo into The Next Generation,” says Guillaume Halleux, chief officer cargo at Qatar Airways Cargo.

Qatar Airways Cargo recently partnered with FLYR Labs to utilise the latter’s cloud-native decision intelligence platform that is designed to leverages deep learning technology to provide automated, AI-based revenue optimisation and management capabilities.