Qatar Airways Cargo, the world’s leading air cargo carrier, is partnering with FLYR Labs, the travel industry’s leading innovator in Artificial Intelligence (AI) for forecasting and pricing.
Together, the partnership will apply FLYR’s advanced technologies like deep learning, a cutting-edge form of AI, towards forecasting cargo capacity and demand and optimizing commercial decision making.
The move is in line with The Next Generation initiative from Qatar Airways Cargo to reshape the future of air cargo, underlining its status as a trailblazer in digital transformation and seizing a key competitive advantage when it comes to optimizing revenue.
FLYR’s cloud-native decision intelligence platform, The Revenue Operating System, leverages deep learning technology to provide automated, AI-based revenue management capabilities that help solve the industry’s cargo model complexities and boost businesswide revenue opportunities.
FLYR’s platform harnesses and understands the complex context behind airline data, helping commercial organizations make better-informed decisions.
“We are resolutely committed to remaining at the forefront of our industry by embracing the latest technologies, and our partnership with FLYR is the most recent example of this,” said Guillaume Halleux, Chief Officer Cargo at Qatar Airways Cargo.
“We’re looking forward to working closely with FLYR to gain crucial insights that will unlock new opportunities for our business and our customers.”
The freight division of Qatar Airways, Qatar Airways Cargo delivers to an extensive network globally, using a young and modern fleet that includes 31 dedicated freighters.
“Qatar Airways Cargo is a forward-thinking, digital-first carrier, and we’re excited to support their drive for continually seizing opportunities offered by groundbreaking technologies like ours,” said Alex Mans, founder and CEO of FLYR.
“We jointly believe that FLYR’s advanced AI technology will drive the industry forward, accelerated by this partnership, to unlock exceptional results and bring renewed sophistication to forecasting and revenue maximization at the heart of commercial operations.”