21/05/2024 | News release | Archived content
Home » News & Insights » How LATAM unlocked incremental revenue with AI-powered dynamic pricing
As airlines invest in offer-and-order based modern retailing, driving incremental revenue is crucial. Learn how Sabre's next-gen solutions such as Air Price IQ™ have helped LATAM unlock new revenue opportunities.
Watch the full conversation with Rosario Phillips from LATAM Airlines here.
Air Price IQ integrates seamlessly with other Sabre solutions we use.
Rosario PhillipsAs airlines make the necessary investments to transform towards offer-and-order based modern retailing, the importance of realizing incremental revenue is paramount. Airlines must continue to perform, delivering what travelers need today, even as they transform towards a more customer-centric long-term vision.
This is where Sabre's next-gen solutions - including SabreMosaic™ which extends the offer optimization capabilities of our Retail Intelligence product suite - can help.
Sabre's Bhaskara Guntreddy, Vice President of Product Management, Offer Optimization, sat down with Rosario Phillips, VP of Customer & Commercial Solutions at LATAM, to discuss how Sabre's AI-powered Air Price IQ™ retailing solution is unlocking new revenue opportunities.
Rosario Phillips: LATAM has really diverse route types and home markets. We knew we needed to complement our revenue management capabilities with dynamic pricing in all direct sales channels. After launching our NDC solution, the timing was right to scale this more personalized approach.
Bhaskara Guntreddy: LATAM Airlines is always striving to better serve customers. We knew that adopting leading-edge innovations like AI-enabled pricing is central to their strategy. With Air Price IQ, LATAM can respond faster to changing market dynamics and customer demands.
BhaskaraGuntreddy: We began collaboratively with a proof of concept, then a minimum viable product, and finally a full launch. At each stage, we measured results, learned and continuously improved the system.
Rosario Phillips: Generally, when you implement something like this, you have to do due diligence and understand the downstream impact of the changes you are making. We asked ourselves: how do we evolve all the processes that come after? How is the order managed? Something we discovered is that we didn't require additional development because of Sabre's development provision. Air Price IQ also integrates seamlessly with other Sabre solutions we use, like SabreSonic Inventory: Origin and Destination (SSI:O&D). This saved significant development time and accelerated scaling.
Air Price IQ is part of the Retail Intelligence suite of products, improving pricing precision. Discover how your airline can use Air Price IQ to help drive conversion.
BhaskaraGuntreddy: We don't use any personal data, only trip characteristics, to determine price consistency. The explainable AI framework also gives LATAM full visibility into why recommendations are generated, unlike black box systems
Rosario Phillips: The flexibility to test different algorithms and rules for each market was also game-changing. We can leverage Sabre's expertise while also plugging in LATAM's own models.
Air Price IQ was created as a result of our strategic partnership with Google. Powered by Sabre Travel AI™, Air Price IQ moves away from traditional static pricing models and uses advanced machine learning models to personalize airfare offers in real-time.
Rosario Phillips: We took an approach that plugged in different models, different algorithms, different business rules, to see which one was the most appropriate for a specific group of markets like we have in LATAM. This allowed us to experiment and iterate. Having these tailored solutions for our diverse markets was critical. We evolved to plugging in specific models, data and rules for different segments rather than one blanket approach.
BhaskaraGuntreddy: We built an experimentation framework so LATAM can continually evaluate offers and fine-tune models. This "test and learn" capability ensures maximum value.
Rosario Phillips: In 2024, we aim to centralize offers across all channels and expand into more markets, cabins and use cases. We also want to incorporate event more data signals into the models. Implementing disciplined data practices is essential to feed accurate models. And change management is critical as roles evolve with AI adoption.
Bhaskara Guntreddy: On the product side, we are developing Bundle IQ to optimize both pricing and product offerings by integrating third-party ancillaries. Listening to customer needs and collaborating closely drove our success. We will keep enhancing dynamic pricing as airlines progress in their retailing journey.