This post delves into how BCQ can be leveraged to generate optimal bid prices in dynamic environments, ensuring stability, efficiency, and enabling real-time decision-making in the travel industry.
As part of our responsibilities as data engineers on a team focused on delivering key customer metrics, the FLYR Cloud team challenges ourselves to build flexible ways of managing our pipelines.
FLYR’s airline customers require lightning-fast turnaround times when generating seat prices, and at 3500 API calls per airline per second, every millisecond counts.
Ksenia Khlyustina spoke with Architecting with Google Cloud host Mikhail Chrestkha about how FLYR is using machine learning to forecast demand, set prices, and optimize revenue with the help of Google Cloud Services.
FLYR was built with a data-first, cloud-based mentality, which means putting data security front and center. We take our airline customers’ security and data privacy seriously and are compliant with the most stringent SOC 2 cloud-based storage regulations.
Our airline customers entrust FLYR with their confidential data, and ensuring the availability and security of the data in our warehouse and services is core to our commitment.
