FLYR Labs Acquires Newshore to Add Direct Distribution and Retailing Capabilities

Artificial Intelligence

3 minutes read

The Changing Frontier of Artificial Intelligence

FLYR leverages AI to help airlines understand the context behind data and realize the immediate results of pricing decisions, revolutionizing the relationship between airlines, their customers, and their vendors.

FLYR

Transforming Revenue Management

Tag: AI

In the News

Real-World AI that Drives Revenue and Commercial Decisions

Following a difficult reconning with its technology limitations, the aviation industry must now truly invest in innovation – in particular AI – to unlock its highest potential and overcome unexpected turbulence.

FLYR Updates

FLYR’s Uncompromising Approach to the Highest Data Security Standards

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.

In the News
Airplane comprised of data points

Podcast: Making AI Work

With airlines, travel and transport in desperate need of direction, Alex Mans turns AI and contemporary tech into a beacon of resilience. One that aims to transform airlines and underserved industries for the better.

FLYR Updates
Passenger in airport looking out at plane

Changing the Travel Industry with AI

Kartik Yellepeddi is on a mission to help FLYR Labs revolutionize revenue management for the airline industry.

Artificial Intelligence

Applying AI and Machine Learning to Help Airlines Reach New Heights

A true testament to the power of our solutions—which also underscores the power of Google Cloud—is that when we enter a deal with airlines, and we only charge if we achieve results above what they see today.

Revenue Management
Forecasting at the Speed of Change feat image

Forecasting at the Speed of Change

In today’s volatile operating environment, commercial teams find themselves having to ignore legacy forecasting systems and get creative with the limited tools and data at their disposal.