Airline revenue management (RM) uses data to inform and decide how much to price a fare, product, or bundle. But how does RM know the pricing decision was the best one? What if that decision led to money left on the table? 

That’s where acmetric comes in. We use AI and data science to continually evaluate pricing decisions, so airlines can fine-tune their tactics and optimize revenue.

Now, imagine extending this experimentation approach beyond RM to other departments, like leading companies such as Uber, Booking.com, Netflix, and Microsoft do. This is how organizations move toward adopting a high-performance experimental culture—with significant results for profitability.

If that sounds like a big leap from where your airline is today, the gap may be smaller than you think. We’ve developed a maturity model to guide you through the process. 

Get a preview of it on the acmetric blog.