Jupiter - next generation airline pricing

Jupiter is a radical new airline pricing decision support solution

Jupiter is set to transform the way airlines set fares. It will empower airlines to create optimal fares based on a sound foundation of logic, formulating prices that consider an unprecedented range of factors.
With a decision making power that goes well beyond traditional revenue optimisation systems, Jupiter directly impacts airline profitability. It leverages all available data to give you prices that are competitive yet realistic. Efficiency and customer satisfaction are guaranteed.
Jupiter will increase your profitability. This is consistently proven by pilot results and through feedback from industry experts and consultants. At the same time your risk is mitigated. Jupiter is a cost effective system with minimal implementation and training.
When we say Jupiter is a new system, we mean it. Everything about it is original. It's a first-of-its-kind solution, built from the ground up. It gives airlines the power to create effective fares, based on competitor price analysis, commercial strategy and market situation. Unlike traditional airline revenue optimisation systems, Jupiter directly contributes to the bottom line.

Jupiter dramatically increases efficiency

Did you know that it takes 25 minutes for an analyst to fully review one OD? Put simply, we have got to the stage where humans cannot analyse millions of floated fares without a technically advanced automated support.

Jupiter helps you achieve new levels of efficiency and speeds up the entire process. Intuitive dashboards give you all the information you need at your fingertips, from booking to sales performance. A pricing cockpit gives you an at-a-glance summary of key metrics including price availability and price stability indices, revenue split and distribution, numbers of new products and fares, OD data, yield data and much more. For added insights, you can drill down and analyse data through diverse criteria such as region, country, currency, class and OD.

Jupiter simplifies the complex

Pricing is based on multiple factors and more than twenty data sources, and currently there is limited automation for price monitoring and recommendation. This manual heavy approach is reactive, and spread across many disparate systems.

Jupiter simplifies this complexity. It uses a unified framework to integrated dozens of distributed data sources. Whether from internal sources, such as from with airlines, airports and agencies, external data such as GDS, SITA and ATPCO, or data from global sources such as IATA industry data, social media and other airline financials - are all seamlessly integrated and presented to analysts on the Jupiter platform.

Competitor and market dashboards give analysts a panoramic overview of the environment in which they operate. By combining data from a wide range of sources onto a single screen, analysts can get all the information needed to make informed pricing decisions.

Jupiter saves costs by minimising ineffective fares

With such slim profit margins, it's vital for the success of any airline to boost efficiency wherever possible. On average, one fare costs airlines USD15 to file. Across the industry this adds up to a staggering USD 1.65 billion. An when you consider that up to 20% of floated fares are faulty, the cost implications are clear to see.

Jupiter saves costs by minimising ineffective fares. Sophisticated simulation functionality enables analysts to rigorously test fares and pricing strategies before they are posted. Jupiter clearly presents analysts with performance forecasts, from which logical decision can be made. The risk of posting ineffective fares, with their associated cost implications, is mitigated.

Jupiter also delivers comprehensive competitor and market analysis, and empowers analysts to quickly and clearly pinpoint events that trigger the need to optimize products and fares. Automatic triggers can be easily set up so that analysts are notified of a wide range of exceptions, such as competitor actions, market share changes, new entrants, and booking, cost and capacity changes. For greater insight and flexibility, optimizer trigger events can be specified for particular regions, country, OD, currency or class.