Revenue Management
As former revenue management analysts ourselves, we have created CAYZN, a solution that focuses on displaying the most useful data, that can automate the most repetitive tasks, while keeping in mind that some decisions should remain in the hands of the analyst.
CAYZN was designed by and for revenue management specialists. Our philosophy is to offer natural workflows and allow users to see all the information they need without switching tabs or using painful Excel files. Our goal is to make CAYZN intuitive enough so that users get used to the features very quickly, without having to constantly refer to the user guide.
The Wiremind’s data science team is dedicated to bringing the latest operational research and machine learning studies to revenue management. CAYZN offers a real-time forecasting and optimization pipeline capable of handling thousand of departures to find the optimal price path maximising revenues and/or load factor.
Allowing our users to automate repetitive tasks and extend their reach, the BR engine offers a rich interface to handle hundreds of variables. Creating alerts and changing prices in real-time are made straightforward and accessible to users with no experience in code. Our engine supports loops and conditional programming.
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Improve your forecasting and optimization capabilities with modern AI technologies.
Automatically and continuously keep a desired price gap versus competitors’ fares.
Benefit from real-time data that is recalculated after each sale.
Ultimately keep control of decision-making thanks to a user-friendly interface.
Automating low-value processes and tasks allows to focus on analysis and decision-making.
Compared to standard revenue management solutions, CAYZN customers typically gain a +5% revenue premium.
As a full SaaS solution operated on cloud-based secured servers, CAYZN respect the highest SLA standards and is scalable by nature.
New features inspired from feedbacks from CAYZN users are frequently deployed, continuously improving the product over the years.
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