{"id":8450,"date":"2025-06-26T13:27:05","date_gmt":"2025-06-26T13:27:05","guid":{"rendered":"https:\/\/pros.com\/learn\/?p=8450"},"modified":"2026-05-07T13:41:05","modified_gmt":"2026-05-07T13:41:05","slug":"forecasting-to-future-ready-azuls-wtp-transformation-with-pros","status":"publish","type":"post","link":"https:\/\/pros.com\/learn\/case-studies-testimonials\/forecasting-to-future-ready-azuls-wtp-transformation-with-pros\/","title":{"rendered":"From Forecasting to Future-Ready: Azul\u2019s RM Transformation with PROS"},"content":{"rendered":"<div id=\"bsf_rt_marker\"><\/div>\n<script src=\"https:\/\/fast.wistia.com\/player.js\" async><\/script><script src=\"https:\/\/fast.wistia.com\/embed\/6ljeshbsvg.js\" async type=\"module\"><\/script><style>wistia-player[media-id='6ljeshbsvg']:not(:defined) { background: center \/ contain no-repeat url('https:\/\/fast.wistia.com\/embed\/medias\/6ljeshbsvg\/swatch'); display: block; filter: blur(5px); padding-top:56.25%; }<\/style> <wistia-player media-id=\"6ljeshbsvg\" aspect=\"1.7777777777777777\"><\/wistia-player>\n\n\n\n<p><\/p>\n\n\n\n<p>With a complex network of 900 daily flights across 150 destinations, Azul needed to keep pace with growth, market volatility, and rising competitive pressures. To meet this challenge, the airline advanced its revenue management strategy by moving beyond static class codes and adopting PROS Elasticity Forecasting and Optimization. By shifting to a methodology grounded in price elasticity, Azul laid the foundation for dynamic pricing, enabling more precise, data-driven decisions that better align with customer demand and evolving market conditions.<\/p>\n\n\n\n<p>In this customer interview, Justin Jander, Senior Director, Product Management at PROS, sits down with Ricardo Jakabi, Senior Revenue Management Manager at Azul. Ricardo shares why Azul chose to implement PROS latest RM science, how the transition from traditional forecasting is reshaping analyst workflows, and the real-world benefits the airline is already seeing\u2014most notably, an uplift in buy-up behavior and smarter, faster pricing decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Video Highlights:<\/strong>&nbsp;<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=1m11s\">1:11 <\/a><\/strong>&#8211; What prompted Azul to implement PROS Elasticity Forecasting and Optimization, and how does it align with your overall revenue management strategy?<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=2m58s\">2:58<\/a><\/strong> &#8211; What changes or improvements have you observed since transitioning from traditional to elasticity-based forecasting?<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=4m47s\">4:47<\/a> <\/strong>&#8211; How have your analysts adapted to the new way of working, and what has the mindset shift been like for them?<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=6m17s\">6:17<\/a><\/strong> \u2013 Have your analysts embraced the use of alpha and lambda (the components representing price elasticity) in their day-to-day decision-making?<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=8m44s\">8:44<\/a><\/strong> &#8211; What tools has your team developed, or are currently using, to monitor system performance and track results effectively?<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"#wistia_6ljeshbsvg?time=10m28s\">10:28<\/a><\/strong> &#8211; What are the benefits and results you are already seeing?\u00a0<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Discover how Azul uses WTP to optimize revenue, empower analysts, and drive smarter pricing decisions across its extensive flight network.<\/p>\n","protected":false},"author":43,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14],"tags":[60,92,46,171,86],"class_list":["post-8450","post","type-post","status-publish","format-standard","hentry","category-case-studies-testimonials","tag-industry-airlines","tag-label-outperform","tag-language-english","tag-type-customer-success-stories","tag-type-video"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Azul: From Static Airline Class Codes to WTP Optimization | PROS<\/title>\n<meta name=\"description\" content=\"Learn how Azul moved from static airline class-based pricing to AI-driven price elasticity optimization with the PROS platform, advancing dynamic pricing and revenue performance.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/pros.com\/learn\/case-studies-testimonials\/forecasting-to-future-ready-azuls-wtp-transformation-with-pros\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Azul: From Static Airline Class Codes to WTP Optimization | PROS\" \/>\n<meta property=\"og:description\" content=\"Learn how Azul moved from static airline class-based pricing to AI-driven price elasticity optimization with the PROS platform, advancing dynamic pricing and revenue performance.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/pros.com\/learn\/case-studies-testimonials\/forecasting-to-future-ready-azuls-wtp-transformation-with-pros\/\" \/>\n<meta property=\"og:site_name\" content=\"PROS Resources 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