Duetto, a market leader in software-as-a-service revenue strategy solutions, has launched “GameChanger,” a new web-based application developed exclusively for casino hotels. “Duetto aims to help casino hotels leverage cutting-edge advances in technology and change they way they approach revenue management,” the company said in a statement.
GameChanger ensures casino hotels select and retain their most profitable customers, accounting for dynamic demand, occupancy and segment volumes, assessed by each individual customer segment, room type, offer or discount. “This capability to flexibly fine -tune for greater accuracy is making a big impact in terms of optimized demand and increased profitability for Las Vegas casino hotels,” the company said.
“This technology really is a game changer,” said Marco Benvenuti, Duetto’s cofounder and chief analytics and product officer. “It delivers the tools I always dreamed of when I was managing revenue and distribution on the Las Vegas Strip. Duetto’s modern architecture provides a whole new level of flexibility and control to optimize profit that cannot be matched by traditional revenue management systems.”
GameChanger is already in use at a number of high-profile casino hotel properties, and rapid adoption is expected to continue in the coming weeks, Benvenuti said.
“We see enormous potential in every aspect of pricing at casino hotels and integrated resorts,” he added. “For example, complimentary rooms. Legacy systems follow a simplistic comp or ‘no comp’ criteria. Isn’t it better to offer a valued guest, who would not otherwise qualify for a free night, a discounted room or some other incentive instead of nothing at all?
“Casino hotels are also failing to leverage the value of various room types. The goal is to always get the right guests in the right rooms at the right times, maximizing all potential revenue. GameChanger empowers its users to achieve all this, and more.”
In addition to optimizing revenue and helping hotels protect and manage room mix, GameChanger captures valuable web shopping data. Looking at lost business regrets and denials based on dates searched and price quoted gives immediate insights on customer behavior, enabling real-time responses and A/B scenario testing to measure price elasticity.
