MMI Hotel Group has selected Infor Hospitality to provide hospitality management and pricing solutions for its expanding independent property base. When the company implements these new applications at select properties, MMI will have access to cloud-based tools that will help its teams achieve competitive positioning through dynamic pricing strategies. Infor will provide MMI with easy access to incoming data that can quickly be turned into action, allowing teams to better track guest preferences, simplify reservations and provide consistent quality and services.
“We want to make sure all of our properties are run well and perform well, and we know that adopting new and modern technology solutions are the key to allowing our teams to take on less of an administrative burden so that our staff can focus on creating consistent and dependable interactions with guests,” said Dominic Buompastore, MMI Hotel Group VP of operations. “Specifically, Infor is able to provide us with easy access to valuable incoming data that we can quickly turn into action. By being able to operate on one system for all guest and hotel data, our teams can stay on top of all the little details that ensure a great guest experience.”
Infor HMS is a specialized, multidepartmental property-management platform for the hospitality industry that integrates front-office and on-property technology to better manage room availability, dynamic pricing and guest profiles to boost profitability and maintain a competitive edge. The Infor suite of solutions can unify multiple hotel functions into a single application, allowing hotels to consolidate information on the performance of multiple properties, create customized reports and ultimately make better forecasts and business decisions. Properties in the MMI Hotel Group portfolio will be able to increase revenue potential, streamline operations and build a better guest experience.
In addition, Infor EzRMS, a powerful hotel revenue management tool, will automatically calculate demand and revenue forecasts, while recommending appropriate selling strategies. Users will benefit from deep-learning algorithms that dynamically recognize patterns to ensure optimal and accurate business forecasts, pricing and selling strategies to increase yield and profit.