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What is Wave RMS?

Wave integrates advanced AI technology with a personalized approach, allowing contemporary revenue managers to break free from the limitations of conventional 'black box' revenue management systems. This groundbreaking platform provides an unparalleled degree of simplicity and oversight that is often lacking in traditional RMS solutions. Featuring a unique strategy builder tool, Wave enables revenue managers to create customized AI models that align with their hotel's individual strategies, thus increasing transparency in pricing recommendations and allowing hotel operators to concentrate on running their businesses effectively. Moreover, Wave appeals to hotels that do not currently employ an RMS yet seek a comprehensive revenue management framework. It is specifically crafted for properties of all sizes that face challenges in analyzing and leveraging their data due to limited capacity and resources. In addition to these features, the platform automates demand forecasting using non-linear calculations, enhancing price elasticity evaluations and facilitating more informed decision-making in revenue strategies. Ultimately, Wave not only streamlines revenue management processes but also transforms how hotels approach their financial optimization, ensuring they remain competitive in a rapidly evolving marketplace. As a result, users can expect to see significant improvements in their revenue management outcomes, setting a new standard in the industry.

What is Infor EzRMS?

A sophisticated hotel revenue management system must effectively connect your business to evolving market dynamics and future trends with a keen sense of accuracy and adaptability. By leveraging real-time data accumulated from diverse sources alongside advanced machine learning capabilities, this system significantly improves the decision-making framework. With these cutting-edge resources, hotel revenue managers can create strategies that are based on accurate revenue forecasts, ensuring alignment with critical business goals and performance metrics. As the hospitality sector undergoes continuous change, you will be equipped to recognize and chase opportunities for growth. Infor® EzRMS emerges as a powerful hotel revenue management tool, autonomously generating demand and revenue forecasts while providing recommendations for optimal selling strategies. Its deep-learning algorithms are skilled at spotting trends, guaranteeing that business forecasts, pricing, and sales strategies remain not only precise but also maximized for revenue and profitability. This holistic approach ultimately prepares your hotel to prosper in a rapidly evolving market landscape, ensuring that you stay ahead of the competition. Consequently, investing in such a system will strengthen your capacity to adapt and excel in a challenging environment.

Media

Media

Integrations Supported

protel MICE
Agilysys Analyze
Agilysys Visual One
Execu/Suite
GuestTracker
IQware
Lodgical Solution
MSI CloudPM
Mews
Opera
Rezlynx
RoomKeyPMS
Stayntouch PMS
Summer.fi
Triptease
WebRezPro
mycloud PMS
roommaster

Integrations Supported

protel MICE

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SHR

Date Founded

1987

Company Location

United States

Company Website

shr.global/wave-revenue-management-system/

Company Facts

Organization Name

Infor

Date Founded

2002

Company Location

United States

Company Website

www.infor.com/products/ezrms

Categories and Features

Revenue Management

Not specified

Categories and Features

Revenue Management

For Hospitality Industry
Forecasting
Price Optimization
Recommendation Engine
Yield Management

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