Unlocking Hidden Yield With AI Revenue Management
Now Available On Demand
AI Revenue Management (AIRM) introduced the next generation of price optimization — the multifamily industry’s most powerful revenue driver across marketing, leasing and reputation.
The special webcast Unlocking Hidden Yield With AI Revenue Management helps you better understand how RealPage® AIRM enables new users to achieve up to 400% in year-one ROI for owners, operators and investors.
RealPage’s leading revenue performance expert Amy Dreyfuss and data scientist Rich Hughes join forces to discuss how AIRM combines lease transaction data from over 13.5 million units with AI machine learning and exceptional data science, diving into:
- How AIRM builds upon the bedrock of YieldStar® and LRO
- How enhanced AI-driven algorithms have transformed price optimization
- Unlocking hundreds of basis points of hidden yield through amenity price optimization
- How AIRM uses connected intelligence across pricing, marketing, leasing, amenities and reputation to help owners and operators maximize asset value, normalize demand and increase revenue
Amy Dreyfuss is Senior Vice President of RealPage Revenue Management overseeing both LRO and YieldStar. Amy has over 20 years of experience in multifamily operations and revenue management. Prior to joining YieldStar in 2009, she oversaw operations and revenue management for a Dallas-based firm. Amy began her career with RealPage as a YieldStar Consultant responsible for the implementation of a diverse portfolio of clients ranging from private owner/operators to fee managers to REITs and institutional owners before becoming a part of the leadership team in 2010. In addition to growing the YieldStar client base in the U.S., Amy is responsible for expansion into Canada and the United Kingdom.
Rich Hughes
Senior Vice President, Data Science, RealPage, Inc.Rich Hughes first entered the data revolution with apartment owner/operators AMLI and Archstone for over a decade, and is now head data scientist with RealPage. Hughes believes that today’s winners in complex, asset-intensive, service-based industries—from Amazon to apartments—have discovered the operational trifecta: over-delivering on promises while keeping the operation streamlined and affordable. He spends his days creating centralized command and control capacity for apartment operators, mainly regional managers, to streamline their operations through better and faster decision-making. He does this by analyzing data to predict outcomes, giving apartment operators prescriptive recommendations that are mathematically solvent and intelligence that is continually learning.
