LiquidRent is a multifamily revenue management solution that uses detailed supply & demand data at your property to provide daily rent pricing recommendations that maximize revenue for apartment units and renewals.
Our revenue management system is not a black box. We explain in plain English why the pricing is adjusted up or down, and our model helps users test different price points to gauge the impact on prospects and applicant volume by floorplan.
LiquidRent delivers pricing recommendations by email, so it can be used with any property management system. We also work with PropTech providers to integrate our predictive algorithms within existing property management software.
Multifamily asset managers and revenue management professionals need to continually monitor competitor pricing and positioning and conduct ongoing market analysis to maximize revenue. But multifamily real estate is ever changing, and there's not enough time in the day to analyze rent comps, develop pricing strategies and report on performance.
We constantly survey the market for you, analyzing hundreds of thousands of listings across the country every day. Our algorithm analyzes applications, lease turnover, and market rent trends to explain the "why" behind every rent recommendation. Our AI revenue management system was built to maximize revenue and save you time, while clearly explaining outputs so you don't have to.
A strong multifamily revenue management solution shouldn't provide "take it or leave it" pricing recommendations. With LiquidRent, you can see the predicted impact on leads and occupancy for each floor plan at different price points, so you have greater visibility and more control over your pricing strategy.
We make it easy to understand how your pricing decisions will impact prospects, applicants and occupancy, and we provide different revenue management suggestions based on how fast you want to achieve your sustainable occupancy.
Most apartment revenue management products were built before the advent of robust AI. Models built 20 years ago don't have the flexibility or transparency of pricing systems built on modern technology, and they struggle when market rents or economic conditions change rapidly.
Our dynamic rent pricing solution uses supply and demand algorithms similar to those used by Google and Amazon to predict ad performance, helping you strategize more effectively about pricing decisions. It reacts in real-time to market changes to help you move units faster and with higher rents. And our revenue management system is fully API-based, so it can be integrated with any property management solution.