Setting fair and transparent rental prices has always been a high-stakes, time-consuming challenge for property managers who manage multiple portfolios. Determining the “right” monthly rent can feel like an art as much as a science, especially in a volatile market where underpricing leaves revenue on the table and overpricing risks prolonged voids or disputes. As the Renters’ Rights bill kicks in later this year, there’s an extra dimension: Will the residents challenge it? How strong is my case? Is it fair?
At Residently, we believe there’s a better, data-driven way to do this. By combining extensive firsthand property data with real-time, third-party insights and layering in not one but two specialised AI models, we’ve created a robust, efficient, and arguably fairer approach to rental appraisals.
One of the most significant hurdles property managers face is fragmented information. Details about a property’s rooms, bathrooms, refurb history, and amenities are often stored in different places—or worse, stuck in people’s heads. Meanwhile, external market insights such as demand metrics, competitor pricing, and localised trends can come from an array of third-party services, each with its own data silo.
Our solution brings all these data points under one roof:
Firsthand Information
Third-party data integrations
By consolidating and automating data collection, Residently’s Yield Control system eliminates the need for property managers to mine multiple platforms or guess the going rate manually. Instead, you have a complete, up-to-date picture of each property’s performance and local market context—on demand.
Yield Control uses four key lenses to create a rock-solid rationale for any rental price:
Rental demand
Instant valuation
Refurbishment potential
Growth projections
This holistic view underpins data-led compliance and transparency, fostering trust among residents and owners. It also saves property managers hours of manual research and reduces the risk of costly vacancies.
We start with an AI model that:
Our second AI is an internal arbiter or “Head of Appraisals.” It:
When both AI engines align on a proposed figure, you receive a “double green light,” indicating that the final appraisal reflects complete data and an agreement on fair value. If there’s a discrepancy, Residently will still provide a recommendation, but with clearly cited data gaps or uncertainties.
Traditional revenue management systems often rely on broad averages or fixed percentage increases. Our AI engines make nuanced judgements, analysing multiple data points—demand, comps, refurb history—ensuring decisions are rooted in real market conditions.
Checks and balances
With two separate AI models (one for generation and one for review), we effectively replicate a “brainstorm and critique” dynamic. This is akin to having two experienced appraisers provide checks and balances on each other’s logic, dramatically reducing the risk of bias or error.
No competing interests
Our AI exists solely to enhance the rental experience for everyone: property managers, owners, and residents. It’s not driven by shareholder pressures or “quick wins,” which can sometimes skew other revenue management tools towards short-term gains that undermine resident satisfaction.
Consistency in real-time
Human appraisers bring valuable expertise but can be influenced by subjective factors or workloads. An AI-driven appraisal is consistent across properties, times of day, and even staff changes—creating a reliable, repeatable process.
Continual learning and market adaption
As more data flows into the system—from both internal property updates and external market feeds—the AI engines refine their models. This real-time learning enables dynamic pricing that keeps pace with shifting demand and economic factors.
Human in-the-loop
While your AI agents pass data between themselves and become faster and more accurate, they also learn patterns from your actions and the outcomes in executing listings and renewals. Blackbox logic becomes more whitebox and more finely tuned to your work and outcomes.
Time savings for managers
Property managers can shift from data-hunting to decision-making. This can save hours per tenancy, freeing teams to focus on cultivating resident relationships, exploring new acquisitions, or refining asset strategies.
Instead of piecemeal, manual efforts, Residently’s end-to-end solution harnesses the power of AI to create evidence-based rental appraisals in mere seconds. Our platform ensures you have:
While the housing market is challenging, it offers tremendous opportunities for those ready to adopt more sophisticated, resident-centric approaches. By connecting every data point and automating time-intensive tasks, Residently not only helps drive higher NOI but also delivers a more equitable rental journey for everyone involved.
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