Havenly

Havenly Realty Group came to us running a listings site that behaved like a digital filing cabinet: buyers typed in a price range and beds, then scrolled through hundreds of near-identical cards with no sense of which home actually fit their life. The brokerage's own data showed the average visitor viewed 42 listings before saving a single one, and nearly 70% never returned after their first session.

Their agents were drowning too. Every qualified lead arrived with the same generic questions — HOA fees, school ratings, whether a yard was fenced — and answering them one by one at 11pm ate into the hours agents should have spent closing. Havenly needed a smarter front door: something that learned what a buyer actually wanted and surfaced it immediately, plus a way to handle routine listing questions without pulling an agent into every thread.

There was also a trust problem. Buyers didn't believe a website could understand nuance like "close to a good elementary school but still an easy bike ride downtown." Any recommendation system we built had to explain itself, not just rank silently, or users would ignore it entirely.

The brief: rebuild the site around an intelligent matching layer, add a conversational assistant that could answer real questions and book real tours, and do it without making the experience feel like a black box.

Since launch, buyers who interact with AI Property Match save homes at nearly triple the rate of those browsing unranked search results, and average time-to-first-saved-home dropped from 9 minutes to under 3. The AI assistant now resolves roughly 6 in 10 listing questions without agent involvement and has booked hundreds of tours outside business hours. Havenly's agents report spending noticeably less time on repetitive Q&A and more on the buyers closest to an offer. We're now scoping a version of the match engine for Havenly's rental listings and a mobile companion app.