AI Home Search & Matching
The Problem
“Home search is inefficient, opaque, and mismatched”
Organizations face these key challenges:
1
Overwhelming inventory and poor relevance: users scroll hundreds of listings with minimal personalization, leading to abandonment and low engagement
2
Data quality issues: inconsistent MLS fields, missing amenities, inaccurate descriptions, and delayed status updates cause mismatches and wasted tours
3
High-cost lead handling: agents spend significant time qualifying, nurturing, and scheduling showings for leads that don’t convert
Impact When Solved
10–20% lift in inquiry-to-tour conversion from personalized ranking and better fit scoring30–50% reduction in time-to-shortlist via behavioral learning and conversational search3–6 agent hours saved per client per week through automated discovery, matching, and follow-up workflows