Brokerages spend thousands importing lead lists only to re-contact existing clients and miss routing accuracy. AI matching identifies duplicates that name-and-email matching misses — including changed contact info and nickname variations.
When you merge skip-traced contact data back to your property owner list, a 30% non-match rate is common. Here's why it happens and how AI-powered matching recovers contacts you're currently leaving behind.
Real estate portals and brokerages ingesting data from multiple MLS feeds routinely encounter the same property listed twice with conflicting details. AI-powered deduplication keeps inventory counts accurate and analytics trustworthy.
Property managers lose thousands to missed eviction flags and fair housing violations caused by poor record matching. Here's how AI changes the accuracy equation for tenant screening.
Trust transfers, LLC ownership, and inherited properties silently break HOA and municipal billing rosters. Traditional fuzzy matching can't bridge the gap — but AI can reason across it.
How real estate wholesalers and investors use AI-powered record matching to identify property owners who appear on multiple distress signal lists — and why those owners convert at dramatically higher rates.