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One detail that's easy to underestimate when evaluating in-house evaluation software is MLS data coverage — but it's arguably the single biggest factor in whether the software actually saves your team time, or just moves the same manual work into a different application.
Traditional appraisal software is built on the assumption that whoever's using it has MLS access through a professional license. Lender staff producing evaluations typically don't have that access, which historically meant either working without direct MLS data at all, or manually gathering comparable information from public records, county sites, and whatever listing data was available secondhand — a process that can take significant time per comparable when done by hand.
A platform with broad MLS coverage through a licensed data integration removes that bottleneck entirely. With coverage across the large majority of U.S. markets, an evaluator can search for a comparable and have the full data set — sale price, square footage, bed and bath count, lot size, sale date, and every listing photo — populate automatically, without an MLS license of their own and without switching between separate portals or systems.
The time savings add up quickly across a full evaluation. Manual comparable research that might otherwise take about thirty minutes per file adds up to a significant share of an evaluator's day. Automating that step doesn't just make each file faster — it changes how many files a single evaluator can reasonably handle, which is where the real capacity gain shows up.
The remaining gap — markets outside that coverage — still matters, and any institution evaluating a platform on this basis should ask directly how that minority of properties is handled, rather than assuming full coverage everywhere.
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