Land acquisition math grows more challenging for homebuilders.

Acres has broadened its property-intelligence platform to deliver a large-scale parcel-level dataset spanning more than 1,000 metropolitan areas and over 3,000 counties, built from roughly 155 million parcel records. That expanded inventory affords mortgage market participants deeper, address-level visibility into ownership, land use and property attributes across diverse geographies. For originators, appraisal management companies and valuation providers, the dataset can strengthen automated valuation models, improve collateral risk screening and reduce geographic blind spots that historically hindered accurate pricing in both dense metro and outlying markets. Servicers and investors may also leverage the feed to refine loss-mitigation strategies, prioritize inspections and better understand localized property drivers that influence recovery and portfolio performance.

Operational benefits hinge on how the expanded inventory is delivered and integrated into existing workflows. The potential to accelerate collateral screening and trim reliance on manual appraisals is real, but measurable gains will depend on data quality factors such as update cadence, attribute completeness and match rates to loan files. Ease of integration with loan origination systems, servicing platforms and valuation engines will determine adoption speed and ROI. Market participants evaluating the offering should assess provenance, normalization processes, coverage gaps—particularly in rural or mixed-use areas—and governance and privacy safeguards to ensure the dataset meets underwriting, servicing and compliance requirements.

– Coverage footprint: Platform spans 1,000+ metros and 3,000+ counties — broad geographic reach for parcel-level analysis.
– Data scale: About 155 million parcel records — large sample for AVMs, risk modeling and portfolio analytics.
– Primary use cases: Underwriting augmentation, automated valuations, collateral screening, servicing prioritization and loss‑mitigation support.
– Integration considerations: Success depends on LOS/servicing integration, API access, and compatibility with existing valuation engines.
– Data quality and governance: Key review points include refresh cadence, attribute completeness, normalization, match rates and privacy/compliance controls.

You can read this full article at: https://www.housingwire.com/articles/homebuilder-land-underwriting-shift/(subscription required)

Note Servicing Center provides professional, fully compliant loan servicing for private mortgage investors so they can avoid the aggravation of servicing their own loans and just relax and get paid. Contact us today for more information.