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Points of Interest section

Schools, transit, retail anchors, employment — the location story for the property.

Relm TeamUpdated 2 min read
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The Points of Interest (POI) section answers "what's around this property?" — the location-quality factors that drive demand, rents, and resale.

What's on this card

POIs are grouped by category:

  • Education — public/private K–12, universities, daycare. Walk and drive distance to each.
  • Transit — heavy rail, light rail, BRT, bus stops, highway access.
  • Retail anchors — grocery (with banner: Whole Foods, Trader Joe's, Kroger, etc.), pharmacy, big-box.
  • Restaurants & entertainment — local density score, name-brand anchors.
  • Employment centers — office parks, hospitals, universities as employers, military bases.
  • Healthcare — hospitals, urgent care, primary-care density.
  • Recreation — parks, gyms, trails.

Each POI has its name, distance, and a Google Maps link.

Where the data comes from

POIs are sourced from the Google Maps Places API, supplemented by our own employment-center database for major employers that aren't in Places (military, large hospital systems, etc.).

How POIs flow into the analysis

The AI Summary references POIs explicitly when narrating the property's location story. The pro-forma uses POI proximity indirectly — for example, a property within 0.5 mi of a top-quartile-rated grocery anchor gets a small uplift in the rent-growth assumption (configurable).

Editing & flagging

  • Mark a POI inactive. If a POI shown is closed or relocated, flag it inactive. It'll be excluded from future runs and the AI summary will stop citing it.
  • Add a custom POI. Useful for under-the-radar employment centers (a major office that hasn't shown up in Places yet). The custom POI is included in summaries and exports for this property only.

Limits and caveats

  • POI distances are straight-line by default, with optional walking and driving distance via Maps. The driving distance is what's surfaced; if you need to narrate "5-minute walk", confirm the walk number explicitly.
  • POI counts can mislead. A property near 30 fast-food restaurants isn't necessarily in a vibrant retail submarket — the type matters more than the count. Relm's POI summary captures both.
  • Suburban / exurban properties may have very few POIs within a useful radius. That's not a bug — just be aware it's a thin section for those deals.

What's next

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