You just got a broker blast with a self-storage facility in a market you’ve been watching. The unit mix looks solid, the occupancy is strong, and the asking price is in your range. Now you need to figure out whether this deal actually fits your buy box. So you open the OM, start pulling out NRSF and unit counts, cross-reference your criteria on climate-controlled mix, dig into the trade area demographics, and check the competitive supply per capita. Before you know it, 30 minutes have disappeared on a deal that might not even pass the first filter. It’s not that you don’t know what to look for. It’s that screening every deal properly takes time you don’t have when three more OMs land in your inbox tomorrow. That’s exactly what this task is built to fix. sourcing 10 min Buy Box Fit Check - Self Storage Acquisitions Upload an offering memorandum for a self-storage facility and provide your investment criteria. The AI coworker extracts key deal details from the OM, runs location research, fills data gaps using available tools, and delivers a pass/fail screening against your buy box. Who It’s For Self-storage investors and acquisitions teams who need to screen inbound deals against their buy box quickly and consistently. What You Get Back A structured pass/fail screening report with a summary, criteria comparison table, data-backed rationale, and a link to the full location analysis. Why It Matters Screen deals in 10 minutes instead of 30, so no opportunity sits unreviewed while you catch up on volume. Task Inputs Offering Memorandum Required Upload the OM, broker one-liner, or deal summary for the property being screened Facility Type & Size Required Target net rentable square footage, unit count, climate-controlled mix, and building configuration Market(s) & Trade Area Required Target markets, trade area demographics, supply characteristics, and visibility/access requirements Occupancy & Rate Performance Required Target physical and economic occupancy, street rate positioning, and revenue metrics Investment Strategy & Pricing Required Target strategy, hold period, pricing, and expansion criteria Tools Used Deep Location Analysis Generate Demographics Report Precisely Web Research Quick Google Maps Search Places What This Task Does You upload the offering memorandum (or broker one-liner) for a self-storage facility and fill in your investment criteria across four dimensions: facility type and size, market and trade area, occupancy and rate performance, and investment strategy and pricing. Each input has example formatting built in, so you know exactly how specific to get. From there, the Real Estate Analyst (with Memory) takes over. It reads the OM, extracts every relevant data point (NRSF, unit count, climate-controlled mix, occupancy, street rates, cap rate, asking price, expansion potential, and more), runs a deep location analysis on the property address using a 3-mile trade area, and maps what it found against each of your four criteria. If the OM is missing something the AI needs to make a call (trade area demographics, parcel data, competitive supply, or proximity to demand generators), it pulls only the specific data needed to fill the gap. The whole process takes roughly 10 minutes of your time. The AI does the rest. Who This Task Is For If you’re actively acquiring self-storage facilities, you already know the bottleneck isn’t finding deals. It’s deciding which ones deserve your attention. Every OM that hits your inbox needs to be screened, and doing that well means pulling data from the document, cross-referencing your criteria, and sometimes running your own market research just to make a basic go/no-go call. This task is built for: Self-storage acquisition teams who receive a high volume of OMs and need to triage quickly without sacrificing screening quality Independent investors building a self-storage portfolio who want a consistent, repeatable screening framework for every deal in their pipeline Brokers and advisors who want to pre-qualify a listing against a specific buyer’s criteria before making the introduction Asset managers exploring expansion opportunities who need to screen adjacent markets and new facilities efficiently against their existing portfolio standards In short: if you already have a buy box and a stack of self-storage OMs, this task gives you a structured pass/fail answer in minutes instead of hours. Why It Matters The whole point of a buy box is to screen fast: does this deal fit, or does it not? But actually running that screen against a real OM takes more than a gut check. You need to pull specific data points, verify them against your criteria, and fill in the gaps the OM doesn’t cover. You already know this. You’ve done it dozens of times. The issue isn’t that you don’t know how to screen a self-storage deal. The issue is that screening a deal properly takes 30 minutes,