AI-Powered Storage Hunter Project · Freedom Through Storage

AI-Powered Storage Hunter Project

Hey all,

I have been working quite a bit on AI-powered workflows recently. The goal is finding painful manual processes and seeking to automate them using AI agents, or agent-built workflows. One of the projects I'm working on is essentially a self-storage intelligence engine that is like an AI investment team helping you locate potential storage facility deals.

The way I envision this working is a user can specify a large geographic region - say, the Southeast US or maybe a particular state - and a pipeline of specialized agents would comb that area, first casting a wide net for generally favorable localities in that region, then digging into those localities for a more detailed market analysis, verifying that it is in fact a region that is worth digging into deeper. They would use public records like census data, labor statistics, etc to analyze these markets. The market analysis team would pass that data to the next set of agents which first scan the locality for storage facilities (though google maps and via public records) and then gather as much data about the facilities as it can. At that point the facility team would pass the intelligence to an underwriting agent who would determine the investability of each facility. At that point the user could then choose to reach out to those facilities with confidence that the juice is worth the squeeze, or I should also be able to create an "outreach agent" who can also reach out via email as desired.

I would like the group's feedback on a few things. First, does the pipeline make sense? Is the best order to go from finding markets to finding facilities in the markets to underwriting? I would make each module stand on its own as well, so instead of canvassing a whole part of the country, the user could just say "locate all facilities in X town" or "underwrite X facility," only making use of the service needed at the time.

Secondly, thinking specifically of the market finding portion of all this, I'm trying to nail down specific criteria that would alert the market scout to areas worth digging into further. Things like household income, sq ft per capita, population growth? If smaller, underserved markets are the sweet spot as Shane says in his classroom brief, are there particular criteria that the scout could search for that would indicate such a market? The agents can do a whole lot, very fast, but I need to make sure they know what to look for. Any feedback and guidance would be appreciated!

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