Pricing engines are better when they stay focused.In practice, most operators your size run:STR PMS for calendars, guests, automationSeparate pricing toolSeparate accounting or light LTR toolThat separation actually reduces complexity once volume increases.LTR sideFor eight LTR doors, you don’t need anything fancy yet.

I did an engineered study on one of my rentals, and the key takeaway was that it's a strategic tool, not a default move.

When I was deciding whether to pull cash out, I found doing an engineered cost segregation study created way more useful cash flow for me than a high-interest loan ever could.

The Fed engineered a “soft landing”  Consumers are still spendingGDP remains positiveMarkets keep shruggingThe real question isn’t whether the data is wrong.  

I'll bet you're an engineer, I'm not.

Jeff, the safest and most scalable plan usually comes down to one principle: don’t trade long-term control for short-term comfort.When you buy properties in cash, you eliminate debt risk but you also eliminate leverage, which is the main engine that accelerates wealth in real estate.

Besides, unless you have experience building in a flood zone, it's going to have a host of challenges, specialty engineered foundations, additional infill dirt to be brought in, engineered retention walls... etc. 

The reason I'm asking these questions now is twofold: one, I'm a data engineer by trade so I think in systems, and two, I'm actually building software to solve this problem because I got tired of my own spreadsheet breaking down.What you described about tracking property level for early problem detection and portfolio level for system validation is exactly the gap I kept running into.

That said, in a past venture totally unrelated to real estate, I built a sales engine that was doing over $2 mil a year in sales, and 90% of our clients were sourced from targeted cold outreach that I did. 

We have to tackle local building, zoning, over-engineered codes, impact fees and permitting regulations.