Partner Driven was interested in the W 136th Ave deal in Cedar Lake, IN, due to its high profit potential.

Comps may seem to support a certain rent or price, (high or low) but it may be pulling data from an adjacent neighborhood that's much different.Plenty to choose from here - good cash flows in the lower priced properties, but an awareness that it comes with less appreciation and rent growth potential.

On the MLS they typically use the city assessors data which will call it a 2 BR. 

My costs might have been high and my rents too low so don't take my one data point as the answer without doing your own research.

I think presenting summary data on what the national average is for the different types of coverage would be a good place to start.

If VA doesn't work, I do have a DPA program that isn't income driven and you don't have to be a 1st home buyer.

Partner Driven was interested in the Church St deal in Baltimore, MD, due to its high profit potential.

Does QBO have a good solution for automating the data input (reveipts/invoices) and categorization?

Owning multiple types of multi-family rentals (Class C and B for now), I have a good grasp of the value, in addition to just public rental data, so not really a problem for me.

What would you like to know about your property using AI / data analysis?