My goal is to build a data-driven tool that provides actionable insights into which neighborhoods and property types are in the highest demand, based on metrics like:Time on market: How quickly rentals are being leased.Property characteristics: Bedrooms, bathrooms, size, and amenities.Pricing trends: Rental rates relative to market demand and property features.Visual quality: Leveraging property photos to analyze the style and condition of rentals that perform well.The tool will allow users to:Pinpoint areas with the fastest rental turnovers.Understand what types of properties (size, price range, features) rent the quickest.Gain deeper insights into property presentation and amenities that correlate with high demand.Thank you in advance for your feedback.

I assume documentation was a top priority here when discovering the property's conditions.

PMs have to keep the utilities working for various reasons (uninhabitable living conditions, pipes freezing, etc) and you can't count on a tenant like this to do that.

Implementing a value add strategy, which will raise rents and force appreciation has been an unfair advantage in just about any market condition. 

In this situation we have a former-tenant  hyper sensitive to return of full security deposit (when unit wasn’t returned in good condition) and we are  experiencing a few unique damages.

It had some good architectural features that people loved, and the original plaster walls downstairs were in great condition, not even cracked.

If two funds need money for litigation support, that seems telling on the current financial condition.

However, its subscription costs can add up, and the effectiveness of direct mail depends on execution and market conditions.

But if I were you I would be making a immediate bee line back to the property (xmas or not) to figure what the heck happened and quickly make an assessment to get the property back in condition. 

The places are kept clean and In perfect condition.