Seriously Stumped vs. Complicated Rent Roll

The term Sunday Scaries’ was coined by Gen Z, but if we’re being honest, they’re not new — and they’re certainly not uncommon. For those of you that *don’t* know what they are, Sunday Scaries are those little worries about work that creep up on you and ruin what should have been a pleasant Sunday evening.

“Did I reply to that email?”

“I’m not sure I’m going to make that deadline.”

“I’m triple-booked starting at 7 AM.”

You get the idea. It’s not fun when it’s happening to you, but having a helping hand can make all the difference. Wherever you sit in the world of CRE lending, we’re getting ahead of it. How? We’ve put some common ‘worries’ down on paper and sent them to Blooma’s resident product expert Rachel Gammons to dream up quick and crafty solutions so you can get back to whatever it is that you should have been doing on your Sunday.

First up, Seriously Stumped.

Hey Seriously Stumped,

Ah, the age-old PDF to Excel problem! Believe me, we’ve all been there! Sure, you could just do it all by hand…but at what cost? Missed deadline? No sleep tonight? Sounds like you need to branch out and try Blooma. Just upload the rent roll to Blooma, no matter the file format, and our AI technology will read and parse it for you in a matter of minutes. Keep reading to find out how.

Best of luck,

Rachel

You have two options for uploading a rent roll in Blooma; you can upload a rent roll at deal creation or at any point during the deal process by uploading to the Document Upload Center. 

Rent Rolls can be in any file format, including PDF and Excel. As long as the file is legible to the human eye, the system can read it. Any type of rent roll is accepted. This includes complicated formatting and all Blooma-accepted asset types (Multifamily, Office, Retail, Land, Hotel, Industrial, Distribution Warehouse, Flex Office, Self Storage, Senior Housing, Special Purpose).

After uploading a rent roll to the system, it takes approximately 30 minutes for the rent roll data to be parsed. Data points that are read and parsed include: unit number, tenant name, monthly rent, annual rent, square footage, monthly rent/SF, annual rent/SF, lease start, lease end, lease type, total number of units, total revenue, vacancy, total SF, tenant turnover, pre-lease %, and unit mix details. 

Below is a sample of how a rent roll is read and parsed into the Blooma system:

Any data that is read and parsed into the system can be pushed into your own underwriting templates in a matter of seconds. Your proprietary underwriting templates are mapped by Blooma experts so that you can download any data points from Blooma into your own workflow. Here is a sample of how a rent roll might look in a template:

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Meet Rachel.

Rachel Gammons started her career as an underwriting analyst at Greystone, eventually taking the lead as an Underwriter for their agency lending platform. Today, she is a Client Engagement Director at Blooma and helps users solve for business challenges in real time.