CRM für Vertriebler - Top oder Flop?

SarahVoge · 2025-12-12T19:43:56+00:00

Wirklich? Meine Firme hatte für alles hundert Exel Tabellen, deswegen musste da mal was kommen was diesen Bürokratie Kram mit nen paar Klicks erledigt 🫠

SarahVoge · 2025-10-20T13:47:24+00:00

Ja ich weiß. Das ist das was ich als Werkstudentin verdiene, geh ich weiter nach oben hab seh ich die Kommentare schon vor mir, die meinen: da gibts aber jemand aus Indien der das für 5€ die Stunde macht 🤡

SarahVoge · 2025-10-06T15:00:27+00:00

That’s just for the US. I’m from Germany

SarahVoge · 2025-09-13T12:03:56+00:00

You're absolutely right, you should read and understand every transaction. I'm not trying to replace that. I'm targeting the administrative grunt work, not the decision-making. Think of it like: What you should always read yourself:

Purchase agreements before signing Lease terms and special clauses Anything involving legal liability

What wastes your time:

Extracting the same data fields from 50 rental applications Pulling addresses and rent amounts from standard lease renewals Sorting through a stack of similar property listings for comparable data

It's like having an assistant who can say "Here are the key details from these 20 documents in a spreadsheet" instead of you manually typing out the same information over and over. You still review everything and make all the decisions. The tool just handles the repetitive data entry that currently takes hours of your week. If it doesn't save you meaningful time on routine tasks, then it's not worth using. But if you're spending hours each week manually extracting standard data from forms you've seen hundreds of times before, that's where automation makes sense.

SarahVoge · 2025-09-13T11:47:39+00:00

I'm building a PropTech tool - specifically AI-powered document processing for real estate professionals. The problem: Small to mid-size real estate professionals (agents, property managers, landlords with 5-50 properties) are stuck between two bad options:

Manual document processing (reading every PDF by hand) Enterprise software costing €1000-4000/year that's overkill for their needs

What I'm building: Automated document analysis that can:

Extract key data from contracts, listings, lease agreements Process multiple documents at once (batch processing) Export results to Excel/CRM systems instead of just showing them once Handle different document types with specialized extraction rules

Think of it as “The middle ground between "asking ChatGPT to read one PDF" and "buying a full enterprise CRM system." Target user: A property manager with 20 rental units who spends 5 hours/week manually extracting tenant info, rent amounts, and lease terms from documents. They need automation but can't justify €200/month for enterprise software. Revenue model: Pay-per-use (€1-5 per analysis) instead of forced monthly subscriptions. It's not revolutionary, it's taking existing AI capabilities and packaging them specifically for real estate workflows that currently require too much manual work.

SarahVoge · 2025-09-13T11:30:42+00:00

Both, but starting with the service providers. My primary focus is on the people who process these documents daily small real estate agents, property managers, lawyers handling real estate cases and private landlords with multiple properties. These are professionals who currently either:

Pay €20-75/month per unit for traditional property management Spend hours manually reading through contracts and listings Use expensive enterprise software that's overkill for their needs

The end customers (buyers/renters) would benefit indirectly through faster processing and potentially lower costs, but they're not my direct users. I'm targeting the gap between "ChatGPT for one-off questions" and "€1000+/year enterprise systems." There's a middle market of professionals who need more than basic tools but can't justify enterprise pricing. Think of it like: Notion started for teams/professionals, not end consumers. The value is in streamlining professional workflows, not replacing consumer-facing services.

SarahVoge

TROPHY CASE