Client Overview
A prominent asset management firm in the real estate sector, overseeing a diverse commercial portfolio, sought to enhance operational efficiency by modernizing its rent roll management practices.
Problem Statement
The client relied on manual processes to manage rent roll data from multiple properties, resulting in:
- Inconsistent data formats across property managers
- Time-intensive data entry and reconciliation
- Increased risk of reporting errors and delays
- Limited visibility into real-time portfolio performance
This led to inefficiencies and hindered strategic decision-making across the firm.
Solution Provided
Decimal Point Analytics deployed an Intelligent Document Processing (IDP) solution, customized for real estate document workflows:
- Leveraged AI and machine learning to extract structured data from scanned and digital rent rolls
-Standardized data from varied formats and sources - Implemented real-time validation checks for accuracy
- Integrated outputs directly into the client’s internal reporting systems
This end-to-end automation improved the reliability and speed of rent roll data processing.
Outcome
The transformation delivered clear business value:
- 70% reduction in rent roll processing time
- Over 95% data accuracy with automated validations
- Streamlined reporting, enabling quicker asset-level insights
- Freed up analyst time for strategic portfolio analysis
The client achieved faster turnaround times and enhanced decision support.
Key Takeaway
For asset managers handling multi-property portfolios, intelligent automation of rent roll data ensures consistency, reduces operational overhead, and enables real-time visibility—crucial for timely investment decisions.
Interested in modernizing your rent roll and document-heavy processes?
Reach out to Decimal Point Analytics to explore bespoke automation solutions designed for the real estate and asset management industry.
