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Intelligent Document Processing for Real Estate
Commercial real estate brokerage
Challenge
The brokerage processed 600+ lease agreements monthly, each requiring manual extraction of 40+ data points. The process consumed 160 staff-hours weekly and produced a 7% error rate that led to costly renegotiations.
Solution
We built an AI document processing pipeline that extracts structured data from lease agreements using OCR and large language models. The system handles multiple document formats, flags ambiguous clauses for human review, and populates the firm's CRM automatically.
Results
Processing Time
16min to 45sec
-95%Data Accuracy
93% to 99.4%
+7%Weekly Staff Hours
160 to 18hrs
-89%Monthly Throughput
600 to 2,400
+300%Technology Stack
PythonGPT-4TesseractFastAPIRedisGCP
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