About the Client
The client is a US based international boutique consulting firm focused on providing advisory and consulting services to the commercial real estate
- Automate the manually intensive process of loan underwriting.
- Monitor mailbox to manually identify incoming documents related to real estate financial statements.
- Categorize them into Income and Expense statements and assign the appropriate property type.
- Categorize line items of every document into predefined classes.
- Extract data from the appropriate documents, aggregate across months and years and provide reconciliation numbers.
- Automated document monitoring using highly configurable Python Engine.
- Engine scans all given websites, provides notification of the regulations which have undergone a change and downloads them.
- Report on what has been changed is generated.
- Technologies used: Python, Machine Learning, OCR.
- 80% Timely and accurate data.
- Manual errors reduced by 90%.
- Due to automation 10 members SME team was reduced to 2 people caused 80% effort Reduction.
- 90% Cost Reduction.