Case Studies
About Client
Largest Development Bank
Member Countries:
190+
Lending Budget:
US $1 Trillion
Challenges
- Extraction of data of varying quality from diverse sources such as PDFs, Word, scanned files, etc., that cannot be done by traditional methods
- Improve the searchability of critical documents through auto-analysis, auto-indexing, and auto-classification
- Improve accessibility compliance of the content repository and update it on a frequent basis
1
/7
On-demand availability of information in multiple formats
%
Improved accessibility & enhanced distribution of the bank’s resources
0
%
Zero errors encountered during data extraction
Result
- Manual accessibility remediation efforts decreased significantly
- Metadata creation and storage for 100k+ titles
- 80% increase in website traffic
- 50% reduction in overhead costs
Solution
- codemantra’s AI-powered intelligent document processing platform captured and extracted the data in unstructured documents and converted them into accessible digital files
- These files are then auto-analyzed and key fields extracted; using key fields, each document is then indexed and auto-classified to facilitate search and retrieval
- This facilitates packaging and bundling of content in several formats, thereby accelerating distribution to the required delivery systems
