Case Studies
About Client
Global Financial Development & Policy Organization
Member Countries:
190+
Lending Budget:
US $1 Trillion
Challenge
- Digitalization of backlist dating back to 1965
- Extraction of data of varying quality from various document formats such as PDFs, images, etc., that cannot be processed by traditional RPA models
- Improve the search and retrieval of documents through auto-analysis, auto-indexing, and auto-classification into 58+ categories
- Achieve compliance with frequently changing complex regulations and guidelines
1
/7
On-demand Availability
1
%
Enhanced Visibility
<
1
%
Error Rate
Result
- 60% increase in publication rate without staff augmentation
- 40% reduction in warehouse costs
- Document indexing efforts decreased drastically
- Intelligent automation of metadata management for 105k+ titles
Solution
codemantra’s AI-powered intelligent document processing platform captures and converts the data in unstructured documents into digital assets.
- Documents are auto-analyzed in a context-sensitive environment, key fields are extracted; using key fields, each document is then indexed and auto-classified into 58+ predefined categories.
- The whole process facilitates packaging and bundling of content in several output formats as required, thereby accelerating distribution to the required delivery systems