The client receives a tremendous volume of documents that needs to go into oracle fusion. These documents need to be classified before the respective information is extracted. Documents contains financial data and hence high accuracy is required.
- Significant number of documents were processed by bot.
- Response time improved to more than 80%.
- 85% accuracy in fetching data. Human error was eliminated.
- Improved process efficiency with minimal manual effort and training time.
- Activity logs for process, risk and compliance processing.
- 90% reduction in processing time
- 100% accuracy in classification
- Better and Efficient exception handling
About The Case Study
Download this case study to discover how a client receives a tremendous volume of documents that needs to go into oracle fusion and documents need to be classified before the respective information is extracted.
In this case study you will find valuable information including:
- Client Profile
- Key Challenges the client faced
- Auxiliobits’s RPA solution
- Automation Process Flowchart
- Application Used