Automate the processing of 1,000 requests per week
Company
Our client is a company that provides temporary healthcare-related staffing services in various institutions such as hospitals, clinics, prisons, etc.
Challenges
The various customer groups send their needs by e-mail. Every week, more than 1,000 e-mails have to be processed.
The format of requests is not standardized. Some requests arrive in the form of e-mails written in natural language, others in the form of Word or Excel tables, PDFs, scanned images, etc.
The challenge, therefore, is tousecase1-9nbssimplify and standardize the staffing needs assessment process.
Solutions
The solution developed consisted of a mailbox monitoring tool that is able to interpret the data contained in the e-mail and in attached documents.
Once interpreted, the essential reservation data is sent to the managers in a consistent, standardized format.
Missing data can also be identified to facilitate follow-up.
With the help of models based on natural language recognition (NLP) and Large Language Model (LLM) like GPT3.5, the tools developed can understand e-mails and recognize the essential data for extraction.
Azure OCR was used to interpret images and PDFs.
In the end, a standardized report is sent to the people responsible for the needs assessment.
Results
A significant increase in employee productivity by significantly eliminating application assessment time.
Increased employee responsiveness to incomplete applications thanks to rapid identification of problem cases
Improved customer service thanks to fast, efficient processing of requests.
