Complaint trend reporting: automated classification instead of manual analysis.
How a pharmaceutical manufacturer automatically matches complaint reports, classifies new or modified entries, and makes critical cases visible faster, instead of reviewing them manually every two weeks.
Complaint records had to be reviewed manually every two weeks, compared against previous versions, validated, and classified. This process was time-consuming, prone to errors, and provided limited visibility into short-term developments.
An RPA robot exports the complaint report, identifies new or modified entries, and classifies them according to predefined business rules. The final report is saved, and the responsible person receives an email summary highlighting the most important findings.
We can now spot complaint trends continuously instead of waiting until the end of the quarter, giving us more time to respond proactively.
Do you have a similar process?
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