APP RC/AI is a web application designed to centralize, track and analyze customer claims and internal anomalies in a pharmaceutical wholesale company.
The application classifies claims by category, automatically identifies the services involved, tracks case processing, analyzes causes and triggers business actions such as stock counts when an item is concerned.
Each claim is routed to the right department, and each anomaly is tracked until resolution.
In pharmaceutical distribution, customer claims and internal anomalies must be handled quickly and precisely.
A delivery error, stock issue, damaged item, preparation anomaly or internal discrepancy can have a major impact on service quality, customer satisfaction and internal organization.
Before the application, information could be scattered across departments, emails, files or internal exchanges. The project centralizes all cases in a clear platform to strengthen traceability and quality management.
The interface gives a quick view of open, in-progress, resolved or pending-action claims. Teams can track cases by status and identify priorities without losing time.
This view also helps understand overall trends: most frequent categories, departments involved and case evolution over time.
Claims and anomalies are structured by category. Each category can be linked to responsible departments so the case is routed to the right people from the start.
This reduces information loss between teams and makes handling smoother.
For each case, teams can document causes, observations and corrective actions. This keeps a clear record of the analysis performed and the decisions made.
When an item is concerned, the application can also prepare a stock count to quickly verify the real situation.
We designed a clear, structured and business-oriented web application adapted to the needs of a pharmaceutical wholesaler.
The goal was to give teams a single interface to create, track, analyze and resolve customer claims and internal anomalies.
The platform improves case organization through categories, automatically routes claims to the relevant departments and keeps a full record of processing.
Dashboards and statistics provide better visibility on recurring problems, processing times and main causes. Automatic item-related checks also make it possible to react faster when a stock discrepancy is reported.
Thanks to this solution, claim processing becomes faster, more reliable and more transparent.
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