Vacancies
15% more efficient medicine filling with smart logistics data at Mosadex
Data Science & AI

The challenge

The process had a lot of variability in recipes, cabinet sizes, walkways and demand supply. Until then, the process was partly manual and inefficient.

Our approach

Our consultant developed an application in Azure that automatically calculates cabinet layouts based on recipe combinations, distance and filling capacity. Using Python, SQL and Databricks, real-time control and monitoring was achieved.

context

Mosadex supplies medications to thousands of pharmacies and healthcare facilities. Within CentralFill, efficiency is crucial. They asked IBS to use data to optimize the filling process of medicine cabinets.

The impact

Recipe processing increased from 70% to 85%. The process became reproducible and scalable, knowledge was secured and waste reduced.

Why this case matters

Scalable data engineering is also possible in regulated industries such as pharma. Mosadex shows how this leads to concrete performance improvements.

Isatis business solutions

IBS develops custom applications for supply chain optimization in the healthcare industry – from algorithm to dashboard.