allow plans to catch up with changes
Accurate prediction of clinical supply chain plans has been made available with IP4cast, combined with Monte Carlo algorithms, real study parameters, and tens of thousands of simulations. By leveraging machine deep learning algorithms to adjust clinical trial supply in real time, it integrates multiple parameters in clinical trials such as patient drop out, drug overtemperature, and expired recall. IP4cast maximizes drug utilization from planning to production , saving tens of millions of dollars in drug costs for sponsors.
Million dollars saving in a single project
+50% in cross-departmental collaboration
+30% in supply drug chain efficiency
Up to 90% in drug utilization rate
Randomization & Trial Supplies
Drug Supply Chain Management
Electronic Data Capture
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