Supply Chain and Manufacturing/ Advanced Supply Chain Optimization
[wtm_use_case_cats]
Identifying the most efficient supply system by optimizing and automating steps of production will become even more important as drugs are increasingly customized to small numbers of patients with certain genetic profiles. When it comes to manufacturing, pharmaceuticals can harness machine learning to control rising equipment maintenance costs and pave the way for self-maintenance through artificial intelligence (AI).
Benefits for the company
Machine learning, and AI techniques allow pharmaceutical companies to better forecast demand and to distribute products more efficiently
Feasability
Medium
Type of expertise/ AI domain
IoT, AutoML
Internal data required
Demand – Supply, Logistics Data, Production Data
Some examples include : Automation of Production runs, demand forecasting, and predictive maintenance. Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets.