Artificial Intelligence Improving Inventory Management For Single-Use Systems Manufacturing

By Timothy Korwan, Alex Joyner, and Sarah Ann Landry

Single-use (SU) manufacturers are true system integrators, drawing from a broad range of raw material suppliers to create unique customized fluid handling pathways and systems. Managing this large library of components, and assuring the supply chain, requires advanced inventory management and forecasting tools.

This article explores how machine learning and artificial intelligence (AI) can now use the data gathered from Internet of Things systems like smart shelves and vision systems to generate tangible savings and greater efficiencies in single-use inventory management.