Organizations face constant challenges in optimizing their MRO (Maintenance, Repair, and Operations) data. With vast amounts of capital invested across assets and sites, managing the risk of downtime becomes a crucial, yet often a neglected task. Optimization becomes impossible when trying to make sense of MRO/spare parts data, tangled in a web of fragmented teams, processes, and technology. And attempting to solve these problems with traditional approaches like data cleanses only results in sub-optimized inventory, temporarily clean data, and reactive maintenance strategies – which are not only costly but also a huge headache for procurement and operations teams. Join us as we explore how AI technologies remove data prerequisites, streamline MRO inventory data management, and unlock significant value for your end-to-end MRO inventory and material supply chain, with your data as is. In this session, we’ll discuss how to: Leverage data-driven insights by enhancing outdated processes and systems with purpose-built AI technologies Find million dollars savings hiding in your MRO, while also improving demand forecasting, streamlining tail spend, and enhancing criticality assessments Improve cross-department collaboration between maintenance, operations, and procurement teams to ensure a unified MRO management approach Boost operational efficiency to optimize criticality assessments, inventory management, minimize downtime, and…

Our profession has a tendency to disconnect discussions about how to create high performing supply chains from how to create high performing supply chain employees and teams. We see this in both business and academia. In business, HR is often seen as more administrative than strategic, and supply chain and HR metrics and strategy are often not aligned. It’s a similar situation in academia, with even the great Michael Porter viewing HR as an administrative role. In this webinar, as part of our webinar series, “The Bridge,” we’ll explore the reasons behind the disconnect and how to bridge the gap between supply chains and the people who run them.