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 In this session, we’ll discuss how to: Leverage data-driven insights by enhancing outdated processes and systems with purpose-built AI technologies Find million dollars savings hiding in your MRO, while also improving demand forecasting, streamlining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…

As the repercussions of COVID are still echoing through supply chains around the world, how can businesses adapt to the new reality of constant uncertainty? Optimas Solutions, a major parts distributor and manufacturer, has seen both supply and demand reliability turned upside down. In this session, we’ll have a candid discussion with Optimas’ President of Americas, Daniel Harms and ToolsGroup’s General Manager, Americas, David Barton, about how Optimas maintains service to customers amid protracted supply constraints. You’ll hear practical advice for how manufacturers and distributors can actually plan for uncertainty and lean on technology to keep performance high despite staffing challenges.