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 In this session, we’ll discuss how to: Leverage data-driven insights by enhancing outdated processes and systems with purpose-built AI technologies Find million dollars savings hiding in your MRO, while also improving demand forecasting,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

Headquartered in Italy, Dr. Schär leads the market in gluten-free foods, offering a wide range of products for special dietary needs. With over 1,750 employees globally, the company operates 18 sites in 12 countries, boasting 12 production plants and 26 distribution warehouses, delivering to over 100 countries worldwide. During the Covid Crisis, Dr. Schär faced considerable demand and supply variability. The supply chain team at Dr. Schär was able to thrive in the midst of this uncertainty thanks in part to the digital supply chain transformation that had just been completed. With all the supply chain planning activities digitized with ToolsGroup, and with the help of the advanced machine learning and probabilistic capabilities within the platform, the team was able successfully plan sales forecasts, fulfillment, and replenishment for every SKU at every location, along with rough and finite capacity planning. With the redesign of the Supply Chain Planning process Dr. Schaer was able to increase order fill rates by 1.5%, improve forecast accuracy by 3%, and enhance freshness upon shipment by 1.8%. Despite a larger product mix, heightened variability, and increased volumes, Dr. Schär has managed to optimize their inventory performance. The webinar will explain the digital supply chain transformation…