Let’s face it, MRO inventory is usually overbought and underinsured, costing millions. But organizations rarely do anything about it because they’re convinced their data just isn’t in a good enough place to make MRO optimization a priority. But perfect data doesn’t exist, it never will, no matter how many data cleanses you waste money on. Explore how AI is creating a new approach to MRO/indirect materials optimization and bridging the gap between procurement and operations teams, while breaking the stigma of having to have perfect data to get started. Learn how leading manufacturers have adopted an AI approach and have learned the secret that’s been hiding in plain sight. We’ll discuss topics such as: -Eliminating the need for lengthy and costly data cleanse projects -Increasing visibility of spend and price variances to reduce tail spend -Building confidence in your MRO inventory availability to ensure you will have the right part at the right time at the right place, at the right cost -Identifying millions in savings opportunities through inventory deduplication, revamped stocking policies, and network-sharing opportunities

Danone is on an ongoing transformation journey to create a consumer-centric and proactive supply chain so that it can more rapidly adapt to changing market conditions and unexpected disruptions, while also ensuring that operations become more sustainable. Improving forecasting accuracy is one of the enablers of this journey. By using advanced forecasting techniques enabled by Artificial Intelligence, Danone can more effectively predict and plan for potential disruptions or events. In this Supply Chain Now webinar, hear from Marc Martinez, Global Operations Transformation Director at Danone, and Anna Linden, Global head of Supply Chain Planning at SAP, about how you can initiate and steer a successful digital transformation journey in your company that brings you ahead of the competition. Learn how you can … · Start transforming your business with a digital, integrated planning approach. · Approach the sensitive topic of change management and acceptance for an automated process. · Improve forecast accuracy with embedded AI technology and external data in SAP IBP. · Drive supply chain efficiency with an automated planning approach. · Increase customer satisfaction.