Increasing operational costs, labor shortages, and geopolitical tensions are keenly felt by supply chain organizations and highlight the importance of fast, informed decision-making. Join this exciting webinar to learn how a smart data fabric can be used to unify data across disparate sources and accelerate AI-driven decision intelligence. We’ll delve into real-world use cases showing how this approach can be used to leverage real-time predictive and prescriptive analytics, as well as generative AI, to optimize your supply chain operations. Register to learn about smart data fabric and how this approach can help organizations attain an agile supply chain with integrated decision intelligence. Key Takeaways: – InterSystems Smart Data Fabric for consistent unified data – Supercharged problem-solving with Data Fabrics and Generative AI – Accelerated business value to LOB with decision intelligence

Bio-Rad is a global leader in developing, manufacturing, and marketing innovative products for the life science research and clinical diagnostic markets. Join Supply Chain Now’s Scott Luton & Greg White to hear how Bio-Rad has embarked upon a journey to total supply chain transformation; improving forecast accuracy and speed of supply planning, inventory management, end to end visibility, and ultimately improving service to their customers for Finished Goods. Learn how working collaboratively with Kinaxis and IBM, Bio-Rad positively redefined and stabilized core supply chain processes, implementing Kinaxis’ Rapid Response solution. Understand how Bio-Rad adopted a phased approach, beginning as a foundation with demand planning, followed by supply planning, and reporting & analytics. Once this foundation is in place then embarking on a journey to establish robust S&OP and S&OE processes, extending functionality vertically & horizontally, and modelling & optimizing inventory. The overarching goal of this transformation is to deliver improved customer service and responsiveness, whilst simultaneously providing network visibility, driving optimal use of manufacturing assets, and improving cashflow.