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.

In this Agentic Age, Supply chain leaders are racing to adopt AI—but isolated solutions and disconnected systems often limit real impact. The true promise of AI emerges only when we reimagine the supply chain as a fully connected enterprise, breaking down decades-old silos across planning, logistics, materials, finance, and sustainability. In this session, Manik Sharma, Head of Supply Chain GTM AI at Celonis—magic quadrant leader, recognized globally and ranked #3 on the Fortune 50 Most Promising Companies list—will unpack how a modern AI-enabled tech stack can unify fragmented data, systems, and processes through a connected semantic layer that digitizes the physical value chain. Once established, this semantic layer becomes a dynamic foundation for intelligent, data-driven operations by infusing it with enterprise context—from rules, constraints, and parameters to policies and proven models—unlocking true end-to-end enterprise intelligence. This intelligence can then be democratized across the organization to power self-serve analytics, build composable AI solutions, and orchestrate workflows, collaboration, agents, and actions at scale. We’ll explore how companies are using this approach to unlock self-serve analytics, accelerate development of composable AI applications, and orchestrate autonomous workflows and agents at scale. This is not a future vision but a proven path for organizations that…