With macroeconomic conditions like inflation and changing consumer preferences, supply chain optimization and AI technologies are quickly evolving into margin multipliers that support business use cases that align planning with supply chain design. The rapid pace of business changes has made the design of supply chain networks a tactical and even operational activity in many organizations. Join us for this webinar with GAF and Coupa as we discuss: How Supply Chain Design based decision-making is making its way into various planning processes at organizations The types of decisions made through supply chain design, including strategic design choices, situational business decisions, and operational trade-offs How companies are building resilient supply chains to enable S&OP, inventory policy optimization, transportation spend optimization, and fulfillment model changes How companies can adopt Integrated Scenario Planning capabilities to drive decisions and accountability in a highly matrixed organization

Labor management is a good start to understanding operational performance, but productivity metrics alone are inadequate to drive efficiencies and business results at scale. Learn how Ferguson has superpowered their labor management practices with Operations Financial Management (OpsFM). Their sophisticated approach to data helps them quickly discern the root causes of performance lags – such as labor performance, processes, or a change in workflow. And by managing to both performance and cost metrics, they are able to bridge the understanding between operations and finance. Join Supply Chain Now hosts, Scott Luton and Tandreia Bellamy, along with Blake Engel of Ferguson and Dan Keto of Easy Metrics, as they show you how to bridge that gap. Learn how Ferguson manages their business by the numbers and drives operational efficiencies at scale. In this webinar you will learn: How to factor difficulty of work content and adjust labor to account for it How to identify the causes of waste and take action for efficiency gains The data sources you need to merge and unify to get visibility at this level How to approach metrics to understand process performance What are the key KPIs, from GM to employee, and how to cascade them