Today’s ecosystem is fraught with volatility, uncertainty, complexity, and ambiguity (vuca) brought on by 2+ years of COVID, the war in Ukraine and multiple socio-political factors. Demand Planners carry the huge responsibility to navigate their organization through these difficult times but are left with traditional tools, starting from the assumption that the past will repeat itself. However, research conducted over the past two years indicate that demand forecasting investments made in AI-based platforms can return up to 6 times greater benefits over investments made in traditional planning systems.   This raises a few questions: Should planners autonomously embrace these new technologies to guide their organization through change? What changes can AI bring to an organization’s planning environment? How will it impact demand planning roles, and will humans be able to stay in control?   In this webinar, experts from Garvis will discuss this topic together with Robert Byrne, the inventor of “Demand Sensing”. They will bring more clarity to these questions and talk about the potential behind a new generation of AI planning solutions.

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.