This Is the latest installment in my series of posts dedicated to describing IoT applications in retail. Why do I want retailers to move more quickly in their widescale adoption of IoT in the coming year? Because I'm confident they'll see results, and these use cases help explain how. As
Depending on who you speak with you will get varying definitions and opinions regarding demand sensing and shaping from sensing short-range replenishment based on sales orders to manual blending of point-of-sales (POS) data and shipments. Most companies think that they are sensing demand when in fact they are
Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,
Are you caught up in the machine learning forecasting frenzy? Is it reality or more hype? There's been a lot of hype about using machine learning for forecasting. And rightfully so, given the advancements in data collection, storage, and processing along with technology improvements, such as super computers and more powerful
Machine learning is taking a significant role in many big data initiatives today. Large retailers and consumer packaged goods (CPG) companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the
Over the course of my career as industrial engineer turned supply chain planning advocate I've had the opportunity to work hands-on with many manufacturing and supply chain planning solutions. This has included solutions offered commercially by the usual suspects of ERP and post-SCM consolidation supply chain solution providers. Most of these
Today, we live in a polarized world that divides family members, friends, and business colleagues. It effects everything we do from the way we communicate with one another to how we handle business challenges. I have seen long time business colleagues have passionate discussions to defend their supply chain position
There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to gain sustainable adoption. Adoption alone doesn't necessarily mean it will be sustainable. As
You may not be in London on October 7 to take advantage of the Lancaster Centre for Forecasting's free workshop on promotional forecasting. However, there are still plenty of forecasting educational opportunities coming up this fall: SAS Business Knowledge Series Best Practices in Demand-Driven Forecasting (Chicago, September 24-25) My colleague
I was recently asked by a customer if they should move the responsibility for creating the statistical baseline forecast. They were considering moving it from their regional country offices to their global headquarters. In addtion, they were considering changing the role of their regional demand planners to only make adjustments to
My colleague Charlie Chase, Advisory Industry Consultant and author of the book Demand-Driven Forecasting, has developed a new course for the SAS Business Knowledge Series (BKS): Best Practices in Demand-Driven Forecasting. The 2-day course will be offered for the first time April 20-21 in Atlanta (and then again September 24-25 in Chicago). From the
Because you are already halfway there and you should want the entire process to be data-driven, not just the historical reporting and analysis. You are making decisions and using data to support those decisions, but you are leaving value on the table if the analytics don't carry through to forecasting. In the
Where is global warming when you need it? Throughout much of the southeast, life has been at a standstill since midday yesterday, when 2" of snow and 20oF temperatures brought civilization to its knees. If your life, or at least your forecasting career, is at a similar standstill, make plans to
