Ignorance occurs when the outcomes are not known (or predicted); uncertainty occurs when the outcomes are known (or predicted) but the probabilities are not; an... Read More...
Since 2011, I’ve been teaching Supply Chain Risk Management at Lehigh University. Developing a new MBA class in Supply Chain Risk for our supply chain MBA stude... Read More...
Predictions are big business. The market for predictive analytics is expected to reach $12.4 Billion by 2022 as Artificial Intelligence (AI) becomes more widesp... Read More...
Over the past few years, the Demand Planning community has become quite starry eyed over advancements in predictive software and tools. The concepts of “Big Dat... Read More...
At Nespresso, we started the Collaborative Demand Planning (CDP) initiative two years ago, with the aim of forecasting Nespresso sales in a data-driven way. The... Read More...
Some time ago I was on a call with IBF board members discussing situations where social media data signals rapid changes in demand for a product. These data mig... Read More...
When it comes to Machine Learning in Supply Chain Planning, how many of us can say we are ready to reap the benefits? If we are not quite there yet, what do we ... Read More...
This holiday season, I find myself reflecting on omnichannel forecasting, and my days as a buyer for Bonwit Teller in the late 1980s. As buyers, we developed ou... Read More...
If, like me, you work in a small to medium sized enterprise where forecasting is still done with pen and paper, you’d be forgiven for thinking that Machine Lear... Read More...
It is widely acknowledged that the right demand plan can balance inventory levels with costs and lead to positive cash flow and higher customer satisfaction. Th... Read More...
