It is essential to continuously revisit and modernize your demand forecasting processes so they adapt to current market realities. This article outlines the bas... Read More...
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...
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...
Question
Dear Dr. Jain,
I work for a large multinational FMCG - it is considered a group norm to use a high level, statistically modeled forecasting tool fo... 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...
Forecast accuracy has always been measured, but now it is becoming a key performance indicator (KPI) for many supply chains. But are we measuring the right thin... 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...
Sales and Operation Planning (S&OP) is probably the least understood aspect in Supply Chain Management. It provides the key communication links for top mana... Read More...
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