Most forecasting approaches are based on the idea that a forecast can be improved if the underlying factors in the data can be identified and forecasted separat... Read More...
Forecasting demand for a new product is much more difficult than existing products because there is no historical data to be taken as a reference, and acceptanc... Read More...
Even if you read data analytics news only occasionally, I’m pretty sure you’ve come across something called ‘deep learning,’ but how does it benefit demand fore... Read More...
Even though you know why predictive analytics is important to your organization, others may not. Some people in your company don’t understand it yet. That’s OK.... Read More...
Question
Dear Dr. Jain,
We are currently working on improving our forecast accuracy. One of the ideas is to create an 'all other' group for the smaller cust... Read More...
In demand planning we often talk about those unicorns who are analytically minded and yet can still deal with ambiguity and relate to people. They are rare crea... Read More...
Using AI to gain a competitive advantage over the next few years is not about better forecasts. What is often missed about predictive analytics is the power to ... Read More...
As a discipline, predictive analytics has been around for many decades and has been a hot topic in academia for many years. Its application in the field of dema... Read More...
So you set up an S&OP process and started doing demand planning. But your forecast accuracy isn't improving and your service levels are still low. Y... Read More...
Predictive analytics can help us estimate how many units we will sell of the product, but that’s not the only thing predictive analytics tells us about. Busines... Read More...
