Demand Forecasting, Sales Planning, Big Data Analytics & IBP
We have received several queries about our next Advanced Demand Management workshop. Below are some of the FAQs: What is “Advanced” about this workshop? The workshop content offer sessions … Read More
three day workshop on Demand Planning and Forecasting.
How do we prepare for Black Swan events?
Black Swan events are those highly unpredictable events that occur out of nowhere and cause a systemic shock to the process and the way we do things. They may perennially alter the way we conduct our business.
Bullwhip effect is a phenomenon of demand being overestimated or underestimated as it passes through various stages of supply chain resulting in exaggerated supply fluctuations. The increased variability in … Read More
What is integration? Why is it important? How well should my planning tool integrate with the rest of the system landscape?
We discuss the importance of ERP integration as a criterion in choosing a planning software. Most often software vendors that supply the ERP tools such as Oracle and SAP highlight this as one of the major selling points.
Having worked with many software applications for planning – demand, supply, finance, and S&OP – I have experienced a sense of elation (seeing something work very nicely) and shock (seeing something that work so stupidly on something so obvious). In a series of blog entries starting this week, I am planning to examine the important characteristics of planning software.
This article summarizes the difference between Demand Planning and Demand Management. We raise the question on the role of Demand Planners in Demand Sensing, Demand Shaping and Demand Management.
Demand Planning Net offers a service called Usability consulting where we improve the usability of your statistical tool by performing model tuning, setting the right tool parameters and finally training the planners in statistical modeling. Demand Planning Net has worked with clients helping them leverage the statistical features in their software applications.
• Most applications inherently have the analytical power to develop effective baseline forecasts.
• Most software tools allow you to create exception thresholds so you can streamline the forecasting process by exception.
We segment you…………
The first step to handle intermittent demand should not be looking for a magical statistical model to solve our problems. We should question the reasons for intermittent demand and come up with a business angle to formulate solutions. These may include integrated demand-supply strategies as well as sales intelligence on customer ordering patterns. Applying Croston’s models and discrete distribution models should be the last resort to address intermittent demand problems.
