Category: Uncategorized

Demand Sensing: Time for capability development

Demand sensing refers to using the POS level data with minimal lag to understand what is being sold, who is buying and what is impacting the demand. Demand Sensing primarily consists of following activities: Using POS or secondary sales data – that means ability to collect and analyze secondary data across market channels, geo etc

A Case For Composite Forecasting

As we know forecasting is a key element of demand planning process. There are various methods available for forecasting, starting from qualitative forecasting to quantitative forecasting. These two methods have their own use. In this article, we are going to talk about composite forecasting and its uses. Composite forecasting is a most talked about term

Outsourced Forecasting – FAQ

Where are the Real Opportunities for Forecast Improvement? The key opportunities for enhancing forecast accuracy and reliability with statistical forecasting applications lies more in a mastery of the forecasting system versus using domain expertise to the machine produced forecasting end result. In fact, most companies have no idea how much their planners are increasing or

How Much Data Is Good For Forecasting?

When a demand planner thinks about Forecasting the first thing that comes to mind is data. It is a common question by the planners about ‘how much data is required for forecasting’. In this article, we are going to discuss about the amount of data required for the reliable Forecasting. First let us burst the

Does your planning software have a genie ?

The function of planning and forecasting goes back a long way and has mentions as an ancient practice in religious and historical texts. Like all other phenomena, the function deals with development and advancement, whether theoretical or technological, in a cyclic manner – Realise, Reconstruct, Refresh and Repeat.  When it comes to modelling times series sales

Forecasting Intermittent Demand – A Proposal

Arguably, SKUs with Intermittent Demand are some of the most challenging to forecast with any modicum of accuracy.  We generally define Intermittent Demand as follows: Intermittent series has demand appear at random with many time periods showing no demand at all. The prominent characteristics of such series are: The time-series contains embedded zeroes The time-series