Hurricane Harvey’s Impact on Business Forecasts, and Other Key Factors Demand Planners May Want to Consider

As difficult as it is to forecast a hurricane’s intensity and where it will make landfall—it may be equally challenging for companies to forecast and understand the full impact of such an event on their sales. Hurricane Harvey will certainly ripple through many organizations’ supply chains for months to come and what they may discover is that this could be costlier than any hurricane… Read more>>

Scenario Analysis for S&OP

Today’s business environment is becoming ever more volatile and complex. Market dynamics are changing rapidly and lead times required to respond are weeks or days, not years and months. The more your business experiences supply side volatility, demand uncertainty, or both, the more you need to understand their impact and the ability to respond. For that, scenario analysis is a must… Read more>>

How New Demand Planners Pick-up Where the Last one Left off at Unilever

The demand planner serves as the unbiased arbiter in the S&OP cycle. This role involves taking a cold hard look at manufacturing, logistics, marketing, sales and finance to paint an objective picture of demand. A strange blend of cross-departmental cooperation, leadership and statistical analysis, demand planners are the rarest of breeds. This unique combination of analysis, leadership… Read more>>

eCommerce/Omnichannel Planning & Forecasting – Special IBF Journal Issue

The lastest special issue of IBF's Journal of Business Forecasting (JBF) - Winter 2016-2017, is dedicated to the newly emerged channel of distribution, e-Commerce. A total game changer, it has disrupted many markets and has revolutionized the forecasting paradigm. It has changed the way manufacturers sell their products and the way consumers buy them. Manufacturers now sell their products… Read more>>

A Critical Look at Measuring and Calculating Forecast Bias

I cannot discuss forecasting bias without mentioning MAPE, but since I have written about those topics in the past, in this post, I will concentrate on Forecast Bias. Forecast Bias can be described as a tendency to either over-forecast (forecast is more than the actual), or under-forecast (forecast is less than the actual), leading to a forecasting error. There are many reasons why such… Read more>>

My Powerful Journey in Demand Planning – Hooked on Analytics

My career in forecasting has been challenging, at times frustrating, and above all immensely rewarding. This is my story of how I learnt to predict consumer trends, and revolutionize the fortunes of the companies I have worked for. It all started at AIWA Consumer Electronics in the early 1990s. Here I was, a fresh MBA in my first Associate Product Manager role for personal audio products… Read more>>