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Lifting The Gray Curtain

Supply Chain Shaman

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. ” Her answer was telling.

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Will the Downturn Signal an Upturn?

Supply Chain Shaman

As the markets plummet, it is time to remind ourselves that demand is not a forecast. Traditional forecasting approaches are not adequate in a time of market volatility. In the real world, companies operate with a Mean Absolute Forecast Error of 24-60%, and have a bias of 9-40%. I remember December 2007 like yesterday.

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Top 2016 Supply Chain Strategy Posts from the Supply Chain Link Blog

Arkieva

Three Steps to a Better Statistical Forecast Setup. Arkieva COO – Sujit Singh, outlines three essential steps to better statistical forecasting — simulate, measure, refine. She shared that her business had implemented a statistical forecasting package from one of the leading vendors during the previous year.

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S&OP, a vision for the future. The expert interview series #7

Supply Chain Trend

However, S&OP has not yet substantially delivered on its ultimate promise of enterprise wide resource management, rolling financial forecasting and strategy deployment. Whatever maturity model or consultancy support companies use, S&OP seems to get stuck. In the last 30 years S&OP improved performance in many businesses.

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