Guest opinion: There is no last mile in supply chain

Oct 17, 2019  |  8 min read

Greg White is a founder, CEO, board director and advisor in B2B technology with multiple successful exits. He is a principal and host with Supply Chain Now Radio and recently joined Trefoil Advisory as a Partner to further their vision of stronger companies by delivering practical solutions to the highest-stakes challenges.

Prior to Trefoil, Greg served as CEO at Curo, a field service management solution most notably used by Amazon to direct their fulfillment center deployment workforce. He is most known for founding Blue Ridge Solutions and serving as President & CEO for the Gartner Magic Quadrant Leader of cloud-native supply chain applications. Greg has also held leadership roles with Servigistics, and E3 Corporation, where he pioneered their cloud supply chain offering.  He has led over 100 supply chain initiatives at companies like Amazon, Best Buy, the Limited, Dick’s Sporting Goods, Arc’teryx, Michaels, Dell and more.

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Look closer at out-of-stocks to improve forecast accuracy

Jun 12, 2019  |  5 min read

When it comes to demand forecasting, incorporating out-of-stock (OOS) data is a complex subject that we first addressed in a prior blog post.  It covered the three primary methods for incorporating OOS when developing your demand forecast: exclusion, imputation, and flagging.

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4 ways demand sensing and planning work together

Mar 21, 2019  |  4 min read

Demand planning is a well-established industry process for determining the level of future demand, so production, logistics, and other teams can plan their activities to meet that demand. However, what is perhaps less clear is how a process known as demand sensing is being adopted by progressive and innovative firms to complement demand planning and build a competitive edge in today’s fast-moving consumer goods market.

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How to incorporate out-of-stocks (OOS) in forecasting

Mar 19, 2019  |  4 min read

Out-of-stock (OOS) events present a real conundrum to consumer goods companies when forecasting demand. On the one hand, you can’t simply ignore previous OOS events if you hope to prevent them in the future, but on the other hand, determining the “true demand” if out-of-stocks had not caused lost sales is a complex undertaking.

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The role of seasonality in demand forecasting success

Feb 28, 2019  |  3 min read

As everyone in the consumer goods industry knows, demand forecasting is a demanding business. A serious attention to detail is required to achieve best-in-class accuracy levels.

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What makes a demand forecast best-in-class

Feb 19, 2019  |  4 min read

Forecasting is the process of estimating future demand in order to help make better-informed business decisions today. Across consumer goods brands, teams use forecasts to more intelligently allocate resources, optimize inventory, and maximize revenue.

However, companies vary widely in their forecast accuracy. According to the Institute of Business Forecasting & Planning (IBF), the retail industry averages a 30% error rate when forecasting products one month in advance, and “Best-in-Class Forecast Errors” is even a term in the IBF glossary.

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