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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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Supply Chain Leadership Driving Industry 4.0 & Resilience During Crisis – LogiSYM July 2020

The Logistics & Supply Chain Management Society

Innovation and supplier management calls for cloud-based integrated systems between partners and advanced predictive models. Predictive analytics will quicken demand response and involve product-use insights to improve accuracy against external factors affecting demand (e.g. This boosts revenues and optimises inventory.

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It Ain’t Easy Being Easy!

Supply Chain Insights

What was formerly a rather simple process of planning promotions has now become a complex blend of technology and skill at predicting consumer behavior. The combination of advanced intelligence, integrated predictive planning, and the social media landscape has created an ocean of data (“lakes” seems way to confining, doesn’t it?)

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Building Outside-In Processes

Supply Chain Shaman

Customer sentiment technologies mine the patterns of unstructured text and use new forms of analytics to guide discovery on what matters to the customer. 2) Market-Driven Forecasting. Inside-out, traditional processes forecasting processes use statistical methods to predict the future based on order and shipment patterns.

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6 Strategies for Better Supply Chain Management in the Current Economy

Oracle SCM

The years from 2007 through 2009 were notable for their economic volatility, reflected not only in the global economic recession but also the instability of customer demand and rapid movement in raw material, fuel, and commodity prices. By Maha Muzumdar. Original version published in APICS Extra , July 2010. Agility is the name of the game.

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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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The future of emergency management

DELMIA Quintiq

In order to manage this level of data saturation, leading organizations are turning to Advanced Decision Support capabilities which harness the power of predictive and prescriptive analytics. The number of emergency calls logged during the peak of the event was an increase of 593% on forecasted call volumes.