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The Evolution and Future of Demand Management

ThroughPut

But to not be able to understand or manage that demand, given the market volatility created by higher customer expectations and shorter fulfillment cycles, has created continuous ripples of chaos in the entire supply chain. Are we able to intuitively align inventory to match demand? If not, how do we get there?

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Forecasting and demand management for new events using machine-learning algorithm

Kinaxis

When it comes to forecasting and demand management , a lot. For events like the Super Bowl, retail demand planners create forecasts using data from a variety of sources to adjust product demand profiles in anticipation of which product, or group of products might be in demand the most. But back to football.

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Transversing the Paradox River

Supply Chain Shaman

Companies have data lakes, but do not use their own data. I don’t understand why companies want to move data in and out of data jails that we call relational databases but are so unaware of the techniques to use data from data lakes through schema on read technology approaches. technologies.

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How Demand Management Enables Supply Chain and Financial Resiliency

Supply Chain Brain

The shock-resistant, resilient supply chain — demand management enables supply chain and financial resilience. In this white paper, you’ll receive insights into: How command centers enable active demand management and prescriptive decision-making.

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Two Penny Model and COVID-19 Breakthrough Cases – Avoiding Data Driven Disaster

Arkieva

Two Penny Model and COVID-19 Breakthrough Cases – Avoiding Data Driven Disaster was first posted on August 2, 2021 at 11:19 am. Learn how a simple binomial model can help anticipate the future including COVID-19 breakthrough cases just as models help a firm estimate it's future.

Modeling 158
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My Take: Let’s Admit Seven Demand Management Mistakes of the Last Decade

Supply Chain Shaman

After two decades of process and technology refinement, excellence in demand management still eludes supply chain teams. It is a complex set of role-based time-phased data. An effective demand plan has MANY numbers that are tied together in an effective data model for role-based planning and what-if analysis.

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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

Some suppliers of demand management software can also provide excellent forecast benchmarking for selected industries. Demand forecasts are improved with access to downstream data (point of sale, Nielsen retail data, and access to competitor promotion schedules). Demand models need to be continuously updated.