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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.

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Just Jump

Supply Chain Shaman

The Company was attempting to gain economies of scale by grouping manufacturing technologies within a common infrastructure to reap the benefits of a co-generation facility, a centralized warehouse, and a talented administrative team. In my forty years of studying supply chain planning, the groups became larger, but with questionable results.

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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. The issue is that most companies did not hold groups within the organization accountable for bias and error. Supply chain leaders want to improve it, but are not optimistic that they can make improvements.

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Challenges for the Metals Industry – How USC Consulting Group Can Help (eBook)

USC Consulting Group

Download our eBook Challenges for the Metals Industry: How USC Consulting Group Can Help to learn the strategies USC is applying to help our clients overcome obstacles, like: COVID-19 safety protocol challenges. Demand management decisions. Supply chain disruptions. Excessive cycle time or time for changeovers.

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Elevating The Voice of the Supply Chain Contrarian

Supply Chain Shaman

While companies that supply chain leaders believe are top performers– J&J, P&G, and Unilever– do not outperform their peer group. I list sixteen in Table 2, but of the 29 companies listed in the Gartner Top 25, 27 underperform their peer group sector. Is this success? Is this success? I don’t think so.

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Data Science Without Modeling Impact is a Path to Disaster – Simulation to Explore the Impact of Group Size on COVID-19 Spread

Arkieva

In this blog post, we will briefly review some examples of being “COVID-19 adrift” with just data and then focus on the primary task – demonstrating how modeling can be used to understand the impact of group size on COVID-19 spread.

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American Software to Present at the Sidoti Winter Virtual Small Cap Investor Conference

Logility

Recognized for its high-touch approach to customer service, rapid implementations and industry-leading return on investment (ROI), Logility customers include Big Lots, Husqvarna Group, Parker Hannifin, Sonoco Products and Red Wing Shoe Company. Demand Management, Inc. Customers of New Generation Computing, Inc.