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Supply Chain Resilience. Really?

Supply Chain Shaman

Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Background The Council of Supply Chain Resilience met for the first time this month. What is supply chain resilience? The reason?

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Building Smarter Warehouses with the Latest in Smart Warehousing Technologies

Invata Intralogistics

Today, warehouses are transforming from traditional back-end facilities into high-tech, data-driven distribution centers that are more efficient, accurate, and responsive than ever. Trends toward innovative warehousing are not just about innovation but survival and growth in an increasingly competitive market.

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A Problem Persists: Reliance on the Just-In-Case (JIC) Supply Chain Model

Enterra Insights

The Just-In-Time Supply Chain Model vs. Just-In-Case Supply Chain Model Several years ago, when the pandemic became a full-blown global crisis, most supply chains used the “just-in-time” model, which relies on resources and goods being available right when they’re needed. As Jessica L.

Modeling 130
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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

The question was, “How can I redefine demand planning processes to use channel data?” Their question was, “Why were consumer products companies not using retail data to drive demand processes?” A forecast is a time-phased view, or projection, of future demand. In an implementation, the details matter.

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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. This new dashboard gives retailers a lot of supply chain data to see where they stand.

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Don’t Forecast Demand, Model Your Demand

ToolsGroup

Demand modeling is different from demand forecasting. Simply put, it doesn’t forecast demand, it models demand. Forecasting typically starts with a time series of data—usually presented as a bar chart displaying demand by month or by week. Model demand from the bottom up.

Modeling 177
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Omnichannel Retailers Leverage Optimization for Order-Promising

Logistics Viewpoints

Historically, omnichannel software solutions were not capable of optimization. They can also order online and have goods shipped to their home. For an online order that needs to be delivered within 24 hours, for example, the rule might state that the goods should be shipped to the consumer from the closest location.