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Supply Chain Analytics: Benefits, Challenges & Architecture

SCMDOJO

Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?

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The Role of Digitisation and Analytics in Supply Chain Resilience

The Logistics & Supply Chain Management Society

The Role of Digitisation and Analytics in Supply Chain Resilience. Analytics for Diversifying the Supply Base. There are many tools and software available supported by customised models and templates that can quickly analyse documents, populate a risk assessment, and offer indicators of risk-level.

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The Promise and Peril of Generative AI for Supply Chains

Logistics Viewpoints

For knowledge management, imagine generative AI primed to intelligently search all of a company’s internal documentation to solve all kinds of problems from “how did we do this before” to “how do I do this now.” As the economist trio of Agrawal, Gans, and Goldfarb explain , AI makes predictions, which are inputs into decisions.

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Handfield’s Supply Chain Analytics Predictions for 2014

Supply Chain View from the Field

I visited the BVL Kongress in Berlin, and also attended the International Institute for Analytics ”Chief Analytics Officer” meeting last summer. We just finished hosting over 150 executives at our Supply Chain Resource Cooperative, with a theme on Supply Chain Analytics.

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A World in Flux: Global Supply Chain Predictions for 2021

ToolsGroup

So your firm recently released a report of 2021 predictions and there’s a lot of great information in there. And because of that, when we- and we do predictions, we’ve done this since our inception in 2008 and we’ve had a traditional format for how we do our predictions. Bob Ferrari: Thank you, Mary.

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Do You Really Understand What’s Driving Your Demand Planning Processes?

Logility

Descriptive, predictive and prescriptive analytics should be combined to optimize your demand planning processes. To really exploit your new data to gain an advantage, you need a clear analytical plan, specific metrics tailored to your situation, and an understanding of what analytics and reporting will help you the best.

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Logility Partners with Planalytics to Systematically Address the Impacts of Weather in Demand, Inventory and Replenishment Planning

Logility

Planalytics’ weather-driven demand analytics help businesses stay ahead of never-ending sales variability. Logility customers can leverage Planalytics weather-driven demand analytics to factor in the weather’s influence on top line revenue and product/category sales across specific time periods and locations. ATLANTA – Jan.