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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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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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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.

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An Overview of Inventory Forecasting

OptiProERP

Inventory forecasting, or demand forecasting, estimates future inventory levels needed using past data, upcoming events, and market trends. Inventory forecasting ensures manufacturers have the proper inventory to meet customers’ needs while minimizing excess inventory costs.

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Do Digital Your Way. Sidestep the Supply Chain Conquistadors

Supply Chain Shaman

It combines robotics, analytics, and the Internet of Things (IoT). McKinsey promises improved agility (not defined) with up to a 30% reduction in operational cost and a decrease in inventory of 75%. (I In contrast, SAP touts an integrated cloud-ready portfolio that includes predictive analytics, automation, and IoT capabilities.

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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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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.