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How to Improve Inventory Turnover with Inventory Optimization

EazyStock

How to Increase Inventory Turnover with Inventory Optimization. The concept of inventory optimization helps many businesses improve their inventory turnover – without damaging stock availability. This post will explain how, but first, let’s deal with a few simple definitions. Improve demand forecasting accuracy.

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The New Definition of Supply Chain Agility and Resilience in an Unpredictable World

Logistics Viewpoints

The definition of agility and resilience will continue to evolve. To improve the entire network’s responsiveness to increasingly shortened lead times, trading partners are working together to seamlessly manage product flow throughout the supply chain and across all fulfillment channels ? And Agility Can Help Improve Profitability Too?

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New Study Shows Global Trade Compliance Is Not Slowing Down Any Time Soon

Logistics Viewpoints

I have recently completed the latest ARC Advisory Market Analysis on Global Trade Compliance, available here. It adopts the International Labor Organizations definition of forced labor and mandates the European Commission to release compliance guidelines by June 2026. Consequently, demand for robust GTC solutions will continue to rise.

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Companies Improve their Supply Chains with Artificial Intelligence

Logistics Viewpoints

Machine Learning, a Form of Artifical Intelligence, Has Feedback Loops that Improve Forecasting. Further, while artificial intelligence helps solve certain types of problems, Jay Muelhoefer – the chief marketing officer at Kinaxis pointed out – optimization and heuristics work better for other types of planning problems.

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Top Takeaways from Coupa Inspire

Logistics Viewpoints

This technology allows businesses to unify their procurement, expense management, invoicing, payments, contract management, and spend analysis processes and reporting. The cloud also allows access to Big Data, which greatly improves the platform’s ability to do machine learning. Coupa meets this definition.

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How AI and Machine Learning Changed Procurement Management

CLX Logistics

Procurement management stands at the crossroads of technological innovation and strategic decision-making. As organizations strive to enhance operational efficiency, mitigate risks, and capitalize on emerging opportunities, the role of Artificial Intelligence (AI) and Machine Learning (ML) in procurement has become increasingly prominent.

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Digital Transformation Journey in Supply Chain Planning

Logistics Viewpoints

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. This includes internal and external data sources.