Remove Internet of things Remove Metrics Remove Procurement Analytics
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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Predictive analytics helps logistics companies anticipate disruptions and adapt proactively. Internet of Things (IoT): IoT devices monitor vehicle performance and energy usage, enabling real-time optimization. These devices provide actionable data to improve fuel efficiency and reduce maintenance costs.

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Supply Chain Efficiency: A Deep Dive into the Core Drivers

RFgen

Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.

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3 Core Metrics & 10 Soft Metrics for Measuring Supply Chain Performance

GlobalTranz

Sure, supply chain cost reduction is important in reducing the cost of goods sold (COGS) and increasing profit, but there are other measurements which should not be forgotten. 3 Key Metrics for Measuring Supply Chain Performance Beyond Cost Reduction. 10 Soft Metric Considerations in Measuring Supply Chain Performance.

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Throwing Down the Gauntlet

Supply Chain Shaman

It is one thing to write it, but it is a horse of another color to defend it. I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter. Three things are happening, that I think are significant: Flextronics has invested in the development of Elementum.

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Will Arrogance Stunt your Growth?

Supply Chain Shaman

Which supply chain metrics correlate to market capitalization by Morningstar sector? Embrace new technologies: Internet of Things, new forms of analytics, mobility, etc. It is no longer weekly data weekly… or reporting with a day latency. Experiment with these new forms of analytics.

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Bait and Switch

Supply Chain Shaman

The market shift is towards analytics, but this new market is confusing. They are step change requiring either the redeployment of existing technologies or the purchase of new platforms. Data model structures are the difference between success and failure. Build What-if Analytics. Why is this happening? It is still early.

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The New Procurement Reality: Thriving Amid Policy Shifts, Logistics Gaps & Demand Swings

Jaggaer

Supply chain management typically does not fit very well with procurement, which is a challenge at the best of times, and can be a disaster in difficult times. Moreover, behavior can be changed based on sales incentives or things that are happening within the company that dont truly represent demand.