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Amazon and the Shift to AI-Driven Supply Chain Planning

Logistics Viewpoints

Artificial intelligence (AI) is reshaping supply chain operations by enabling predictive planning, allowing companies to anticipate disruptions before they occur and adjust operations accordingly. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods.

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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain

Logistics Viewpoints

A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.

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The Importance of Energy Transition and Sustainability in the Logistics and Supply Chain Industry

Logistics Viewpoints

Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations.

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The Three Pillars of Sustainability in Supply Chain and Logistics: A Strategic Guide

Logistics Viewpoints

Ethical sourcing is a fundamental aspect of social sustainability. Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs. Efficiency is a vital component of economic sustainability.

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Improving Demand Forecast Accuracy with Machine Learning

ToolsGroup

Businesses must analyze vast amounts of data to predict ever-changing consumer behavior accurately. Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Key advantages include : 1. Unsupervised Learning Detects hidden demand patterns without predefined outcomes.

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Are Micro Fulfillment Centers the Next Frontier in Retail Logistics?

The Network Effect

MFCs offer a way to move high-demand inventory closer to consumers and fulfill orders using robotics and automation, often at a lower cost and higher speed than traditional methods. Reducing Cost Per Order Automated MFCs enable batch picking, better inventory control, and more efficient last- mile logistics.