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AI Automation Impact in Supply Chain Management
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Executive Summary
AI automation is transforming supply chain and warehouse management by enhancing efficiency, reducing operational costs, and boosting the accuracy of demand forecasting. This white paper presents insights from a recent industry survey of C-level Executives from more than 50 companies globally, shedding light on how various sectors utilize AI in their supply chains and warehouses, and the challenges they face. Based on data from companies across industrial goods, retail, healthcare, pharmaceutical, automotive and logistics, this document outlines the state of AI adoption, its impact, and the evolving role of automation in modern supply chain strategies.
Supply Chain and the Importance of Artificial Intelligence
The primary goal of a supply chain is to meet customer demand and foster a responsive network among stakeholders - from suppliers and manufacturers to distributors and ultimately the end customer. Supply chains are becoming more distributed and transparent, yet many organizations face challenges with visibility and access to comprehensive information across the network. To address these issues, Supply Chain Management (SCM) focuses on digitalizing processes and integrating stakeholders, ensuring products align with customer needs.
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