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AI & Automation for Supply Chain Resilience
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AI & Automation for Supply Chain Resilience

coursera
coursera

coursera

1.符合資格者將於出貨後三個工作日陸續發送交易訊息通知。2.點數將於廠商出貨後,隔天起算110天後陸續確認發送。3.國際商家之商品金額及回饋點數依據將以商品未稅價格為準。4.國際商家之商品金額可能受匯率影響而有微幅差異。5.禮品卡支付以及使用未授權優惠碼不符合贈點資格。6.點數發送依據及返點上限將以「訂單總金額」計算(不含運費及稅額),不論訂單中有多少商品,於LINE購物皆視為只購買一商品(金額為當筆訂單所有商品加總金額),亦即點數回饋計算並非以coursera實際購買商品數量拆分計算 。7. 同6說明,訂單完成後的顯示金額可能包含部分運費或稅金,可返點金額將以系統回傳金額為準 8.若於商家App下單,不符合LINE購物導購資格。
商品描述

商品描述

Global supply chains are being redefined by uncertainty, from pandemics and geopolitical tensions to raw material shortages and shipping disruptions. In this fast-changing world, organizations can no longer rely on reactive strategies. Building resilience requires intelligence powered by AI and automation. This course explores how technology is transforming supply chain operations into adaptive, predictive systems capable of withstanding real-world shocks. Through engaging examples, simulations, and interactive tools, you’ll learn how data-driven insights, machine learning, and automation can strengthen every stage of the supply chain from procurement to logistics. In Module 1, you’ll explore the foundations of AI and automation in supply chains, understanding key technologies, historical disruptions, and the rise of intelligent tools that enhance forecasting, warehousing, and delivery efficiency. In Module 2, you’ll see these concepts in action, using predictive analytics, real-time dashboards, and automation frameworks to design more resilient systems. You’ll analyze case studies from global leaders like Maersk and Unilever, learning how they anticipate and adapt to disruption. By the end of this course, you will be able to: Analyze how AI and automation improve visibility, speed, and resilience. Apply predictive analytics for proactive disruption management. Design automated workflows that support adaptive decision-making. Evaluate real-world case studies of AI-driven supply chain innovation. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

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