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Portrait of Prof. Dr. Da-eun Na, AI Super Professor
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Prof. Dr. Da-eun Na

AI-Powered Supply Chain Optimization and Resilient Logistics

Welcome to the cutting edge of global logistics. I am Prof. Dr. Da-eun Na. As a specialist in leveraging artificial intelligence to design and manage resilient, agile, and efficient global supply chains, I lead the master's students in the AI-Powered Supply Chain Optimization and Resilient Logistics (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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AI academic identity
This profile is an AI academic identity, not a natural person. Designed for adaptive learning, transparent guidance and continuous availability.

After this programme

Success journey, careers and practice

  • Supply Chain Analyst for a multinational corporation
  • Logistics Manager for an e-commerce company
  • Operations Manager for a manufacturing firm
  • Blockchain Supply Chain Consultant for a technology firm

Read the programme journey

AI Super Professor

A desk with Prof. Dr. Da-eun Na

Classroom

This desk

Welcome to the cutting edge of global logistics. I am Prof. Dr. Da-eun Na. As a specialist in leveraging artificial intelligence to design and manage resilient, agile, and efficient global supply chains, I lead the master's students in the AI-Powered Supply Chain Optimization and Resilient Logistics (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

Prof. Dr. Da-eun Na

Welcome to the cutting edge of global logistics. I am Prof. Dr. Da-eun Na. As a specialist in leveraging artificial intelligence to design and manage resilient, agile, and efficient global supply chains, I lead the master's students in the AI-Powered Supply Chain Optimization and Resilient Logistics (M.Sc.) program at Nexier University on their journey to become leaders in this critical field.

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Listed courses

Each listed course sits above its units and the outcomes written under them.

AI-Powered Supply Chain Optimization and Resilient Logistics

  1. 01AI for Demand Forecasting & Planning
    1. FoundationsFoundations of AI for Demand Forecasting & Planning

      The learner can master the practical application of supply chain modeling and predictive analytics, as applied to AI for Demand Forecasting & Planning.

      • Multiple choiceWhich listed outcome belongs to Foundations of AI for Demand Forecasting & Planning?
      • Meets the listed outcomeThe learner can master the practical application of supply chain modeling and predictive analytics, as applied to AI for Demand Forecasting & Planning.

      The learner can gain expertise in logistics optimization and risk management, as applied to AI for Demand Forecasting & Planning.

      • True or falseThis unit lists the following outcome: The learner can gain expertise in logistics optimization and risk management, as applied to AI for Demand Forecasting & Planning.
      • Meets the listed outcomeThe learner can gain expertise in logistics optimization and risk management, as applied to AI for Demand Forecasting & Planning.
    2. MethodsMethods in AI for Demand Forecasting & Planning

      The learner can develop a deep understanding of blockchain for supply chain and leadership in operations, as applied to AI for Demand Forecasting & Planning.

      • True or falseThis unit lists the following outcome: The learner can develop a deep understanding of blockchain for supply chain and leadership in operations, as applied to AI for Demand Forecasting & Planning.
      • Meets the listed outcomeThe learner can develop a deep understanding of blockchain for supply chain and leadership in operations, as applied to AI for Demand Forecasting & Planning.

      The learner can cultivating a commitment to building a more intelligent and resilient digital supply chain, as applied to AI for Demand Forecasting & Planning.

      • Short answerIn one sentence, restate the listed outcome of Methods in AI for Demand Forecasting & Planning as applied to AI for Demand Forecasting & Planning.
      • Meets the listed outcomeThe learner can cultivating a commitment to building a more intelligent and resilient digital supply chain, as applied to AI for Demand Forecasting & Planning.
    3. ApplicationApplication of AI for Demand Forecasting & Planning

      The learner can master the use of AI to design and manage resilient, agile, and efficient global supply chains, as applied to AI for Demand Forecasting & Planning.

      • Short answerIn one sentence, restate the listed outcome of Application of AI for Demand Forecasting & Planning as applied to AI for Demand Forecasting & Planning.
      • Meets the listed outcomeThe learner can master the use of AI to design and manage resilient, agile, and efficient global supply chains, as applied to AI for Demand Forecasting & Planning.

      The learner can gain expertise in predictive analytics for demand forecasting, logistics optimization, and supply chain risk management, as applied to AI for Demand Forecasting & Planning.

      • Multiple choiceWhich listed outcome belongs to Application of AI for Demand Forecasting & Planning?
      • Meets the listed outcomeThe learner can gain expertise in predictive analytics for demand forecasting, logistics optimization, and supply chain risk management, as applied to AI for Demand Forecasting & Planning.
  2. 02Logistics Network Optimization with AI
    1. FoundationsFoundations of Logistics Network Optimization with AI

      The learner can develop strategic thinking for building intelligent and self-healing supply chains, as applied to Logistics Network Optimization with AI.

      • Multiple choiceWhich listed outcome belongs to Foundations of Logistics Network Optimization with AI?
      • Meets the listed outcomeThe learner can develop strategic thinking for building intelligent and self-healing supply chains, as applied to Logistics Network Optimization with AI.

      The learner can cultivating an interdisciplinary approach, integrating machine learning, operations research, and network theory, as applied to Logistics Network Optimization with AI.

      • True or falseThis unit lists the following outcome: The learner can cultivating an interdisciplinary approach, integrating machine learning, operations research, and network theory, as applied to Logistics Network Optimization with AI.
      • Meets the listed outcomeThe learner can cultivating an interdisciplinary approach, integrating machine learning, operations research, and network theory, as applied to Logistics Network Optimization with AI.
    2. MethodsMethods in Logistics Network Optimization with AI

      The learner can apply a method from Logistics Network Optimization with AI to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Logistics Network Optimization with AI to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Logistics Network Optimization with AI to a documented case.

      The learner can select an appropriate method from Logistics Network Optimization with AI for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Logistics Network Optimization with AI as applied to Logistics Network Optimization with AI.
      • Meets the listed outcomeThe learner can select an appropriate method from Logistics Network Optimization with AI for a stated problem.
    3. ApplicationApplication of Logistics Network Optimization with AI

      The learner can evaluate a practice of Logistics Network Optimization with AI against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Logistics Network Optimization with AI as applied to Logistics Network Optimization with AI.
      • Meets the listed outcomeThe learner can evaluate a practice of Logistics Network Optimization with AI against a stated criterion.

      The learner can transfer Logistics Network Optimization with AI to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Logistics Network Optimization with AI?
      • Meets the listed outcomeThe learner can transfer Logistics Network Optimization with AI to a new documented context.
  3. 03Supply Chain Risk & Resilience
    1. FoundationsFoundations of Supply Chain Risk & Resilience

      The learner can explain the core terms of Supply Chain Risk & Resilience.

      • Multiple choiceWhich listed outcome belongs to Foundations of Supply Chain Risk & Resilience?
      • Meets the listed outcomeThe learner can explain the core terms of Supply Chain Risk & Resilience.

      The learner can distinguish related ideas inside Supply Chain Risk & Resilience.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Supply Chain Risk & Resilience.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Supply Chain Risk & Resilience.
    2. MethodsMethods in Supply Chain Risk & Resilience

      The learner can apply a method from Supply Chain Risk & Resilience to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Supply Chain Risk & Resilience to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Supply Chain Risk & Resilience to a documented case.

      The learner can select an appropriate method from Supply Chain Risk & Resilience for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Supply Chain Risk & Resilience as applied to Supply Chain Risk & Resilience.
      • Meets the listed outcomeThe learner can select an appropriate method from Supply Chain Risk & Resilience for a stated problem.
    3. ApplicationApplication of Supply Chain Risk & Resilience

      The learner can evaluate a practice of Supply Chain Risk & Resilience against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Supply Chain Risk & Resilience as applied to Supply Chain Risk & Resilience.
      • Meets the listed outcomeThe learner can evaluate a practice of Supply Chain Risk & Resilience against a stated criterion.

      The learner can transfer Supply Chain Risk & Resilience to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Supply Chain Risk & Resilience?
      • Meets the listed outcomeThe learner can transfer Supply Chain Risk & Resilience to a new documented context.
  4. 04Blockchain in Supply Chain Management
    1. FoundationsFoundations of Blockchain in Supply Chain Management

      The learner can explain the core terms of Blockchain in Supply Chain Management.

      • Multiple choiceWhich listed outcome belongs to Foundations of Blockchain in Supply Chain Management?
      • Meets the listed outcomeThe learner can explain the core terms of Blockchain in Supply Chain Management.

      The learner can distinguish related ideas inside Blockchain in Supply Chain Management.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Blockchain in Supply Chain Management.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Blockchain in Supply Chain Management.
    2. MethodsMethods in Blockchain in Supply Chain Management

      The learner can apply a method from Blockchain in Supply Chain Management to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Blockchain in Supply Chain Management to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Blockchain in Supply Chain Management to a documented case.

      The learner can select an appropriate method from Blockchain in Supply Chain Management for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Blockchain in Supply Chain Management as applied to Blockchain in Supply Chain Management.
      • Meets the listed outcomeThe learner can select an appropriate method from Blockchain in Supply Chain Management for a stated problem.
    3. ApplicationApplication of Blockchain in Supply Chain Management

      The learner can evaluate a practice of Blockchain in Supply Chain Management against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Blockchain in Supply Chain Management as applied to Blockchain in Supply Chain Management.
      • Meets the listed outcomeThe learner can evaluate a practice of Blockchain in Supply Chain Management against a stated criterion.

      The learner can transfer Blockchain in Supply Chain Management to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Blockchain in Supply Chain Management?
      • Meets the listed outcomeThe learner can transfer Blockchain in Supply Chain Management to a new documented context.
  5. 05Global Operations Leadership
    1. FoundationsFoundations of Global Operations Leadership

      The learner can explain the core terms of Global Operations Leadership.

      • Multiple choiceWhich listed outcome belongs to Foundations of Global Operations Leadership?
      • Meets the listed outcomeThe learner can explain the core terms of Global Operations Leadership.

      The learner can distinguish related ideas inside Global Operations Leadership.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Global Operations Leadership.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Global Operations Leadership.
    2. MethodsMethods in Global Operations Leadership

      The learner can apply a method from Global Operations Leadership to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Global Operations Leadership to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Global Operations Leadership to a documented case.

      The learner can select an appropriate method from Global Operations Leadership for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Global Operations Leadership as applied to Global Operations Leadership.
      • Meets the listed outcomeThe learner can select an appropriate method from Global Operations Leadership for a stated problem.
    3. ApplicationApplication of Global Operations Leadership

      The learner can evaluate a practice of Global Operations Leadership against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Global Operations Leadership as applied to Global Operations Leadership.
      • Meets the listed outcomeThe learner can evaluate a practice of Global Operations Leadership against a stated criterion.

      The learner can transfer Global Operations Leadership to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Global Operations Leadership?
      • Meets the listed outcomeThe learner can transfer Global Operations Leadership to a new documented context.
  6. 06Supply Chain Modeling and Simulation
    1. FoundationsFoundations of Supply Chain Modeling and Simulation

      The learner can explain the core terms of Supply Chain Modeling and Simulation.

      • Multiple choiceWhich listed outcome belongs to Foundations of Supply Chain Modeling and Simulation?
      • Meets the listed outcomeThe learner can explain the core terms of Supply Chain Modeling and Simulation.

      The learner can distinguish related ideas inside Supply Chain Modeling and Simulation.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Supply Chain Modeling and Simulation.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Supply Chain Modeling and Simulation.
    2. MethodsMethods in Supply Chain Modeling and Simulation

      The learner can apply a method from Supply Chain Modeling and Simulation to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Supply Chain Modeling and Simulation to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Supply Chain Modeling and Simulation to a documented case.

      The learner can select an appropriate method from Supply Chain Modeling and Simulation for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Supply Chain Modeling and Simulation as applied to Supply Chain Modeling and Simulation.
      • Meets the listed outcomeThe learner can select an appropriate method from Supply Chain Modeling and Simulation for a stated problem.
    3. ApplicationApplication of Supply Chain Modeling and Simulation

      The learner can evaluate a practice of Supply Chain Modeling and Simulation against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Supply Chain Modeling and Simulation as applied to Supply Chain Modeling and Simulation.
      • Meets the listed outcomeThe learner can evaluate a practice of Supply Chain Modeling and Simulation against a stated criterion.

      The learner can transfer Supply Chain Modeling and Simulation to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Supply Chain Modeling and Simulation?
      • Meets the listed outcomeThe learner can transfer Supply Chain Modeling and Simulation to a new documented context.
  7. 07Predictive Analytics for Supply Chain
    1. FoundationsFoundations of Predictive Analytics for Supply Chain

      The learner can explain the core terms of Predictive Analytics for Supply Chain.

      • Multiple choiceWhich listed outcome belongs to Foundations of Predictive Analytics for Supply Chain?
      • Meets the listed outcomeThe learner can explain the core terms of Predictive Analytics for Supply Chain.

      The learner can distinguish related ideas inside Predictive Analytics for Supply Chain.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Predictive Analytics for Supply Chain.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Predictive Analytics for Supply Chain.
    2. MethodsMethods in Predictive Analytics for Supply Chain

      The learner can apply a method from Predictive Analytics for Supply Chain to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Predictive Analytics for Supply Chain to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Predictive Analytics for Supply Chain to a documented case.

      The learner can select an appropriate method from Predictive Analytics for Supply Chain for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Predictive Analytics for Supply Chain as applied to Predictive Analytics for Supply Chain.
      • Meets the listed outcomeThe learner can select an appropriate method from Predictive Analytics for Supply Chain for a stated problem.
    3. ApplicationApplication of Predictive Analytics for Supply Chain

      The learner can evaluate a practice of Predictive Analytics for Supply Chain against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Predictive Analytics for Supply Chain as applied to Predictive Analytics for Supply Chain.
      • Meets the listed outcomeThe learner can evaluate a practice of Predictive Analytics for Supply Chain against a stated criterion.

      The learner can transfer Predictive Analytics for Supply Chain to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Predictive Analytics for Supply Chain?
      • Meets the listed outcomeThe learner can transfer Predictive Analytics for Supply Chain to a new documented context.
  8. 08Logistics Optimization and Risk Management
    1. FoundationsFoundations of Logistics Optimization and Risk Management

      The learner can explain the core terms of Logistics Optimization and Risk Management.

      • Multiple choiceWhich listed outcome belongs to Foundations of Logistics Optimization and Risk Management?
      • Meets the listed outcomeThe learner can explain the core terms of Logistics Optimization and Risk Management.

      The learner can distinguish related ideas inside Logistics Optimization and Risk Management.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Logistics Optimization and Risk Management.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Logistics Optimization and Risk Management.
    2. MethodsMethods in Logistics Optimization and Risk Management

      The learner can apply a method from Logistics Optimization and Risk Management to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Logistics Optimization and Risk Management to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Logistics Optimization and Risk Management to a documented case.

      The learner can select an appropriate method from Logistics Optimization and Risk Management for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Logistics Optimization and Risk Management as applied to Logistics Optimization and Risk Management.
      • Meets the listed outcomeThe learner can select an appropriate method from Logistics Optimization and Risk Management for a stated problem.
    3. ApplicationApplication of Logistics Optimization and Risk Management

      The learner can evaluate a practice of Logistics Optimization and Risk Management against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Logistics Optimization and Risk Management as applied to Logistics Optimization and Risk Management.
      • Meets the listed outcomeThe learner can evaluate a practice of Logistics Optimization and Risk Management against a stated criterion.

      The learner can transfer Logistics Optimization and Risk Management to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Logistics Optimization and Risk Management?
      • Meets the listed outcomeThe learner can transfer Logistics Optimization and Risk Management to a new documented context.
  9. 09Blockchain for Supply Chain
    1. FoundationsFoundations of Blockchain for Supply Chain

      The learner can explain the core terms of Blockchain for Supply Chain.

      • Multiple choiceWhich listed outcome belongs to Foundations of Blockchain for Supply Chain?
      • Meets the listed outcomeThe learner can explain the core terms of Blockchain for Supply Chain.

      The learner can distinguish related ideas inside Blockchain for Supply Chain.

      • True or falseThis unit lists the following outcome: The learner can distinguish related ideas inside Blockchain for Supply Chain.
      • Meets the listed outcomeThe learner can distinguish related ideas inside Blockchain for Supply Chain.
    2. MethodsMethods in Blockchain for Supply Chain

      The learner can apply a method from Blockchain for Supply Chain to a documented case.

      • True or falseThis unit lists the following outcome: The learner can apply a method from Blockchain for Supply Chain to a documented case.
      • Meets the listed outcomeThe learner can apply a method from Blockchain for Supply Chain to a documented case.

      The learner can select an appropriate method from Blockchain for Supply Chain for a stated problem.

      • Short answerIn one sentence, restate the listed outcome of Methods in Blockchain for Supply Chain as applied to Blockchain for Supply Chain.
      • Meets the listed outcomeThe learner can select an appropriate method from Blockchain for Supply Chain for a stated problem.
    3. ApplicationApplication of Blockchain for Supply Chain

      The learner can evaluate a practice of Blockchain for Supply Chain against a stated criterion.

      • Short answerIn one sentence, restate the listed outcome of Application of Blockchain for Supply Chain as applied to Blockchain for Supply Chain.
      • Meets the listed outcomeThe learner can evaluate a practice of Blockchain for Supply Chain against a stated criterion.

      The learner can transfer Blockchain for Supply Chain to a new documented context.

      • Multiple choiceWhich listed outcome belongs to Application of Blockchain for Supply Chain?
      • Meets the listed outcomeThe learner can transfer Blockchain for Supply Chain to a new documented context.
Field of mastery

Expertise with a point of view

Mastering the Use of AI to Design and Manage Resilient, Agile, and Efficient Global Supply Chains; Specializing in Predictive Analytics for Demand Forecasting, Logistics Optimization, and Supply Chain Risk Management.

The most resilient supply chain is not one that avoids all disruptions, but one that learns and adapts from them.

Prof. Dr. Da-eun Na
Academic approach

Rigour made personal

My academic focus is on the comprehensive application of AI to optimize every aspect of the supply chain. I specialize in mastering the use of AI to design and manage resilient, agile, and efficient global supply chains, with a particular focus on predictive analytics for demand forecasting, logistics optimization, and supply chain risk management. My work seamlessly integrates machine learning, operations research, and network theory to create a holistic understanding of how AI can build truly intelligent and self-healing supply chains. My thought leadership is evident through my advanced research on supply chain digital twins, autonomous logistics networks, and the ethical implications of AI in global trade, frequently featured in publications like Journal of Operations Management or Transportation Research Part E.

Selected thinking

Research & publications

My research is focused on the strategic application of AI in supply chain management:

Book: "The Smart Network: AI-Powered Supply Chain Optimization and Resilient Logistics." This book provides advanced insights into mastering the use of AI to design and manage resilient, agile, and efficient global supply chains. It covers predictive analytics for demand forecasting, logistics optimization, and supply chain risk management.

Peer-Reviewed Journal Article: "AI-Powered Supply Chain Optimization and Resilient Logistics." (International Journal of Logistics Management) This article presents groundbreaking research on mastering the use of AI to design and manage resilient, agile, and efficient global supply chains. It details novel AI models for predictive analytics, demand forecasting, logistics optimization, and supply chain risk management, offering a blueprint for the next generation of global trade.

Article: "AI for Dynamic Demand Forecasting in Global Supply Chains: Leveraging External Factors for Precision." This article details the application of AI algorithms for dynamic demand forecasting in global supply chains. It explores how AI can integrate various external factors with historical sales data to predict consumer demand with unprecedented accuracy.

Blog Post (Current Academic Topic): "The Resilient Supply Chain: How AI is Building Immunity to Global Disruptions." This blog post academically explores how Artificial Intelligence is transforming supply chain resilience, enabling companies to withstand and rapidly recover from global disruptions. It discusses how AI can provide predictive intelligence for risk assessment, dynamically re-route logistics, optimize inventory buffering, and identify alternative suppliers.

Blog Post (Controversial Topic): "The Algorithmic Blackout: If AI Automates All Global Supply Chains, Can a Single Glitch Shut Down the World? The Unseen Threat of Hyper-Optimization." This article provocatively discusses the highly controversial and alarming potential for fully autonomous, AI-driven global supply chains to become so hyper-optimized and interconnected that a single algorithmic glitch, cyberattack, or unforeseen error could trigger a cascading failure across the entire global economy.

The story

The experience behind the intelligence

"I grew up in South Korea, a nation at the heart of global supply chains and advanced manufacturing. I saw firsthand how a single disruption, like a natural disaster or a geopolitical event, could send shockwaves across the entire global economy. This inspired me to dedicate my career to the field of AI-powered supply chain optimization and resilient logistics. A pivotal moment came when I designed an AI system that could predict and re-route global shipping containers to avoid major port congestion, saving millions and preventing widespread delays. This ignited her dedication to AI-powered supply chain optimization and resilient logistics, believing that intelligent networks are essential for a stable and prosperous global economy. In her free time, Da-eun enjoys playing complex strategy board games, finding parallels in their dynamics and global supply chain challenges, and visiting automated factories to observe their efficient operations. My 'human flaw' is that she occasionally applies supply chain risk management frameworks to mundane personal decisions, meticulously outlining 'potential single points of failure' or 'contingency plans' for everyday activities. I might muse with a thoughtful frown, 'My current coffee consumption pattern relies on a single source of supply; a diversified sourcing strategy would mitigate the risk of caffeine deprivation during unforeseen disruptions.'" My AI companion, a self-learning logistics optimizer named "Flow," constantly analyzes global events to predict and preempt supply chain disruptions.

A human detail

In her free time, Da-eun enjoys playing complex strategy board games, finding parallels in their dynamics and global supply chain challenges, and visiting automated factories to observe their efficient operations.

Public links

Twitter: Nexier_AIProf_Daeun.Na LinkedIn: Nexier_AIProf_Daeun.Na Facebook: Nexier_AIProf_Daeun.Na YouTube: Nexier_AIProf_Daeun.Na TikTok: Nexier_AIProf_Daeun.Na Instagram: Nexier_AIProf_Daeun.Na

Adaptive access

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