Skills you will learn

  • Generative AI Fundamentals
  • Understanding Retail Data
  • AI-Driven Decision Making
  • Machine Learning vs Generative AI in Retail
  • Responsible AI Practices
  • Risk Management
  • AI-Powered Personalized Recommendations
  • Customer Behavior Analysis
  • Retail Signal Analysis
  • Demand Forecasting
  • Inventory Optimization
  • AI-Driven Supply Chain Decision Support
  • Retail Operations Automation Using Generative AI

Who should learn

  • Beginners
  • Retail professionals
  • Business analysts
  • Data professionals
  • Product managers
  • Supply chain professionals
  • Operations professionals
  • Marketing professionals
  • Students

What you will learn

  • Free AI-Powered Retail Operations & Supply Chain Course

    • Lesson 01: Course Introduction

      02:04
      • 1.01 Course Introduction AI Powered Retail Operations
        02:04
    • Lesson 02: Learning Objectives

      02:02
      • 2.01 Learning Objectives
        02:02
    • Lesson 03: GenAI Foundations in Retail

      36:27
      • 3.01 Rule Based Retail Systems and Their Limitations
        02:56
      • 3.02 Machine Learning in Retail
        01:15
      • 3.03 Four Pillars of Retail Data
        01:31
      • 3.04 Traditional Machine Learning vs Generative AI in Retail
        02:45
      • 3.05 Responsible Retail AI Risks and Mitigation Strategies
        03:13
      • 3.06 Retail AI Use Cases From Traditional to GenAI
        03:20
      • 3.07 Demo Retail Use Case Ideation with Generative AI Part 1
        12:20
      • 3.08 Demo Retail Use Case Ideation with Generative AI Part 2
        09:07
    • Lesson 04: Personalized Recommendations Using GenAI

      38:41
      • 4.01 Evolution of Recommendation Systems
        02:19
      • 4.02 How Prompts Drive Personalized Recommendations
        04:42
      • 4.03 How Signals Drive Explainable Recommendations
        02:35
      • 4.04 Use Cases of GenAI Powered Personalization
        03:08
      • 4.05 Demo Building Personalized Recommendations with Generative AI Part 1
        12:31
      • 4.06 Demo Building Personalized Recommendations with Generative AI Part 2
        13:26
    • Lesson 05: Inventory Insights and Demand Signals with GenAI

      41:19
      • 5.01 Inventory Challenges and Demand Planning
        03:41
      • 5.02 Demand Signals and Inventory Insights
        02:15
      • 5.03 Inventory Optimization Use Cases
        04:25
      • 5.04 Demo AI Based Inventory Insights and Optimization Part 1
        12:41
      • 5.05 Demo AI Based Inventory Insights and Optimization Part 2
        09:16
      • 5.06 Demo AI Based Inventory Insights and Optimization Part 3
        09:01
    • Lesson 06: Supply Chain Optimization with GenAI

      36:46
      • 6.01 Retail Supply Chain Challenges
        00:59
      • 6.02 Demand Variability and Data Without Direction
        01:36
      • 6.03 GenAI for Decision Support Stockout Prevention and Order Consolidation
        03:24
      • 6.04 Vendor and Lead Time Analysis
        01:30
      • 6.05 GenAI Across Retail Operations
        00:46
      • 6.06 Demo AI Driven Supply Chain Optimization for Retail Capstone Part 1
        11:06
      • 6.07 Demo AI Driven Supply Chain Optimization for Retail Capstone Part 2
        12:14
      • 6.08 Demo AI Driven Supply Chain Optimization for Retail Capstone Part 3
        05:11
    • Lesson 07: Key Takeaways

      01:49
      • 7.01 Key Takeaways
        01:49
      • Knowledge Check
About the Course

Retail businesses handle lots of data every day, like customer preferences, purchase history, products, inventory, and supply chain activities. Traditional systems often struggle to process this data quickly or turn it into useful insights. Now, Artificial Intelligence and Generative AI help retailers make smarter decisions, improve customer experiences, and make daily operations easier.

Through practical examples and demonstrations, you will see how AI can solve real retail challenges, such as making better recommendatio

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FAQs

  • What is AI-Powered Retail Operations?

    AI-Powered Retail Operations refers to using Artificial Intelligence and Generative AI to improve key retail activities such as customer personalization, inventory management, demand forecasting, and supply chain optimization. It helps businesses make faster and more informed decisions using data.

  • Who should take this AI-Powered Retail Operations course?

    This course suits retail professionals, business analysts, operations managers, product managers, data professionals, AI enthusiasts, students, and anyone interested in how AI is transforming the retail industry.

  • Do I need prior AI or technical knowledge to take this course?

    No advanced technical background is required. The course starts with AI fundamentals and explains how Generative AI can solve practical retail challenges.

  • How is Artificial Intelligence changing the retail industry?

    AI is helping retailers improve customer experiences, predict demand, optimize inventory, automate processes, and make smarter decisions by analyzing large amounts of retail data.

  • What are the key concepts covered in this course?

    This course covers AI fundamentals in retail, machine learning applications, Generative AI use cases, personalized recommendations, inventory insights, demand signals, and AI-powered supply chain optimization.

  • What is the role of Generative AI in retail operations?

    Generative AI helps retailers create personalized experiences, generate recommendations, analyze business information, support decision-making, and improve operational efficiency.

  • How does AI help retailers create personalized recommendations?

    AI studies customer behavior, purchase history, preferences, and other data signals to suggest relevant products and create more personalized shopping experiences.

  • What are recommendation systems in retail?

    Recommendation systems are AI-based solutions that suggest products or services based on customer interests, previous interactions, and behavioral patterns.

  • How does AI improve inventory management?

    AI helps businesses understand demand patterns, identify inventory issues, reduce stock shortages, prevent overstocking, and improve product availability.

  • What are demand signals in retail?

    Demand signals are insights gathered from customer behavior, sales trends, market changes, and other data sources that help businesses understand future product demand.

  • How can Generative AI optimize supply chain operations?

    Generative AI helps businesses improve supply chain decisions by analyzing demand changes, supporting order planning, evaluating vendors, reducing stockouts, and identifying areas for improvement.

  • What are the benefits of using AI in retail operations?

    AI helps retailers improve efficiency, reduce costs, enhance customer experiences, optimize inventory, and make more accurate business decisions.

  • Does this course include practical demonstrations?

    Yes, this course includes practical demonstrations covering retail AI applications, personalized recommendations, inventory optimization, and AI-powered supply chain solutions.

  • What will I learn after completing this course?

    After completing this course, you will understand how AI and Generative AI are used in retail for personalization, inventory management, demand planning, and supply chain optimization.

  • Will I receive a certificate after completing this course?

    Yes, learners receive a certificate after successfully completing the course, helping them showcase their knowledge of AI applications in retail operations.

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