Course Outline

Introduction to Generative AI in Retail

  • Overview of generative AI and its relevance to retail
  • Applications of generative AI in customer experience enhancement and operations optimization
  • Challenges and opportunities of implementing generative AI in retail

Understanding Customer Experience Enhancement

  • Personalization techniques using generative AI
  • Creating interactive customer experiences with AI-generated content
  • Improving customer engagement through generative AI-driven solutions

Optimizing Inventory Management

  • Forecasting demand using generative AI models
  • Dynamic pricing strategies with AI-driven insights
  • Inventory optimization through generative AI-powered recommendations

Sales Forecasting and Demand Prediction

  • Utilizing historical data and generative AI for accurate sales forecasts
  • Predicting trends and customer preferences using AI-generated insights
  • Optimizing product assortment and promotions based on demand prediction

Integrating Generative AI Solutions into Retail Operations

  • Implementation considerations and best practices
  • Integrating generative AI tools with existing retail systems
  • Testing and evaluating generative AI solutions for retail

Ethical Considerations in Generative AI for Retail

  • Ensuring fairness and transparency in AI-driven retail practices
  • Addressing privacy concerns and data protection
  • Compliance with regulations and ethical guidelines

Summary and Next Steps

Requirements

  • Basic understanding of retail operations
  • Familiarity with AI and machine learning concepts (recommended but not required)

Audience

  • Retail managers
  • E-commerce professionals
  • AI specialists
 14 Hours

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