Course Outline

Introduction to AI in Everyday Business

  • What is AI? Myths vs. reality
  • Types of AI: Machine learning, NLP, computer vision
  • Real-world examples in retail, food service, and fuel stations

Case Study Highlights

  • Retail: AI-powered demand forecasting and inventory automation
  • Food Service: Predictive ordering, menu optimization, and smart kiosks
  • Fuel Stations: Personalized promotions and customer analytics

Hands-on Module 1: Simple AI Tools

  • Using ChatGPT or similar tools for customer service and FAQs
  • Experimenting with a basic image classifier or data predictor
  • Using AI for analyzing customer feedback or reviews

Hands-on Module 2: AI for Business Scenarios

  • Workshop simulation: AI use in a small retail outlet
  • Interactive challenge: How AI can reduce waste in food service
  • Discussion: What would an AI-enhanced fuel station look like?

Roadmap to Getting Started with AI

  • How to start small: Free tools and services
  • Identifying internal champions and areas to test AI
  • Q&A and open discussion

Summary and Next Steps

Requirements

  • Basic familiarity with digital systems or operations tools
  • Interest in exploring practical applications of AI in business

Audience

  • Retail managers and staff
  • Food service operations professionals
  • Fuel station business managers or decision-makers
 4 Hours

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