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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
