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Duration 4 hours
Course Outline
Introduction to AI in Everyday Business
- What is AI? Debunking myths versus reality
- AI categories: Machine learning, NLP, and computer vision
- Real-world examples within retail, food service, and fuel stations
Case Study Highlights
- Retail: AI-driven 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
- Utilizing ChatGPT or comparable tools for customer service and FAQs
- Experimenting with basic image classifiers or data predictors
- Leveraging AI to analyze customer feedback and reviews
Hands-on Module 2: AI for Business Scenarios
- Workshop simulation: Implementing AI in a small retail outlet
- Interactive challenge: Using AI to reduce waste in food service
- Discussion: Visualizing an AI-enhanced fuel station
Roadmap to Getting Started with AI
- Getting started small: Free tools and services
- Identifying internal champions and suitable areas for AI testing
- Q&A and open discussion
Summary and Next Steps
Requirements
- Fundamental familiarity with digital systems or operational tools
- An interest in exploring practical AI applications in business contexts
Target Audience
- Managers and staff in retail
- Professionals working in food service operations
- Managers or decision-makers in the fuel station industry
