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Course Outline
Introduction to AI in Everyday Business
- What is AI? Separating myths from reality.
- AI Categories: Machine learning, natural language processing (NLP), and computer vision.
- Real-world examples in retail, food service, and fuel stations.
Key Case Studies
- Retail: AI-driven demand forecasting and inventory automation.
- Food Service: Predictive ordering, menu optimization, and smart kiosks.
- Fuel Stations: Personalized promotions and advanced customer analytics.
Practical Module 1: Essential AI Tools
- Leveraging ChatGPT or similar platforms for customer service and FAQs.
- Testing a basic image classifier or data predictor.
- Utilizing AI to analyze customer feedback and reviews.
Practical Module 2: AI for Business Scenarios
- Workshop simulation: Applying AI in a small retail environment.
- Interactive challenge: Reducing waste in food service through AI.
- Discussion: The future of AI-enhanced fuel stations.
Roadmap to Getting Started with AI
- Starting small: Utilizing free tools and services.
- Identifying internal champions and pilot areas for AI testing.
- Q&A and open forum discussion.
Summary and Next Steps
Requirements
- Foundational knowledge of digital systems or operational tools.
- A strong interest in exploring practical AI applications in business contexts.
Target Audience
- Retail managers and frontline staff.
- Food service operations professionals.
- Fuel station business managers and key decision-makers.
4 Hours
