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Course Outline
Introduction to AI in Daily Business Operations
- Defining AI: Separating myths from reality
- Overview of AI types: Machine learning, NLP, and computer vision
- Real-world applications in retail, food service, and fuel stations
Key Case Studies
- Retail: Utilizing AI for demand forecasting and inventory automation
- Food Service: Implementing predictive ordering, menu optimization, and smart kiosks
- Fuel Stations: Applying personalized promotions and customer analytics
Hands-on Module 1: Exploring Simple AI Tools
- Leveraging ChatGPT or similar platforms for customer service and FAQs
- Testing basic image classifiers or data prediction models
- Applying AI to analyze customer feedback and reviews
Hands-on Module 2: AI in Business Scenarios
- Workshop simulation: Integrating AI into a small retail outlet
- Interactive challenge: Strategies for reducing waste in food service via AI
- Discussion: Visualizing an AI-enhanced fuel station
Roadmap for Initiating AI Adoption
- Starting small: Accessing free tools and services
- Identifying internal champions and pilot areas for AI testing
- Q&A session and open discussion
Conclusion and Future Steps
Requirements
- Foundational knowledge of digital systems or operational tools
- A keen interest in investigating practical AI applications within a business context
Target Audience
- Retail managers and staff members
- Professionals in food service operations
- Managers or decision-makers in fuel station businesses
4 Hours
