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Duration 4 hours
Course Outline
Intro to AI in Daily Business Operations
- Defining AI: Distinguishing 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: Leveraging AI for demand forecasting and inventory automation
- Food Service: Implementing predictive ordering, menu optimization, and smart kiosks
- Fuel Stations: Enhancing personalized promotions and customer analytics
Practical Module 1: Foundational AI Tools
- Utilizing ChatGPT or similar platforms for customer service and FAQ management
- Testing basic image classifiers or data prediction models
- Applying AI to analyze customer feedback and reviews
Practical Module 2: AI in Business Contexts
- Simulation workshop: Integrating AI into a small retail environment
- Interactive challenge: Strategies to reduce waste in food service using AI
- Group discussion: Envisioning AI-enhanced fuel station services
Pathway to AI Adoption
- Starting small: Leveraging free tools and services
- Identifying internal champions and pilot areas for AI testing
- Q&A and open forum
Recap and Forward-Looking Steps
Requirements
- Familiarity with digital systems or operational tools
- A genuine interest in applying AI practically within business contexts
Target Audience
- Retail managers and frontline staff
- Food service operations specialists
- Fuel station business managers or key decision-makers