Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 4 hours
Course Outline
Fundamentals of AI in Daily Business Operations
- Defining AI: Separating common myths from practical reality.
- Categories of AI: Exploring machine learning, natural language processing, and computer vision.
- Examining practical AI applications in retail, food service, and fuel station contexts.
Key Case Studies
- Retail: Leveraging AI for accurate demand forecasting and automated inventory management.
- Food Service: Implementing predictive ordering systems, menu optimization strategies, and smart kiosk technology.
- Fuel Stations: Utilizing personalized promotional strategies and advanced customer analytics.
Practical Module 1: Introduction to Basic AI Tools
- Applying ChatGPT or similar platforms to enhance customer service and FAQ management.
- Exploring the functionality of basic image classifiers and data prediction models.
- Utilizing AI for the analysis of customer feedback and online reviews.
Practical Module 2: AI in Business Contexts
- Workshop simulation: Applying AI solutions in a small retail environment.
- Interactive challenge: Strategies for using AI to minimize waste in food service.
- Group discussion: Envisioning the future of AI-enhanced fuel stations.
Strategy for AI Adoption
- Starting small: Leveraging free tools and accessible services.
- Identifying internal advocates and selecting pilot areas for AI testing.
- Open Q&A and collaborative discussion.
Recap and Future Actions
Requirements
- A foundational understanding of digital systems or operational software tools.
- A keen interest in investigating practical AI applications within a business context.
Target Audience
- Retail management teams and operational staff.
- Professionals involved in food service operations.
- Managers and decision-makers in the fuel station sector.
