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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

Number of participants


Price per participant (excl. VAT)

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