Course Code: reskillingshopoperators
Duration: 21 hours
Prerequisites:
  • Basic computer skills
  • Understanding of shop operations and processes

Audience

  • Shop operators
  • Retail managers
Overview:

Reskilling refers to the process of learning new skills or training in a different field or discipline.

This instructor-led, live training (online or onsite) is aimed at beginner-level shop operators who wish to learn the concept of AI and drive innovation in the retail sector.

By the end of this training, participants will be able to:

  • Understand AI and automation including key concepts, technologies, and applications in the retail sector.
  • Identify potential areas within their work environment where AI and automation can be applied to enhance efficiency, customer experience, and business outcomes.
  • Develop basic data literacy skills to understand and use data effectively for decision-making and AI applications.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction

  • Understanding Artificial Intelligence (AI)
  • Impact of AI in the retail industry

Basics of AI Technologies

  • Understanding key AI technologies
  • Overview of common AI tools and software
  • Basics of using AI tools for data analysis

Understanding Automation in Retail

  • Fundamentals of automation
  • The relationship between AI and automation
  • The impact of automation on retail jobs and processes
  • Skills development for working alongside automated systems
  • Identifying opportunities for enhancing efficiency through automation

Identifying AI Opportunities in Retail

  • Identifying areas in retail for AI application
  • Understanding customer behavior through AI
  • AI idea generation and implementation
  • Evaluating the feasibility and impact of ideas

Data Literacy for AI

  • Understanding data sources in retail
  • Principles of ethical and effective data management
  • Basic data analysis techniques
  • Making data-driven decisions using AI insights

Collaboration

  • Understanding the interdisciplinary nature of AI projects
  • Effective communication with technical teams
  • Introduction to project management principles
  • Collaboration tools and techniques in AI projects

Workshop and Project Presentation

  • Proposals on AI solutions for a real-life retail scenario
  • AI project ideas presentation

Summary and Next Steps