Reskilling: AI & Automation Fundamentals

• Basic computer skills
• Understanding of shop operations and processes

Audience

• Shop operators
• Retail managers

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.

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