- Basic computer skills
- Understanding of shop operations and processes
Audience
- Shop operators
- Retail managers
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 (high level), 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.
Day 1: Foundations of creativity, innovation, and design thinking in retail.
Objective: Introduce the concepts of creativity and innovation in the context of retail and explore the fundamentals of design thinking as a tool for problem- solving and innovation.
Outline:
- Creativity in retail: Understanding the role of creative thinking in retail innovation.
- Innovation processes: How innovation can transform retail operations. Innovation is a fundamental piece of the value chain.
- Basics of design thinking: Introduction to the design thinking process focusing on empathy, visualisation, definition, ideation, prototyping, testing, integration, and implementation.
- Interactive Session: Group exercises on identifying retail challenges and applying design thinking principles.
- Projects and discussion: Group projects exploring successful innovative retail models and final discussion.
Day 2: Introduction to AI and automation in retail.
Objective: Provide an understanding of AI and automation, their key concepts, and how they can be applied innovatively in the retail sector.
Outline:
- AI is not a bogeyman: AI will not replace prepared workers.
- Automation and AI essentials: Definitions, history, and basic principles of automation and AI.
- AI solutions: Introduction and presentation of different AI solutions for different needs and objectives.
- Data literacy for retail: Understanding and leveraging data in retail.
- Hands-on activity: Basic exercises in data analysis and interpretation for retail decision-making.
- Group project: Identifying AI and automation opportunities in participants' work environments. What tools to use?
Day 3: Implementing AI solutions in retail.
Objective: Equip participants with the skills to identify, plan and understand how they can help implement AI and automation solutions in their retail operations.
Outline:
- AI in retail: Case studies of AI applications in enhancing customer experience and operational efficiency.
- Developing AI projects: Steps to initiate an AI project in retail – how to increase productivity, starting with simple little tasks.
- Tools and Technologies: Overview of accessible AI tools for retail applications.
- Practical implementation: Group project conceiving the development of a mini-AI solution for a retail problem.
- Presentations and feedback: Sharing group projects and receiving constructive feedback.
- Conclusion and future learning: Summarizing key learnings and discussing pathways for further AI and retail innovation education.
Additionalcomponents:
Pre-course material: Introductory content on AI, innovation, and design thinking (PDF format, as pre-reading).
Pre-course questionnaire: We’ll have a Google Forms questionnaire for each class to help adapt contents to the specific group of participants.
Post-course engagement: Access to a community forum for ongoing discussion and support (to be created and developed after the conclusion of the first training delivered).
Assessment: Based on active participation, project development, and final presentation.