Artificial Intelligence (AI) and analytics has been used to help a number of stakeholders in the fashion industry. For example, designers have used AI to create clothing designs, types of fabrics and the patterns on those fabrics. AI is being used in the fashion supply chain and analytics for predicting demand, customization and improved customer service. AI can also work from photos and make sure an item fits the customer even when buying items online.

Your project team (business lead, fashion designer with marketing analytics experience, risk analytics officer and the AI specialist have been asked to work together on a project which will use analytics techniques to create new clothing designs to be sold at BIG W. There are some concerns though. Some fashion designers think AI will create the same sort of items rather than something as original as the human mind could create. Others think that the project is risky because BIG W shoppers want ordinary (every day) clothing rather than anything else.

Given these concerns, your team may need to perform preliminary analytics in order to work out what customers expect from BIG W. The meeting simulation is essentially about convincing one of the executives from BIG W that this project is worth funding and running.

Your project management team roles are:

A. Business lead (understands management styles

B. Fashion designer with marketing analytics experience (understands the fashion Industry)

C. Risk Analytics officer (understands predictive project analytics)

D. Artificial Intelligence specialist (understands the benefits of AI in fashion and design)

You are going to participate in a simulation of a "Stakeholder Management Meeting" where a team undertaking the above project need to:

- justify the analytics project in a general sense and explain and general style in which the project will be managed (Waterfall, Scrum, Kanban, Github or other)

- explain aspects of the fashion industry and what data you will obtain from customers of BIG W

- describe how you will use predictive project analytics to examine the risk of the project

- explain the benefit of AI in fashion

You will present it to the company executive and address his/her concern.