GPMS TRANSPORTAL APPLIED AI COURSES

• This course explores how AI is transforming the fashion industry, from trend forecasting and automated design to inventory management and personalization. Students will learn how to apply AI-driven insights to enhance creativity, optimize supply chains, and create sustainable fashion solutions
• Level: Intermediate
• Prerequisites: Basic knowledge of fashion design, textile materials, and data analysis
• Assessments: Micro Assessment weekly, Full Assessment in the final week.

---

Week 1 - AI in Fashion Trend Forecasting

Learning Outcome

Understand how AI predicts fashion trends by analyzing historical data, social media, and market trends

1.1 Introduction to AI-driven trend forecasting.
1.2 Using machine learning to analyze consumer behavior.
1.3 Case studies of AI-powered trend prediction in the fashion industry

Practical Component
Use AI tools to analyze fashion trends and predict upcoming styles.

---

Week 2 - AI-Generated Fashion Design

Learning Outcome

Explore how AI can assist designers in creating innovative fashion pieces.

2.1 Generative AI for apparel design.
2.2 AI-based customization and personalization in fashion.
2.3 Integrating AI tools with traditional fashion design workflows

Practical Component
Generate AI-assisted fashion designs using image-based AI tools.

---

Week 3 - AI in Sustainable Fashion and Material Innovation

Learning Outcome

Learn how AI contributes to sustainable fashion by optimizing materials and reducing waste.

3.1 AI for sustainable fabric selection and design.
3.2 Predictive analytics for reducing textile waste.
3.3 AI-driven lifecycle analysis for sustainable fashion.

Practical Component
Develop an AI-powered solution for sustainable fashion material selection

---

Week 4 - AI-Powered Inventory and Supply Chain Optimization

Learning Outcome

: Understand how AI optimizes fashion supply chains, reducing costs and improving efficiency

4.1 AI-driven demand forecasting for apparel.
4.2 Intelligent inventory management with AI.
4.3 AI-powered supply chain transparency and ethical sourcing

Practical Component
Implement an AI model to optimize a retail supply chain

---

Week 5 - AI in Fashion Retail and Personalized Shopping

Learning Outcome

Learn how AI enhances retail experiences with personalization and automation

5.1 AI-powered virtual try-ons and recommendation systems.
5.2 Chatbots and AI-driven customer service in fashion retail.
5.3 AI-driven pricing strategies in fashion e-commerce.

Practical Component
Build a personalized recommendation system for fashion e-commerce.

---

Week 6 - Capstone Project and Assessment

Learning Outcome

Apply all concepts learned to create an AI-driven fashion solution

6.1 Develop a complete AI-powered fashion project.
6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation

Practical Component
Students will present their AI-powered fashion solutions, integrating AI tools for trend forecasting, design, or supply chain optimization

---