AI in Fashion & Lifestyle
Shop. Recommend. Sell.
Course Objective
The course is designed to:
1. Demystify AI and digital technologies transforming fashion and lifestyle industries.
2. Train learners to use AI-powered tools for styling, wardrobe planning, and trend forecasting.
3. Enable learners to digitally market fashion brands with the help of AI-based content creation and automation tools.
4. Promote sustainability in fashion through smart AI-based solutions and eco-friendly strategies.
5. Prepare learners to transform fashion experiences through virtual try-on, digital wardrobes, and lifestyle AI assistants.
Module 1:
Introduction to Fashion Tech & Lifestyle AI
Key Focus:
- The evolution of digital fashion and AI-powered trends.
- Global fashion-tech startups reshaping industries (Stitch Fix, Fashwell).
- Lifestyle personalization using AI assistants (Google Home, Alexa).
- The connection between fashion trends and consumer data analytics.
Hands-On Activity:
Create a “fashion persona” using AI-driven recommendation tools.
Module 2: Smart AI in Styling & Personal Fashion Advisors
Key Focus:
- AI-based styling and outfit planning platforms.
- Virtual try-on tools like Zeekit and Vue.ai.
- How AI suggests looks based on body type, color tones, and current trends.
Hands-On Activity: - Style 5 digital looks for a photoshoot using an AI styling tool.
Module 3: AI Trend Forecasting & Fashion Analytics
Key Focus:
- Predicting seasonal and future fashion trends with AI.
- Data-driven fashion analytics for retailers and personal brands.
- Tools: Heuritech, Trendalytics, WGSN (AI-based forecasting).
Hands-On Activity: - Analyze 1 year of Instagram fashion hashtags using AI analytics.
Module 4: Virtual Wardrobe Creation & Outfit Planning
Key Focus:
- Create a digital wardrobe with AI mix-and-match suggestions.
- Smart closet apps for efficient outfit rotations.
- AI for event-based outfit recommendations.
Tools: Smart Closet, Pureple, Cladwell.
Hands-On Activity:
Build a 7-day AI-curated outfit plan for a specific lifestyle (work, travel, casual).
Module 5: E-commerce Fashion Automation & Customer Experience
Key Focus:
- How Amazon, Myntra, and Zara use AI for product recommendations.
- AI chatbots and virtual fashion assistants for online stores.
- Augmented reality (AR) dressing rooms.
Hands-On Activity: - Create a mock AI chatbot for an e-commerce store using no-code tools.
Module 6: Sustainable Fashion & Lifestyle Choices
Key Focus:
- Eco-conscious fashion brands using AI for recycling and waste reduction.
- AI in supply chain optimization for reducing carbon footprints.
- Tools: Good On You, Renoon (sustainability rating tools).
Hands-On Activity: - Design a sustainable fashion collection concept using AI-generated ideas.
Module 7: AI-Powered Lifestyle & Fashion Marketing
Key Focus:
- Automating content creation (Jasper AI, ChatGPT).
- AI-driven ad designs and campaigns (Canva AI, Lumen5).
- Influencer collaborations powered by AI data insights.
Hands-On Activity: - Create a 30-day AI-generated marketing campaign for a fashion brand.
Module 8: Capstone Project – Style. Suggest. Transform.
Final Project Options:
- Build a virtual styling service prototype (AI-driven).
- Create an AI-powered brand portfolio with marketing campaigns.
- Design a personal digital wardrobe solution for an influencer or client.
Deliverables: - Portfolio: Trend report, styling suggestions, AI-driven marketing plan.
- Presentation: Showcase the brand transformation plan.
Learning Activities
- AI Styling Tools: Zeekit, Vue.ai, Fashwell.
- Trend & Analytics Platforms: Heuritech, Trendalytics, WGSN.
- Digital Wardrobe Apps: Pureple, Smart Closet, Cladwell.
- AR & Try-On Tools: Snap AR, Style.me.
- Marketing Tools: Canva AI, Jasper AI, Hootsuite, Lumen5.
E-commerce Tools: Shopify AI, Amazon Personalize, Chatbot builders (Tidio, Botpress).
Course Outcome
By the end of this course, learners will:
By the end of this course, learners will:
- Master AI styling tools and digital wardrobe planning.
- Forecast fashion trends using AI-driven analytics.
- Develop AI-enhanced e-commerce solutions for personalized shopping.
- Build AR-based virtual try-on experiences for fashion brands.
- Launch sustainable fashion campaigns using AI insights.
- Automate social media and influencer strategies.
- Create marketing portfolios and brand storytelling with AI tools.
Present a capstone project showcasing practical digital fashion solutions.
Duration:
12 Weeks (3 hours per week):
- Weeks 1–8: Core learning modules with assignments.
- Weeks 9–10: AI-driven real-world projects and case studies.
- Week 11: Capstone project on brand building or personal styling solutions.
- Week 12: Portfolio creation, reviews, and presentation.