Abstract
The integration of AI in fashion marketing holds promise for operational enhancement and sustainable practices. Myntra showcases AI’s role, particularly in its recommendation system, but ethical guidelines are crucial. This paper outlines Myntra’s approach, emphasizing data privacy, algorithmic transparency, sustainable practices, and ethical consumer engagement. Data privacy is foundational; Myntra collects customer data with explicit consent but needs stronger data protection measures and clear communication. Algorithmic transparency is essential; Myntra should ensure AI models are transparent and audited to mitigate biases. Myntra’s AI-driven recommendation system promotes sustainability by suggesting eco-friendly products, enhancing satisfaction, and reducing inventory through accurate forecasting. Ethical consumer engagement via transparent AI tools is vital. Myntra should prioritize energy-efficient AI models and green technologies to minimize the carbon footprint and optimize supply chains. In conclusion, Myntra’s AI integration enhances efficiency and upholds sustainability. By adhering to ethical guidelines on privacy, transparency, and engagement, Myntra pioneers responsible AI in fashion, aiming to reduce environmental impact while satisfying ethical standards and consumer needs.
Presenters
Shweta KumariStudent, Bachelors of Design, National Institute of Fashion Technology, Patna, India Monika Mehta
Assistant Professor, Fashion Communication, National Institute of Fashion Technology, Bihar, India
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
Design Management and Professional Practice
KEYWORDS
Ethical AI, Fashion Marketing, Data Privacy, Algorithmic Transparency, Sustainable Practices
