Transformative Approach of Artificial Intelligence-Enabled Sustainable Material, Design and Customer requirement for Footwear

Abstract

Artificial Intelligence is increasingly influencing the development of innovative design and manufacturing strategies in the footwear sector. Recent advances in machine learning, generative design, computer vision, predictive analytics, and data-driven modeling have created new possibilities for enhancing footwear development from conceptualization and design to manufacturing, marketing, and consumer-oriented services. This review examines the application of Artificial Intelligence in conventional, customized, and sustainable footwear material and design, with emphasis on its potential to improve design efficiency, product personalization, functional performance, material utilization, and environmental sustainability. The review further explores the role of Artificial Intelligence in optimization as well as selection material for manufacturing, designing and customer requirement for footwear. The advantages and emerging opportunities of Artificial Intelligence-enabled footwear development are discussed alongside key challenges related to data availability, computational requirements, design validation, technological integration, and sustainability assessment. Overall, Artificial Intelligence represents a promising technological pathway for integrating digital innovation with sustainable footwear development and may contribute to the transition towards more personalized, resource-efficient, and environmentally responsible footwear production systems.