Pages 315–320
Abstract
Research summary supplied by the authors
Artificial intelligence is rapidly transforming the fashion industry, offering powerful tools for trend prediction and enabling futuristic leather apparel design. By analysing massive datasets—from social media sentiment and runway imagery to retail analytics and cultural signals—AI can detect subtle shifts in consumer preferences long before they become mainstream. This predictive capability helps designers anticipate colour palettes, silhouettes, textures, and material innovations that will resonate with future markets. In the realm of leather apparel, AI opens up new possibilities for both aesthetics and sustainability. Machine-learning models can simulate how unconventional materials, such as bio-engineered or plant-based leathers, will behave, drape, or age over time. Designers can experiment with complex patterns, adaptive fits, and smart-textile integrations without the limitations of physical prototyping. AI-driven generative design tools further push creativity by producing unique concepts—such as modular jackets, aerodynamically sculpted coats, or hybrid garments that combine traditional leather craftsmanship with futuristic digital forms. Trend-forecasting algorithms also help predict the rising demand for ethical and eco-conscious materials. As consumer interest moves toward sustainability, AI identifies emerging preferences for recycled leather, cruelty-free alternatives, and responsible production methods. This allows brands to design ahead of the curve, aligning innovation with values. Ultimately, AI enhances both the artistry and the strategy of futuristic leather fashion. It empowers designers to imagine bold new silhouettes while ensuring that each piece reflects data-driven insights, sustainability trends, and evolving consumer desires.