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@article{164721,
        author = {Pokkuluri Naga Kalyani and Nagaveni K},
        title = {Forecasting Fashion Futures: Analyzing 2024 Women's Apparel Trends Through Data, Visual Mood Boards, and Market Insights},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2166-2172},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164721},
        abstract = {This paper explores the process of forecasting upcoming fashion trends for 2024 in women’s apparel, with a focus on providing valuable insights for potential clients and fashion brands. Through a combination of data collection, creation of visual mood boards, and thorough market analysis, this research aims to offer a comprehensive understanding of the anticipated fashion landscape. Drawing upon observed research, consumer surveys, social media trends, and industry publications, this study identifies emerging patterns, preferences, and thematic shifts within the fashion industry. Visual mood boards serve as creative representations of the forecasted trends, encapsulating the aesthetic, color palette, and key design elements expected to shape women's apparel in the coming year. By integrating market analysis, this research contextualizes the forecasted trends within broader socio-economic, cultural, and environmental factors influencing consumer behavior and industry dynamics. Ultimately, this paper aims to empower stakeholders within the fashion industry to make informed decisions regarding product development, marketing strategies, and brand positioning in anticipation of the evolving fashion landscape in 2024.},
        keywords = {Fashion Forecasting, Market Analysis, Visual Mood Boards, Women’s Apparel.},
        month = {},
        }