Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This present paper examines Walmart’s integration of generative AI in transforming its fashion retail operations. Central to this innovation is the “Trend-to-Product” tool, which condenses the traditional six-month design cycle into six weeks. By analyzing global social media trends, influencer content, and previous sales data, the tool generates mood boards, color palettes, and complete fashion tech packs within minutes. This strategic use of AI enhances relevance, customer connection, and operational efficiency while maintaining ethical sourcing standards. The narrative traces the shift from conventional processes to AI-driven design, revealing its potential to reshape product development beyond fashion into multiple retail categories.
"From 6 Months To 6 Weeks – Walmart’s AI-Powered Fashion Revolution", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 8, page no.a473-a474, August-2025, Available :http://www.ijrti.org/papers/IJRTI2508057.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator