Year: 2025
Type: article
Abstract: Effective inventory management is critical for the dynamic fashion retail industry, particularly in men’s T- shirts. This paper presents an AI-driven solution to address overstocking and understocking, utilizing machine learning techniques to analyze product images and sales data. Key innovations includeResNet-50-based image embeddings for visual analysis, cosine similarity, and FAISS for product matching, combined with predictive modelling for demand forecasting. This approach reduces operational inefficiencies and aligns inventory levels with real-time trends, improving business profitability and sustainability.
Institution: Marathwada Mitra Mandal's College of Engineering
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4408564151