OPTIMIZING B2B SALES PERFORMANCE USING PREDICTIVE ANALYTICS IN THE TEXTILE INDUSTRY

This study explores the role of predictive analytics in optimizing B2B sales performance in the textile industry, focusing on Bavana Textiles, a leading manufacturer in Coimbatore, India. By leveraging historical sales data and advanced forecasting techniques, this research enhances sales predictions, improves inventory management, and maximizes profitability. Using polynomial regression models with seasonal adjustments, the study identifies clear demand patterns and offers actionable insights for strategic decision-making. The findings highlight the importance of data-driven strategies, including targeted marketing, just-in-time inventory management, and customer retention programs, to address market fluctuations and drive sustainable growth.