ENHANCING FESTIVE RETAIL STRATEGIES: A DATA-ENABLED GROCERY RECOMMENDATION SYSTEM

Abstract

 The retail landscape during festive seasons in India presents unique challenges and opportunities due to diverse cultural practices and heightened consumer activity. The significance of retail strategies during festive seasons in India, characterized by unique cultural practices and traditions, calls for specialized systems to enhance customer experience and optimize retail operations. This study explores the development and implementation of a data-enabled grocery recommendation system tailored to Indian festive contexts. Our research addresses this gap by analysing transactional data from various Indian festivals to identify common purchasing patterns and associations between items. This analysis helps to uncover frequent item sets and generate rules that inform more effective stocking and promotional strategies. The necessity of this research is underscored by the recurring issues of stockouts, and mismanaged inventory faced by retailers during high-demand periods. Our contributions include the creation of a dynamic recommendation model that enhances inventory management, optimizes product placement, and provides personalized shopping experiences. The uniqueness of this study lies in its integration of cultural and seasonal data, offering a comprehensive solution that aligns retail strategies with festive consumer behaviour, thereby significantly improving both retailer efficiency and customer satisfaction.