Predictive AI in retail market refers to the application of advanced analytical technologies, including machine learning, statistical algorithms, and data mining, to analyse historical and real time data. The primary objective is to forecast future events, consumer behaviours, and market trends with a high degree of accuracy. This technology enables retail organizations to transition from a reactive to a proactive operational stance by anticipating outcomes related to sales, inventory requirements, and customer preferences. By processing vast datasets that encompass transaction histories, customer interactions, and external market factors, predictive AI provides actionable insights. These insights empower retailers to make informed, data driven decisions across various functions such as merchandising, supply chain management, marketing, and customer service, ultimately aiming to enhance operational efficiency, minimize risks like overstocking or stockouts, and personalize the customer journey to foster loyalty and drive revenue growth.