Analysis on Demand Forecasting of Various Products of Amazon and Flipkart (KEY IJP************767)

• Rishav Raj

Abstract

Abstract:This analysis aims to examine the demand forecasting practices employed by Amazon and Flipkart and evaluate their effectiveness in predicting consumer demand for diverse product categories. Utilizing historical sales data, demand forecasting models, and advanced analytics techniques, the study investigates the accuracy, reliability, and limitations of demand forecasts generated by both e-commerce giants. Key factors influencing demand variability, such as seasonal trends, promotional activities, and external factors, are identified and analyzed. Practical implications for inventory management, marketing strategies, and supply chain optimization are discussed based on the findings. The abstract underscores the importance of accurate demand forecasting in optimizing operational efficiency, enhancing customer satisfaction, and maintaining competitive advantage in the dynamic e-commerce landscape.