The Bullwhip Effect is a phenomenon observed in supply chain management where small fluctuations in customer demand at the retail level lead to progressively larger variations in orders and inventory as one moves up the supply chain from retailers to wholesalers, distributors, and manufacturers. This amplification of demand variability often results in excessive inventory, stockouts, higher operational costs, and inefficient utilization of resources. The underlying causes of the Bullwhip Effect include demand signal processing, order batching, price fluctuations, and rationing or shortage gaming. Each of these factors contributes to distorted demand information being transmitted upstream, leading suppliers to overreact to perceived changes in demand. Demand signal processing refers to the tendency of supply chain participants to adjust their orders based on perceived changes in customer demand rather than actual sales. For example, if a retailer observes a slight increase in sales, they might order a disproportionately larger quantity from the wholesaler to prevent potential stockouts. This behavior, when repeated along the chain, magnifies the initial fluctuation, creating variability much greater than the original change in consumer demand. Order batching is another significant contributor. Companies often consolidate orders to take advantage of economies of scale or to minimize shipping costs. While this practice may reduce operational costs for individual entities, it introduces irregular ordering patterns that exacerbate demand variability upstream. Similarly, promotional activities and pricing strategies can lead to forward buying or hoarding behavior, where retailers purchase more than required to capitalize on discounts, further distorting true demand signals. Shortage gaming and rationing intensify the problem during periods of limited supply. When manufacturers or distributors impose allocation