Abstract: An e-commerce server system including a demand forecasting tool configured to compute a base demand forecast based on actual shopping cart conversions determined from the historical cart data; compute an optimized-stock demand forecast by examining the historical cart data and determining a set of shopping carts in which the target product was not purchased and was out of stock, or was purchased but out of stock at the highest conversion rate product location, and for each shopping cart identify a highest potential conversion rate among the seller's active product locations, and augment the base demand forecast by the highest potential conversion rate for the shopping carts; and compute an opportunity demand forecast by, for each shopping cart, identifying a highest potential conversion rate among the seller's active and inactive product locations, and augmenting the base demand forecast by the highest potential conversion rate for each of the shopping carts.