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New developments using artificial intelligence and the computer can effect changes in the production of apparel and ultimate consumer satisfaction with apparel products. Much data specification is needed before apparel can be manufactured that quickly and efficiently takes into account the individual body of the consumer. Trial and error fitting methods will no longer be economically feasible with such customized production. Garment fit and ease preferences are explored in this research to determine feasibility of an individually fitted, computer generated pant. A customized pant was made for each of 38 female subjects using a computer-aided-design program that took into account the following factors: body size, configuration, alignment, proportions, and preferred ease amounts of the wearer. A level of prediction for ease was achieved with these pants and 27 of 28 of the final subjects rated their pant as satisfactory or very satisfactory following a seven hour wear test.