A procedure to set prices and select inventory in thinly traded markets using data from eBay

Prices respond to equate supply and demand. However, price-setting in low-volume or "thin" markets is a challenge as is determining which items to carry. We present an algorithm that takes into account a store's fixed costs, the cost of goods sold, prices, and listing duration to determine the portfolio of items to maximize profits. Prices can then be assigned as a mark-up over cost. The usefulness of this approach is demonstrated by applying it to a store on eBay in which the seller needs to meet a profit threshold. The findings identify how sellers of unusual items can effectively determine which items to list and how to set price to reach profit goals.