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In order to make more shoppers actually buy something on an online shop of a traditional retailer and ensure that the inventory of commodities of the online shop can satisfy the orders, thereby maximize the profits of the online shop, the demand rates of commodities are firstly described. Secondly, the optimal ordering quantity every time and optimal times of order per cycle of each commodity are determined. Thirdly, a nonlinear programming model is provided, and a dynamic programming algorithm is given to solve this model. Finally, an example is proposed to explain the validity of the algorithm and the significance of the nonlinear programming model.