The main propose of this article is to establish optimal ordering Strategy for multiple goods. For some merchandise, its sales conditions can be partitioned into three periods: peak-time period, off-peak-time period and holidays. Because of the demands for different goods are not the same, so we need to collect the transaction data through the POS system, analying the daily sales conditions. In addition, we build up an inventory model and according to the optimization technique and a numerical analysis method, the article can find out the optimal ordering quantity and reorder point under multiple goods and single supplier to minimize the total expected cost. The sensitivity analysis was also taken to realize the influence of parameters. Finally, four conclusions are drawn for practical applications and future studies.