abstract: This study is motivated to propose an approach that integrated the operations in the three stages of supply chain for the management of seasonal products. The goal of this study is to minimize the total costs incurred for the seasonal product in the whole selling period. In the first stage, we employ a newsvendor model to determine the optimal one-time-only order quantities of the seasonal products. Then, we utilize a clustering analysis in the second stage to categorize seasonal products into groups, and established an optimal replenishment policy for the products in the same group. Finally, the third stage starts when the warehouse runs out of its inventory. We formulate a mathematical model to determine the optimal transshipment quantities among all of the retailers to minimize the expected total costs incurred for the rest of the selling period. We demonstrate that our integrated approach significantly outperforms the company’s current approaches based on the real-world data of 17 seasonal products from a household product company in Taiwan. Therefore, our integrated approach may serve as an effective decision support tool for the distribution and lateral transshipment of seasonal products in household product industry.