The invention discloses a finished wine warehouse goods location optimization method, which comprises the following steps of firstly, predicting the warehouse-out frequency of finished wine in an optimization period according to the seasonal characteristics of the finished wine; then, conducting the association rule mining on the historical orders, obtaining the association degree between the finished wine products, and clustering on the basis of the association degree; on the basis, comprehensively considering the goods allocation turnover rate, the goods shelf stability and the product relevance, and constructing a multi-objective goods allocation optimization model; and finally, solving a Pareto solution set, selecting an optimal satisfactory solution, and obtaining a final goods allocation optimization result. According to the method, the mutual restriction among multiple targets is fully considered, the defect that seasonal characteristics and goods variety relevance of finished wine are not considered in the prior art is overcome, and the actual measurement shows that compared with the prior art, the method can better adapt to the operation environment of picking goods according to order waves, and the goods optimization result is more reasonable.