The present disclosure relates to a replenishment method, apparatus and electronic device, and relates to the technical field of
inventory management. The replenishment method includes: obtaining historical sales and
inventory data sequences of multiple sales points with different out-of-stock types within a first preset time period; inputting the historical sales and
inventory data sequences of each sales point into replenishment prediction models corresponding to different out-of-stock types to obtain evaluation values of multiple sales points, where the multiple out-of-stock types at least include an out-of-
stock type and an impending out-of-
stock type, and the replenishment prediction models corresponding to the out-of-
stock type and the impending out-of-stock type are both
binary classification models; determining a replenishment priority sequence of multiple sales points according to the evaluation values; and replenishing the multiple sales points according to the replenishment priority sequence. Instead of directly predicting the replenishment quantity of each sales point, the present disclosure determines the sales points that need to be replenished first according to the determined replenishment priority sequence, is not prone to
overfitting, can simply and effectively estimate the sales points that are more urgently in need of replenishment, and replenish these sales points.