The invention discloses a retail cabinet replenishment
analysis method and
system based on a multi-dimensional
decision matrix, and the method comprises the steps: collecting the place characteristics of a retail cabinet, the user characteristics of a service object, and local urban hot commodity data, and constructing a multi-dimensional
decision matrix; completing commodity compliance screening and recommendation based on the multi-dimensional
decision matrix, and determining a candidate commodity set of a retail cabinet adapted to the current scene and the user demand; the shelf display positions of the candidate commodities are adjusted through a dynamic
distribution rule in combination with the sales performance and attribute characteristics of the candidate commodities; according to the historical sales frequency of the commodities, commodity categories are divided by adopting a dynamic classification
algorithm, and differential replenishment cycles are formulated for different categories of commodities; and predicting a commodity replenishment demand by using the sales prediction model, and planning an optimal delivery path in combination with a path optimization
algorithm. The problems that due to
static display of a traditional retail cabinet, the space
utilization rate is low, stock-out or overstock is caused by rigid replenishment cycle, logistics distribution resources are wasted, and compliance management response is lagged are solved.