The invention relates to the technical field of snack scheduling, in particular to an intelligent scheduling and distribution optimization method and
system for a snack supply chain. The method comprises the following steps: collecting historical consumption logs of a plurality of snack feeding bins in a city, and carrying out
time sequence snack consumption calculation and user purchase intention driven speculation to obtain a purchase
outbreak point precursor feature; real-time user
behavior monitoring is carried out based on a snack feeding bin, purchase
outbreak time point prediction and maximum
outbreak demand calculation are carried out based on purchase outbreak point precursor features, and therefore the maximum outbreak demand of different nodes is generated; carrying out supply and demand matching evaluation based on the maximum explosion demand quantity, carrying out multipoint shortage distribution fitting, and constructing a shortage node
spatial distribution diagram; and based on the shortage node space
distribution diagram, intelligent replenishment sequence
decision making is carried out, so that an optimal replenishment planning engine is generated. Through intelligent collaborative scheduling, snack demands are accurately matched, and efficient and stable proceeding of snack scheduling work is promoted.