Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating actions for a supply chain network. One of the methods includes receiving a request to generate an action in a supply chain network for a particular product based on current state information; providing a request to an action model to generate a respective probability distribution for one or more actions for one or more products; receiving, from the action model, the respective probability distributions for the one or more products; determining, for each product, a binned action from the respective probability distribution; providing a request to a sequence model to generate a respective correction for the one or more binned actions; and receiving, from the sequence model, the respective correction for the respective binned action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a large language model as a common interface between entities in a supply chain network. One of the methods includes receiving, by a supply chain analysis system, a plurality of messages from entities in a supply chain network having a plurality of entities. Each message is provided to a large language model that is configured to generate modified messages that are in a standardized format, wherein the standardized format includes one or more data elements representing a proposed exchange in the supply chain network. The standardized messages are provided to one or more of the entities in the supply chain network to effectuate a communications interface through the large language model for entities in the supply chain network.