Abstract: A method includes generating a greenhouse gas (GHG) mitigation credit including identifying a set of tasks to be completed by a respective set of first entities that collectively generate a GHG mitigation having a set of GHG mitigation parameters; receiving, from a second entity, a request for a GHG credit acquisition for the GHG mitigation credit; in response to receiving the request, executing the request for the GHG credit acquisition and providing the GHG mitigation credit to the second entity; and providing, to at least one of the set of first entities, instructions to cause the at least one of the set of first entities to execute a respective task of the set of tasks.

Abstract: A method includes: generating a set of tasks; determining, by a machine learning model and based on multiple data types from multiple sources, that an overall risk score exceeds a first failure threshold due to a risk score of a task exceeding a second threshold; selecting a replacement task for the task, the selecting including: receiving, replacement candidates, each replacement candidate including a candidate offset potential and one or more candidate failure mechanisms; assigning, by the machine learning model and to each of the replacement candidates, a replacement score for the replacement candidate based on a failure correlation of the replacement candidate with respect to each other sets of the set of tasks; ranking the replacement candidates based on the replacement scores; and selecting, based on the ranking, the replacement task; and generating, an updated set of tasks including the replacement task.

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.