公开(公告)号：US20230144113A1

公开(公告)日：2023-05-11

申请号：US17984185

申请日：2022-11-09

Applicant: X Development LLC

Inventor： Salil Vijaykumar Pradhan ,  Grigory Bronevetsky ,  Ryan Butterfoss ,  Rebecca Radkoff ,  David Andre ,  Randolph Preston McAfee ,  John Michael Stivoric ,  Grace Taixi Brentano ,  Sze Man Lee

IPC: G06Q10/08 ,  G06Q10/06 ,  G06Q30/06

CPC classification number: G06Q10/08345 ,  G06Q10/067 ,  G06Q30/0611

Abstract: Methods and systems including receiving a plurality of shipping bids from a plurality of shipping entities, each entity having goods to ship from locations to destinations, wherein each bid represents an option to ship goods at a shipping price, and wherein each bid comprises a plurality of shipping parameters; receiving a plurality of carrier bids from a plurality of carrier entities, each entity transporting the goods, wherein each bid represents an option to transport the goods at a price, and wherein each bid comprises a plurality of carrier parameters; performing a matching process to generate a plurality of pair-wise partial matches, wherein each match associates a shipping and carrier bid at a modified price, wherein the modified price is based on a deviation between the parameters; providing information representing the matches to the shipping and carrier entities; and generating training data representing which matches were exercised.

公开(公告)号：US11706111B1

公开(公告)日：2023-07-18

申请号：US17732957

申请日：2022-04-29

Applicant: X Development LLC

Inventor： John Michael Stivoric ,  David Andre ,  Ryan Butterfoss ,  Rebecca Radkoff ,  Salil Vijaykumar Pradhan ,  Grace Taixi Brentano ,  Lam Thanh Nguyen

IPC: H04L43/065 ,  H04L41/0604 ,  H04L41/12 ,  H04L43/0817

CPC classification number: H04L43/065 ,  H04L41/0627 ,  H04L41/12 ,  H04L43/0817

Abstract: Implementations are directed to improving network anti-fragility. In some aspects, a method includes receiving parameter data from a network of nodes, the parameter data comprising attributes, policies, and action spaces for each node in the network of nodes; configuring one or more interruptive events on one or more nodes included in the network of nodes; determining a first action of each node in the network of nodes in response to the one or more interruptive events; determining a first performance metric, for each node, that corresponds to the first action, wherein the first performance matric is determined based on at least a first reward value associated with the first action; continuously updating the first action in an iterative process to obtain a final action, wherein a performance metric corresponding to the final action satisfies a performance threshold, and transmitting the final action for each node to the network of nodes.

公开(公告)号：US20240289733A1

公开(公告)日：2024-08-29

申请号：US18589228

申请日：2024-02-27

Applicant: X Development LLC

Inventor： Anikait Singh ,  David Andre ,  Grace Taixi Brentano ,  Karush Suri ,  Lam Thanh Nguyen ,  Salil Vijaykumar Pradhan ,  Gearoid Murphy ,  Klara Kaleb ,  Raja Dilip Panjwani ,  Sze Man Lee ,  Ashish Jagmohan Chona

IPC: G06Q10/0834 ,  G06Q10/067

CPC classification number: G06Q10/08345 ,  G06Q10/067

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.

公开(公告)号：US20250029044A1

公开(公告)日：2025-01-23

申请号：US18776107

申请日：2024-07-17

Applicant: X Development LLC

Inventor： Grigory Bronevetsky ,  Salil Vijaykumar Pradhan ,  John Michael Stivoric ,  Dominic Deshawn Williams ,  Kaitlin Marie Boisseree ,  Dhruv Singal ,  Ashish Jagmohan Chona

IPC: G06Q10/0637

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.

公开(公告)号：US20250029042A1

公开(公告)日：2025-01-23

申请号：US18776120

申请日：2024-07-17

Applicant: X Development LLC

Inventor： Grigory Bronevetsky ,  Salil Vijaykumar Pradhan ,  John Michael Stivoric ,  Dominic Deshawn Williams ,  Kaitlyn Boisseree ,  Dhruv Singal ,  Ashish Jagmohan Chona

IPC: G06Q10/0635 ,  G06Q10/0631

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.

公开(公告)号：US20240330743A1

公开(公告)日：2024-10-03

申请号：US18129416

申请日：2023-03-31

Applicant: X Development LLC

Inventor： David Andre ,  Grace Taixi Brentano ,  Lam Thanh Nguyen ,  Salil Vijaykumar Pradhan ,  Peter Michael Aronow

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating synthetic training data representing network disruptions. One of the methods includes obtaining data representing one or more first travel time distributions between at the at least two entities in the supply chain network. Synthetic network disruption data is generated including sampling from one or more second travel time distributions corresponding respectively to one or more simulated network disruptions. A second dataset having the synthetic network disruption data is generated, and a network policy agent is trained using the second dataset.

公开(公告)号：US20240311749A1

公开(公告)日：2024-09-19

申请号：US18122057

申请日：2023-03-15

Applicant: X Development LLC

Inventor： Grace Taixi Brentano ,  Salil Vijaykumar Pradhan ,  Rebecca Radkoff ,  David Andre ,  Lam Thanh Nguyen ,  Sze Man Lee ,  Gearoid Murphy

IPC: G06Q10/0835 ,  G06N3/0475 ,  G06N3/092 ,  G06N3/094

CPC classification number: G06Q10/08355 ,  G06N3/0475 ,  G06N3/092 ,  G06N3/094

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating alternative networks. One of the methods includes receiving supply chain data representing a first supply chain network having nodes and links, receiving map data, providing the map data and the supply chain data as input to a generative process that is configured to generate one or more second supply chain networks, receiving, as output from the generative process, a second supply chain network, performing a supply chain simulation on the second supply chain network generated by the generative model, and computing a performance metric for the second supply chain network based on performing the simulation.

公开(公告)号：US20230351310A1

公开(公告)日：2023-11-02

申请号：US18193045

申请日：2023-03-30

Applicant: X Development LLC

Inventor： Grigory Bronevetsky ,  Salil Vijaykumar Pradhan ,  John Michael Stivoric ,  Randolph Preston McAfee ,  Sze Man Lee ,  Christine Grace Haaf

IPC: G06Q10/083 ,  G06F30/20

CPC classification number: G06Q10/083 ,  G06F30/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for planning shipping logistics routes. A computer-implemented method includes: receiving a request for a first shipment to occur during a first time duration, the request being provided by a requestor; obtaining shipment data representing scheduled shipments to occur during a second time duration, the second time duration overlapping the first time duration; providing the request for the first shipment and the shipment data as input to a shipping model; obtaining, as output from the shipping model, simulation results including predicted shipments during the second time duration, the predicted shipments including the first shipment and the scheduled shipments, the simulation results including predicted movements of shipping resources executing the predicted shipments during the second time duration; and assigning shipping resources to the predicted shipments based on the simulation results.

公开(公告)号：US20230117297A1

公开(公告)日：2023-04-20

申请号：US18047510

申请日：2022-10-18

Applicant: X Development LLC

Inventor： Ryan Butterfoss ,  David Andre ,  Salil Vijaykumar Pradhan ,  Rebecca Radkoff

IPC: G06F30/27 ,  G06Q10/06 ,  G06Q50/28

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatic generation of a supply chain simulation. The methods, systems, and apparatus include actions of obtaining supply chain data of a supply chain, generating a supply chain network graph that represents relationships between locations indicated by the supply chain data, determining classifications of the locations indicated by the supply chain data, determining agent rule models based on the supply chain data, and generating a supply chain simulation based on the supply chain network graph, the classifications of the locations, and the agent rule models.