US 12,340,327 B2
Systems for supply chain event management
Hanns-Christian Leemon Hanebeck, Dallas, TX (US)
Assigned to TRUCKL LLC, Dallas, TX (US)
Appl. No. 17/262,305
Filed by TRUCKL LLC, Dallas, TX (US)
PCT Filed Jul. 23, 2019, PCT No. PCT/US2019/042924
§ 371(c)(1), (2) Date Jan. 22, 2021,
PCT Pub. No. WO2020/023441, PCT Pub. Date Jan. 30, 2020.
Claims priority of provisional application 62/730,531, filed on Sep. 12, 2018.
Claims priority of provisional application 62/714,700, filed on Aug. 5, 2018.
Claims priority of provisional application 62/702,890, filed on Jul. 24, 2018.
Prior Publication US 2021/0272037 A1, Sep. 2, 2021
Int. Cl. G06Q 10/08 (2024.01); G06Q 10/0631 (2023.01); G06Q 10/083 (2024.01); G06Q 10/0833 (2023.01); G06Q 10/0835 (2023.01); G06Q 50/04 (2012.01)
CPC G06Q 10/06315 (2013.01) [G06Q 10/0833 (2013.01); G06Q 10/0835 (2013.01); G06Q 2220/00 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A system for supply chain event management, comprising:
a computing system operably communicating with a distributed ledger computer, the distributed ledger computer being a node of a distributed ledger;
wherein the computing system captures an occurrence of a first event defined by first event data during an execution of a supply chain process from a network connected device, and obtains a first attribute and a second attribute of the supply chain process during the execution, where in the first attribute and the second attribute are specific to the occurrence of the first event and the network connected device, and wherein the first event data comprises raw event data including sensor data of an autonomous vehicle while the autonomous vehicle operates, and wherein the raw event data is converted into processed event data by enhancing the raw event data with one or more attributes of the supply chain process, wherein the processed event data is converted into meta event data by enhancing the processed event data with one or more attributes of the supply chain process, and
wherein each of the raw event data, the processed event data, and the meta event data is transformed as input data formatted for input into a decision-making program and that defines one or more patterns of the supply chain process;
wherein the decision-making program, executing on the computing system and upon receiving the formatted input data, makes a first determination to either maintain a first course of action in the supply chain process or to change the first course of action in the supply chain process utilizing the one or more patterns defined by the processed event data;
wherein the computing system utilizes a hashing function to generate a first by hashing an original event data value of least one of the raw event data, the processed event data, or the meta event data, in a blockchain format, to create a hash event data value;
wherein the computing system uploads the first event data and the hash event data value to the distributed ledger, wherein the first event data and the hash event data is stored on the distributed ledger in the blockchain format as a first record, and wherein the first event data is classified on the distributed ledger as different types of event data; and
wherein the distributed ledger computer adds the first record to a first block using the first hash and broadcasts the first block to a plurality of nodes of the distributed ledger to validate and store the first block on the distributed ledger, and wherein the first hash and the first block are provided by the computing system to a set of additional parties that may access the first record.