Patent ID: 11915300
Assignee: ARKESTRO INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer-readable medium comprising instructions that, when executed by one or more computer servers of an omnichannel procurement orchestration system, cause the one or more computer servers to:
receive, from a plurality of data stores via one or more procurement channels, data for a set of transactions associated with a proposed procurement transaction between at least one of a plurality of purchasers and at least one of a plurality of suppliers,
wherein the data for the set of transactions is at least partially associated with the human entity,
wherein the one or more procurement channels comprise one or more software-based applications or computing devices separate from the omnichannel procurement orchestration system,
wherein each of the one or more procurement channels is associated with one or more procurement activities,
wherein the data comprises:
a set of attributes of a plurality of line-items associated with the set of transactions, wherein the plurality of line-items comprise one or more line-items other than the particular line-item, and
a set of attributes of the at least one of a plurality of suppliers;

determine, an identity or a behavior pattern of the human entity by applying one or more machine learning models to the data received from the plurality of data stores via one or more procurement channels,
wherein the human entity is associated with a procurement analysis for the proposed procurement transaction, and
wherein the identity or the behavioral pattern of the human entity comprises one or more estimated likelihoods of the human entity to engage in one or more negotiation actions regarding the potential procurement transaction;

generate a recommendation comprising a set of instructions for acting upon the proposed procurement transaction on behalf of a purchaser of the at least one of a plurality of purchasers that the human entity is associated with, wherein the recommendation is based on the identified identity or behavioral pattern of the human entity; and
provide the recommendation to the human entity associated with the proposed procurement transaction.