US 12,229,810 B2
Machine intelligence platform
Hany A. Fam, Poole (GB); and Fabienne Hubschmid, Zufikon (CH)
Assigned to Markaaz, Inc., Austin, TX (US)
Filed by Markaaz, Inc., Austin, TX (US)
Filed on Dec. 7, 2021, as Appl. No. 17/544,775.
Claims priority of provisional application 63/122,170, filed on Dec. 7, 2020.
Prior Publication US 2022/0180409 A1, Jun. 9, 2022
Int. Cl. G06Q 30/0282 (2023.01); G06F 16/9032 (2019.01); G06N 3/02 (2006.01)
CPC G06Q 30/0282 (2013.01) [G06F 16/90332 (2019.01); G06N 3/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A machine intelligence platform system for managing a network of suppliers, comprising:
a server, coupled to a processor, and configured to execute instructions that:
perform, at an intent layer, context awareness wherein the intent layer performs the context awareness using natural language processing to:
(i) receive user input comprising (a) one or more user queries and (b) one or more navigation patterns and/or selection behaviors,
(2) translate the input into a machine-readable format, and
(3) derive the user's intent from explicit signals based on the user queries and implicit signals based on the navigation patterns;
apply, at an intelligence layer, one or more algorithms to the perceived intent based on one or more classes of data, the classes of data selected from: (i) static data and (ii) dynamic data, wherein the one or more algorithms comprise generating queries based on user data and supplier data, responding to user queries using a neural network-based model for natural language processing, and performing data segmentation and supplier scoring, the algorithms utilizing application programming interfaces (APIs) for data interchange; and
store and retrieve, at a data layer, the one or more classes of data, wherein the static data comprises organization and demographic information and wherein the dynamic data comprises information about user interactions, with enhanced security and traceability mechanisms suitable for handling large volumes of data efficiently.