US 12,333,495 B2
Asset-centric activity feed integrating user interaction data with asset event data
Alexis Cohen, Atlanta, GA (US); Jacob Mapel, Atlanta, GA (US); Hunter Shinn, Atlanta, GA (US); Zach Ritter, Atlanta, GA (US); David Lee, Atlanta, GA (US); Amanda Marotti, Atlanta, GA (US); and Barbara Hernandez, Atlanta, GA (US)
Assigned to Cox Communications, Inc., Atlanta, GA (US)
Filed by Cox Communications, Inc., Atlanta, GA (US)
Filed on Jun. 29, 2022, as Appl. No. 17/809,862.
Prior Publication US 2024/0005273 A1, Jan. 4, 2024
Int. Cl. G06Q 10/0875 (2023.01); G06N 20/00 (2019.01); H04W 4/38 (2018.01)
CPC G06Q 10/0875 (2013.01) [G06N 20/00 (2019.01); H04W 4/38 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A supply chain management method, comprising:
obtaining, from one or more Internet of Things (IoT) devices, historical sensor data collected associated with a plurality of assets;
obtaining historical user interaction data associated with the plurality of assets for one or more users;
training a machine-learning (ML) model of an intelligence engine based on the historical sensor data and the historical user interaction data to determine ranked asset-centric activity feeds;
obtaining, from a user device associated with a first user of the one or more users, a request for an asset-centric activity feed for an asset;
predicting, using the ML model, a set of target users that will perform an interaction with an event associated with the asset, the set of target users including the first user and a second user of the one or more users;
selectively and automatically adding, based on the prediction and by a communication system, the second user to a smart communications group with the first user instead of a third user;
determining, by the communication system, a first mode of communication to automatically send communications from the smart communications group to the first user and a second mode of communication to automatically send communications from the smart communication group to the second user, wherein the first mode of communication is different than the second mode of communication;
obtaining, from a user interaction data source, a set of user interactions, including a first user interaction for the asset from the second user added to the smart communications group;
obtaining, from an event data source, a set of events collected from one or more tracking devices associated with the asset;
determining, using the ML model of the intelligence engine, relevance scores for the set of user interactions and the set of events;
determining, based on the relevance scores, a ranked asset-centric activity feed comprising the first user interaction of the set of user interactions and at least one event of the set of events;
providing, in a response to the request, the ranked asset-centric activity feed to the user device; and
causing at least a portion of the ranked asset-centric activity feed to be presented in a graphical user interface of the user device.