公开(公告)号：US20240179539A1

公开(公告)日：2024-05-30

申请号：US18430027

申请日：2024-02-01

Applicant: PLUME DESIGN, INC.

Inventor： Yusuke SAKAMOTO ,  Yoseph MALKIN ,  Sachin VASUDEVA ,  Nipun AGARWAL

IPC: H04W24/02 ,  H04L41/0253 ,  H04L41/12 ,  H04L41/14 ,  H04L41/22 ,  H04L43/045 ,  H04L43/0876 ,  H04L41/147 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/0894 ,  H04W84/12

CPC classification number: H04W24/02 ,  H04L41/0253 ,  H04L41/12 ,  H04L41/14 ,  H04L41/22 ,  H04L43/045 ,  H04L43/0876 ,  H04L41/147 ,  H04L43/0882 ,  H04L43/0888 ,  H04L43/0894 ,  H04W84/12

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for the network condition of each of the plurality of customers of one or more service providers; determining an internet service provider (ISP) outage based on a plurality of factors; and performing one of a plurality of resolution or notification actions.

公开(公告)号：US20230275973A1

公开(公告)日：2023-08-31

申请号：US18313148

申请日：2023-05-05

Applicant: PLUME DESIGN, INC.

Inventor： Yusuke SAKAMOTO ,  Muhammad Ali VALLIANI ,  Nipun AGARWAL ,  Sachin VASUDEVA

IPC: H04L67/50 ,  H04L41/22

CPC classification number: H04L67/535 ,  H04L41/22

Abstract: Systems, methods, and non-transitory computer-readable storage media are provided for predicting the likelihood or probability of a subscriber of a service to cancel or not renew a subscription. A method, according to one implementation, includes a step of receiving data pertaining to aspects of a service that is provided by a service provider to a subscriber in accordance with a subscription. The data may include one or more impact factors each having a positive, neutral, or negative influence on the likelihood of subscriber churn. The method also includes a step of using the one or more impact factors to predict the likelihood that the subscriber will cancel the subscription.