Intelligent monitoring systems and methods for wi-fi metric-based resolutions for cloud-based wi-fi networks
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 a condition of each of the plurality of Wi-Fi networks; determining one or more resolutions for the condition of a Wi-Fi network of the plurality of Wi-Fi networks; and initiating a customer outreach workflow to provide the one or more resolutions to the customer associated with the Wi-Fi network.
1. A non-transitory computer-readable storage medium having computer readable code stored thereon for programming a computer to perform steps of:
obtaining data, over the Internet, associated with a plurality of Wi-Fi networks, the obtained data for each Wi-Fi network corresponding to a condition of each Wi-Fi network, the condition indicating current instability in a respective Wi-Fi network within the 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;
aggregating and filtering the data;
analyzing the aggregated and filtered data, the analysis comprising correlating a state, a customer type and a severity of each condition of each Wi-Fi network via a machine learning model, the customer type for each respective condition of each Wi-Fi network being associated with a type of frequency for which the respective condition has been identified;
determining, based on the analysis via the machine learning model-based correlation of the state, the customer type and the severity of each condition of each Wi-Fi network, an alarm for a Wi-Fi network within the plurality of Wi-Fi networks; and
determining, based on the determination of the alarm, one or more resolutions for the condition of the Wi-Fi network within the plurality of Wi-Fi networks, the one or more resolutions include causing repositioning nodes of the Wi-Fi network, wherein a recommendation for repositioning the nodes of the Wi-Fi network relates to their physical location and topology, the recommendation is based on at least one of a signal strength between the nodes, a number of the nodes, a number of devices connecting to the nodes, network speed tests, alarms triggered by the Wi-Fi network, and a Quality of Experience of users of the Wi-Fi network.
2. The non-transitory computer-readable storage medium of claim 1 , wherein the steps further include
causing initiation of the one or more resolutions.
3. The non-transitory computer-readable storage medium of claim 1 , wherein the steps further include
providing at least one of a mobile application push notification, a notification within the mobile application, a text message, an email, and a call-out from a representative of an internet service provider.
4. The non-transitory computer-readable storage medium of claim 1 , wherein the one or more resolutions further include causing a reset of one or more nodes of the Wi-Fi network.
5. The non-transitory computer-readable storage medium of claim 1 , wherein the one or more resolutions further include determining each node of the Wi-Fi network is receiving power.
6. The non-transitory computer-readable storage medium of claim 1 , wherein the one or more resolutions further include causing addition or replacement of nodes to the Wi-Fi network.
7. The non-transitory computer-readable storage medium of claim 1 , wherein the one or more resolutions further include upgrading at least one of hardware of the Wi-Fi network and a service accessed via the Wi-Fi network.
8. The non-transitory computer-readable storage medium of claim 1 , wherein the one or more resolutions further include reducing interference with the Wi-Fi network.
9. The non-transitory computer-readable storage medium of claim 1 , wherein, in response to one of a loss of internet connection or a speed reduction of the internet connection to the Wi-Fi network, the one or more resolutions include any of rebooting hardware of the Wi-Fi network, ensuring proper connections for the hardware, and a recommendation to contact an associated internet service provider.
10. The non-transitory computer-readable storage medium of claim 1 , wherein the steps further include
obtaining feedback for determining whether the one or more resolutions improved the condition of the Wi-Fi network.
11. The non-transitory computer-readable storage medium of claim 1 , wherein a customer outreach workflow includes a support ticket that is pre-filled based on the alarms triggered in the Wi-Fi network.
12. The non-transitory computer-readable storage medium of claim 1 , wherein the steps further include
displaying in a user interface the one or more resolutions for the plurality of Wi-Fi networks.
13. The non-transitory computer-readable storage medium of claim 12 , wherein the user interface includes at least one of generation, engagement, and resolution of customer outreach workflows.
14. The non-transitory computer-readable storage medium of claim 13 , wherein the user interface includes any of types of customer outreach performed over a predetermined period, customer engagement with the customer outreach performed, and resolutions based on the customer outreach performed.
15. The non-transitory computer-readable storage medium of claim 13 , wherein the user interface includes one or more graphs representing completions of the engagement and the one or more resolutions.
16. The non-transitory computer-readable storage medium of claim 13 , wherein the user interface includes one or more of overall statistics of the customer outreach workflows, the engagement, and the one or more resolutions.
17. The non-transitory computer-readable storage medium of claim 12 , wherein information displayed is filterable based on at least one of the customer, the Wi-Fi network, a region, and an internet service provider associated with one or more of the plurality of Wi-Fi networks.
18. A method comprising:
obtaining data, over the Internet, associated with a plurality of Wi-Fi networks, the obtained data for each Wi-Fi network corresponding to a condition of each Wi-Fi network, the condition indicating current instability in a respective Wi-Fi network within the 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;
aggregating and filtering the data;
analyzing the aggregated and filtered data, the analysis comprising correlating a state, a customer type and a severity of each condition of each Wi-Fi network via a machine learning model, the customer type for each respective condition of each Wi-Fi network being associated with a type of frequency for which the respective condition has been identified;
determining, based on the analysis via the machine learning model-based correlation of the state, the customer type and the severity of each condition of each Wi-Fi network, an alarm for a Wi-Fi network within the plurality of Wi-Fi networks; and
determining, based on the determination of the alarm, one or more resolutions for the condition of the Wi-Fi network within the plurality of Wi-Fi networks, the one or more resolutions include causing repositioning nodes of the Wi-Fi network, wherein a recommendation for repositioning the nodes of the Wi-Fi network relates to their physical location and topology, the recommendation is based on at least one of a signal strength between the nodes, a number of the nodes, a number of devices connecting to the nodes, network speed tests, alarms triggered by the Wi-Fi network, and a Quality of Experience of users of the Wi-Fi network.
19. An apparatus executing a cloud-based monitoring service for a plurality of Wi-Fi networks, the apparatus comprising:
a network interface communicatively coupled to the plurality of Wi-Fi networks via the Internet;
a processor communicatively coupled to the network interface; and
memory storing instructions that, when executed, cause the processor to:
obtain data, over the Internet, associated with the plurality of Wi-Fi networks, the obtained data for each Wi-Fi network corresponding to a condition of each Wi-Fi network, the condition indicating current instability in a respective Wi-Fi network within the 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;
aggregate and filter the data;
analyze the aggregated and filtered data, the analysis comprising correlating a state, a customer type and a severity of each condition of each Wi-Fi network via a machine learning model, the customer type for each respective condition of each Wi-Fi network being associated with a type of frequency for which the respective condition has been identified;
determine, based on the analysis via the machine learning model-based correlation of the state, the customer type and the severity of each condition of each Wi-Fi network, an alarm for a Wi-Fi network within the plurality of Wi-Fi networks;
determine, based on the determination of the alarm, one or more resolutions for the condition of the Wi-Fi network within the plurality of Wi-Fi networks, the one or more resolutions include causing repositioning nodes of the Wi-Fi network, wherein a recommendation for repositioning the nodes of the Wi-Fi network relates to their physical location and topology, the recommendation is based on at least one of a signal strength between the nodes, a number of the nodes, a number of devices connecting to the nodes, network speed tests, alarms triggered by the Wi-Fi network, and a Quality of Experience of users of the Wi-Fi network.