System and method for providing port resiliency and artificial intelligence (ai) recommendations for failed ports at an information handling system

A method executing computer-readable program code instructions for providing port resiliency and artificial intelligence (AI) recommendations for damaged ports at an information handling system comprising:

• executing, with a hardware processor, computer-readable program code instructions of a diagnostic subagent to detect damage, via port testing, to a first port at the information handling system and generate diagnostic port data describing the first port that is damaged among a plurality of ports at the information handling system;
• executing, with the hardware processor, computer-readable program code of a port identification and guidance module to gather baseline port mapping data describing mapping of hardware components including locations of the plurality of ports within the information handling system and capabilities of those hardware components and the plurality of ports;
• executing, with the hardware processor, computer-readable program code instructions of the port identification and guidance module to receive and input the diagnostic port data, baseline port mapping data, and hardware telemetry data for peripheral devices historically coupled to the plurality of ports, and executing a baseline mapping-to-text machine learning (ML) algorithm to generate user-guided text, audio, or image describing which port to use in lieu of the first port that is damaged;
• and
• executing, with the hardware processor, computer-readable program code instructions to display the user-guided text or image via a recommendation and guidance graphical user interface (GUI) on a display device or play user-guided audio via a speaker.

An information handling system comprising:

• a hardware processor, a data storage device, and a power management unit (PMU) to provide power to the hardware processor and data storage device;
• the hardware processor to execute computer-readable program code instructions of a diagnostic subagent to detect damage to a first port at the information handling system via port testing and generate diagnostic port data describing the first port that is damaged among a plurality of ports at the information handling system;
• the hardware processor to execute computer-readable program code of a port identification and guidance module to gather baseline port mapping data describing mapping of hardware components including locations of the plurality of ports within the information handling system and capabilities of those hardware components and the plurality of ports;
• the hardware processor to execute computer-readable program code instructions of the port identification and guidance module to receive and input the diagnostic port data, the baseline port mapping data, and hardware telemetry data for the hardware components and the plurality of ports into a baseline mapping-to-text machine learning (ML) algorithm to generate user-guided text or audio describing which port to use in lieu of the first port that is damaged;
• and
• the hardware processor to execute computer-readable program code instructions of a purchase recommendation module to generate a recommendation purchase order based on the baseline port mapping data, and the hardware telemetry data to match and identify purchasable hardware that can be used as a substitute to the first port that is damaged.