US 12,147,549 B2
Intelligent estimation of onboarding times for managed services
Gregory Michael Ramsey, Seattle, WA (US); Elizabeth Anne Toth, Templeton, MA (US); Bijan Kumar Mohanty, Austin, TX (US); Damon Sonnenberg, Franklin, TN (US); Karen Lee Jones, Austin, TX (US); and Sushma Punugubati, Aubrey, TX (US)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jan. 14, 2022, as Appl. No. 17/648,020.
Prior Publication US 2023/0229793 A1, Jul. 20, 2023
Int. Cl. G06F 21/00 (2013.01); G06F 21/60 (2013.01)
CPC G06F 21/604 (2013.01) 20 Claims
OG exemplary drawing
 
1. A computer implemented method to determine an expected time needed to complete an onboarding process of a customer to a managed service, wherein the managed service is a service that remotely manages information technology (IT) infrastructure and/or user systems and the onboarding process includes loading data regarding the customer's devices and/or users into an IT service management (ITSM) system, the method comprising:
receiving, from the customer, a request for the expected time needed to complete the onboarding process of the customer to the managed service, the request including information regarding the customer to onboard;
determining that one or more features from the information regarding the customer are relevant to the expected time needed to complete the onboarding process based on a correlation between the one or more features and historical customer onboarding times;
determining, using a machine learning (ML) model, the expected time needed to onboard complete the onboarding process of the customer to the managed service based on the one or more relevant features; and
providing the determined expected time needed to onboard complete the onboarding process of the customer for presentation to the customer.