Systems and methods for managing customer job requests through job completion
In various embodiments, the present disclosure relates to managing customer infrastructure job requests through job completion. Steps include training a machine learning model with data associated with one or more customers of an infrastructure service provider; receiving one or more job requests from the one or more customers; identifying one or more insufficiencies in the one or more job requests based on the training; and performing one or more actions based on the identifying.
1 . A non-transitory computer-readable medium comprising instructions that, when executed, cause one or more processors to perform steps of:
training a machine learning model with data associated with one or more customers of an infrastructure service provider;
receiving one or more job requests from the one or more customers;
identifying one or more insufficiencies in the one or more job requests based on the training; and
performing one or more actions based on the identifying.
2 . The non-transitory computer-readable medium of claim 1 , wherein the one or more actions include any of automatically remedying the insufficiencies and notifying the one or more customers of the insufficiencies.
3 . The non-transitory computer-readable medium of claim 1 , wherein, responsive to receiving a plurality of job requests, the steps further comprise:
grouping the plurality of job requests based on the training.
4 . The non-transitory computer-readable medium of claim 1 , wherein the steps further comprise:
opening one or more jobs in an Enterprise Resource Planning (ERP) system associated with the infrastructure service provider based on the one or more job requests.
5 . The non-transitory computer-readable medium of claim 4 , wherein the steps further comprise:
providing a link associated with each of the one or more job requests to a web storage system, wherein the link is adapted to allow uploading of job data associated with each of the one or more job requests.
6 . The non-transitory computer-readable medium of claim 5 , wherein the steps further comprise:
closing one or more jobs based on the job data uploaded to the web storage system.
7 . The non-transitory computer-readable medium of claim 1 , wherein the training includes any of supervised and unsupervised learning.
8 . The non-transitory computer-readable medium of claim 1 , wherein the data includes historical job request data.
9 . A method comprising steps of:
training a machine learning model with data associated with one or more customers of an infrastructure service provider;
receiving one or more job requests from the one or more customers;
identifying one or more insufficiencies in the one or more job requests based on the training; and
performing one or more actions based on the identifying.
10 . The method of claim 9 , wherein the one or more actions include any of automatically remedying the insufficiencies and notifying the one or more customers of the insufficiencies.
11 . The method of claim 9 , wherein, responsive to receiving a plurality of job requests, the steps further comprise:
grouping the plurality of job requests based on the training.
12 . The method of claim 9 , wherein the steps further comprise:
opening one or more jobs in an Enterprise Resource Planning (ERP) system associated with the infrastructure service provider based on the one or more job requests.
13 . The method of claim 12 , wherein the steps further comprise:
providing a link associated with each of the one or more job requests to a web storage system, wherein the link is adapted to allow uploading of job data associated with each of the one or more job requests.
14 . The method of claim 13 , wherein the steps further comprise:
closing one or more jobs based on job data uploaded to the web storage system.
15 . The method of claim 9 , wherein the training includes any of supervised and unsupervised learning.
16 . The method of claim 9 , wherein the data includes historical job request data.