View source for 20240020711. METHODS AND SYSTEMS FOR CUSTOMER ACCOUNTS ASSOCIATION IN MULTILINGUAL ENVIRONMENTS simplified abstract (Caterpillar Inc.)

=METHODS AND SYSTEMS FOR CUSTOMER ACCOUNTS ASSOCIATION IN MULTILINGUAL ENVIRONMENTS=


==Organization Name==

[[:Category:Caterpillar Inc.|Caterpillar Inc.]]


[[Category:Caterpillar Inc.]]

==Inventor(s)==

[[:Category:Mark G. Gobrial of Washington IL (US)|Mark G. Gobrial of Washington IL (US)]][[Category:Mark G. Gobrial of Washington IL (US)]]

[[:Category:Tianyi Li of Chicago IL (US)|Tianyi Li of Chicago IL (US)]][[Category:Tianyi Li of Chicago IL (US)]]

[[:Category:Daniela Radakovic of Chicago IL (US)|Daniela Radakovic of Chicago IL (US)]][[Category:Daniela Radakovic of Chicago IL (US)]]

[[:Category:Toby Tennent of Chicago IL (US)|Toby Tennent of Chicago IL (US)]][[Category:Toby Tennent of Chicago IL (US)]]

==METHODS AND SYSTEMS FOR CUSTOMER ACCOUNTS ASSOCIATION IN MULTILINGUAL ENVIRONMENTS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240020711 titled 'METHODS AND SYSTEMS FOR CUSTOMER ACCOUNTS ASSOCIATION IN MULTILINGUAL ENVIRONMENTS

==Simplified Explanation==

The patent application describes a technique for associating customer accounts in multilingual environments using a data aggregation system. The system employs a machine learning algorithm to identify accounts belonging to the same customer based on relevant account information such as customer name, address, email, phone number, industry type, or fleet type. The system creates features and performs a coarse pass to identify potential account pairs, then prepares an input core dataset for account association. The core dataset is updated at regular intervals with newly identified or changed records.

* The patent application describes a method and system for customer accounts association in multilingual environments.
* The system utilizes a machine learning-based algorithm to identify accounts belonging to the same customer based on relevant account information.
* Inputs for the algorithm can include customer name, address, email, phone number, industry type, or fleet type.
* The system employs feature creation and a coarse pass to identify likely account pairs.
* Account association is performed by preparing an input core dataset.
* The core dataset is updated at predefined time intervals with newly identified or changed records.

Potential Applications:

* Customer relationship management systems
* Multilingual customer support platforms
* E-commerce platforms with multilingual customer databases

Problems Solved:

* Efficiently associating customer accounts in multilingual environments
* Reducing manual effort in identifying and linking customer accounts
* Improving data accuracy and consistency in customer account management

Benefits:

* Streamlined customer account management process
* Enhanced customer experience through accurate and efficient account association
* Improved data quality and reliability in customer databases


==Original Abstract Submitted==

a technique is directed to methods and systems for customer accounts association in multilingual environments. the data aggregation system can utilize a machine learning-based algorithm that identifies all the accounts belonging to the same customer based on relevant account information. inputs can include customer name, customer address, email, phone number, type of industry, or type of fleet. the system utilizes feature creation and a coarse pass to identify likely account pairs, perform account association by preparing an input core dataset, and update the core dataset at a predefined time interval with identified new or changed records.



[[Category:G06Q30/02]]