US 12,169,870 B2
Automatic data-driven optimization of a target outcome using machine learning
Doruk Kilitcioglu, Somerville, MA (US); and Serdar Kadioglu, Somerville, MA (US)
Assigned to FMR LLC, Boston, MA (US)
Filed by FMR LLC, Boston, MA (US)
Filed on Feb. 13, 2023, as Appl. No. 18/108,715.
Prior Publication US 2024/0273623 A1, Aug. 15, 2024
Int. Cl. G06Q 40/04 (2012.01)
CPC G06Q 40/04 (2013.01) 28 Claims
OG exemplary drawing
 
1. A system for automatic data-driven optimization of a retirement plan target outcome using machine learning, the system comprising a server computing device with a memory for storing computer-executable instructions and a processor that executes the computer-executable instructions to:
generate a user feature dataset comprising static attributes and dynamic attributes for each of a plurality of users;
train an outcome prediction model using the user feature dataset to generate predicted values for a retirement plan target outcome;
identify one or more first user attributes associated with a user of a client computing device;
execute the trained outcome prediction model using the first user attributes to generate one or more second user attributes and a first predicted retirement plan score based upon the second user attributes;
display the second user attributes and the first predicted retirement plan score to the user of the client computing device;
receive user input corresponding to one or more preferences or constraints from the user of the client computing device;
adjust the trained outcome prediction model to incorporate the one or more preferences or constraints by changing one or more of the second user attributes based upon the user input;
execute the adjusted outcome prediction model to generate one or more third user attributes and a second predicted retirement plan score based upon the one or more third user attributes; and
display the third user attributes and the second predicted retirement plan score to the user of the client computing device.