Systems and methods for providing customized financial advice

Patent metadata

Field	Value
Publication number	US-2018336636-A1
Application number	US-201715665997-A
Country	US
Kind code	A1
Filing date	Aug 1, 2017
Priority date	May 16, 2017
Publication date	Nov 22, 2018
Grant date	—

Abstract

A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method for providing customized financial advice. The system may receive transaction data for a transaction associated with a customer and satisfaction data associated with the transaction. Based on the received transaction data and satisfaction data, the system may update a financial state of the customer and a financial policy for determining one or more actions to take in order to maximize a cumulative reward associated with the customer. The system may determine and output a recommended action based on the updated financial policy and customer financial state.

First claim

1 . A system for providing customized financial advice, comprising:
one or more processors; and a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
receive environmental data representative of an environment comprising a plurality of financial states, the plurality of financial states comprising a first financial state and a second financial state, the first financial state initially corresponding with a customer financial state associated with a customer;
receive financial policy data representing a financial policy for determining one or more actions from a plurality of actions to take in order to maximize a cumulative reward associated with a customer, each of the plurality of actions being associated with one or more financial decisions;
receive first transaction data for a first transaction associated with the customer;
receive first audio data indicative of a first spoken satisfaction communication from the customer, the first spoken satisfaction communication indicative of a first satisfaction of the customer regarding the first transaction;
analyze the first audio data to determine a first tone, a first pitch, and a first rate of speech associated with the first audio data;
determine first satisfaction data based on the first tone, the first pitch, and the first rate of speech;
update, based on the first transaction data, the customer financial state to correspond with the second financial state of the plurality of financial states;
update the financial policy based on the first transaction data;
receive second transaction data for a second transaction associated with the customer, the second transaction being associated with a purchase, investment, or other transaction different from a purchase, investment, or other transaction associated with the first transaction data;
receive second audio data indicative of a second spoken satisfaction communication from the customer, the second spoken satisfaction communication indicative of a second satisfaction of the customer regarding the second transaction;
analyze the second audio data to determine a second tone, a second pitch, and a second rate of speech associated with the second audio data; and
determine second satisfaction data based on the second tone, the second pitch, and the second rate of speech;
update, based on the second transaction data, the customer financial state to correspond with a third financial state of the plurality of financial states;
update the financial policy based on the second transaction data and the second satisfaction data;
update a relative customer satisfaction policy based on the first satisfaction data and the second satisfaction data;
determine a recommended action out of the plurality of actions based on the updated financial policy, the updated relative customer satisfaction policy, and the updated customer financial state; and
output, based on the recommended action, recommendation data for display by a user device associated with the customer.

2 . (canceled)

3 . (canceled)

4 . The system of claim 1 , wherein the first satisfaction data is associated with a recipient of a good or service purchased by the customer.

5 . The system of claim 1 , wherein one or more of the financial policy and the relative customer satisfaction policy is iteratively updated using reinforcement learning techniques in response receiving transaction data associated with a plurality of transactions.

6 . The system of claim 1 , wherein updating the relative customer satisfaction policy comprises:
determining a first reward based on the first satisfaction data; and determining whether the first reward increases or decreases the cumulative reward associated with the customer.

7 . The system of claim 6 , wherein determining the first reward comprises applying a set of rules associated with the financial policy to the second financial state and the first satisfaction data.

8 . The system of claim 6 , wherein the cumulative reward represents one or more of a savings goal, a passive income goal, a debt reduction goal, and a happiness goal.

9 . A method of providing customized financial advice comprising:
receiving environmental data representative of an environment comprising a plurality of financial states, the plurality of financial states comprising a first financial state and a second financial state, the first financial state initially corresponding with a customer financial state associated with a customer; receiving financial policy data representing a financial policy for determining one or more actions from a plurality of actions to take in order to maximize a cumulative reward associated with a customer, each of the plurality of actions being associated with one or more financial decisions; receiving first transaction data for a first transaction associated with the customer; receiving first audio data indicative of a first spoken satisfaction communication from the customer, the first spoken satisfaction communication indicative of a first satisfaction of the customer regarding the first transaction; analyzing the first audio data to determine a first tone, a first pitch, and a first rate of speech associated with the first audio data; and determining first satisfaction data based on the first tone, the first pitch, and the first rate of speech; updating, based on the first transaction data, the customer financial state to correspond with the second financial state of the plurality of financial states; updating, the financial policy based on the first transaction data; receiving second transaction data for a second transaction associated with the customer, the second transaction being associated with a purchase, investment, or other financial transaction different from a purchase, investment, or other transaction associated with the first transaction data; receiving second audio data indicative of a second spoken satisfaction communication from the customer, the second spoken satisfaction communication indicative of a second satisfaction of the customer regarding the second transaction; analyzing the second audio data to determine a second tone, a second pitch, and a second rate of speech associated with the second audio data; and determining second satisfaction data based on the second tone, the second pitch, and the second rate of speech; updating, based on the second transaction data, the customer financial state to correspond with a third financial state of the plurality of financial states; updating the financial policy based on the second transaction data and the second satisfaction data; updating a relative customer satisfaction policy based on the first satisfaction data and the second satisfaction data; determining a recommended action out of the plurality of actions based on the updated financial policy, the updated relative customer satisfaction policy, and the updated customer financial state; and outputting, based on the recommended action, recommendation data for display by a user device associated with the customer.

10 . (canceled)

11 . (canceled)

12 . The method of claim 9 , wherein the first satisfaction data is associated with a recipient of a good or service purchased by the customer.

13 . The method of claim 9 , wherein updating the relative customer satisfaction policy comprises:
determining a first reward based on the first satisfaction data; and determining whether the first reward increases or decreases the cumulative reward associated with the customer.

14 . A non

Assignees

• Capital One Services Llc

Inventors

• Jibowu Rashan
• Farris Brian
• Gaur Neeraj

Classifications

• G06Q40/06 Primary

  Asset management; Financial planning or analysis · CPC title

• G06Q10/04

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title