US 12,217,277 B2
System and method for in-store customer feedback collection and utilization
Hamed Ahmadi, Burnaby (CA); and Parinaz Vahabzadeh, Albany, NY (US)
Assigned to Blue Boat Data Inc, New York, NY (US)
Filed by Blue Boat Data Inc, New York, NY (US)
Filed on Feb. 16, 2022, as Appl. No. 17/672,790.
Claims priority of provisional application 63/212,123, filed on Jun. 18, 2021.
Prior Publication US 2022/0405781 A1, Dec. 22, 2022
Int. Cl. G06Q 30/0203 (2023.01); G06Q 30/0242 (2023.01); G06Q 30/0251 (2023.01)
CPC G06Q 30/0203 (2013.01) [G06Q 30/0244 (2013.01); G06Q 30/0268 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system for calculating one or more hypotheses and determining at least one action item using an artificial intelligent (“AI”) model, the system comprising:
a frontend system communicatively connected to a backend system and configured to:
collect customer feedback data from a customer regarding at least one attribute of a target product or service via a first user interface, wherein the frontend system receives the customer feedback data and the customer feedback data comprises the at least one attribute and a quality corresponding to the at least one attribute, wherein the frontend system is further configured to:
tailor a visual display of the first user interface to limit data entry for the customer feedback to a set of structured data fields, wherein the set of structured data fields reflect summarized hypotheses data including a product field, a product attribute field, a product attribute value field, and an action field; and
display a first screen of the first user interface tailored to capture respective ones of the set of structured data fields, the first screen configured to limit data entry to the product field, product attribute field, the product attribute value field, and the action field;
transmit the collected customer feedback data including the set of structured data fields to the backend system;
receive the one or more hypotheses from the backend system;
receive a response from the customer based on the one or more hypotheses; and
transmit the response to the backend system;
the backend system comprising a processor and a data system, the data system configured to store system data, wherein the system data comprises data related to a plurality of alternative products or services;
wherein the processor is configured to:
in response to receiving the customer feedback data, calculate the one or more hypotheses defined by a structured data model including the set of structured data fields,
wherein the operation of calculate is performed based on executing one or more operations configured to:
access to the collected customer feedback including the set of structured data fields, and
input the set of structured data fields to the AI model trained to output a hypothesis in response to the input of the set of structured data fields, including the product field, product attribute field, the product attribute value field, and the action field, and
receive the output one or more hypotheses of the AI model, wherein the one or more hypotheses are indicative of a question or action regarding the target product or service based on the customer feedback data, and
transmit the one or more calculated hypotheses to the frontend system to be presented to the customer;
analyzing the response to determine at least one action item to be taken, including validation of the AI model output in response to a positive response and invalidation the AI model output in response to a negative response; and
transmit the at least one action item the frontend system for execution, the at least one action item including automatic identification of new and non-existing inventory.