Chatbot Claim Adjudication for Distributed Service Catalogs

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Solution Overview

Problem

Existing systems for product catalog mapping and integration across distributed systems and interfaces are inefficient, particularly in automating the process of purchasing and managing add-on services like product protection plans and shipping protection plans, leading to difficulties in claim submission and adjudication for consumers.

Innovation Solution

A technology platform for product catalog mapping and integration across distributed systems, featuring a computer-implemented offer management system with a multilayer chat application/bot for claim adjudication, real-time dynamic offer determination, and automated processing of protection plan claims, utilizing AI and ML for eligibility assessment and claim processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If existing systems are used for product catalog mapping and integration, then basic service offering is possible, but the process is inefficient and lacks automation

Engineering Contradiction:
Improveautomation of service purchasing and managementVSAvoidefficiency of service offer management
Core Design Contradiction:
Extent of automationVSProductivity

Solution Approach 1:

The system enables self-service through automated claim adjudication where the chatbot independently processes claims by asking questions, evaluating eligibility, and making decisions without manual intervention. The offer management system automatically determines and presents customized service offers based on product catalogs and customer data.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical processes are replaced with AI/ML-based automated systems. The chatbot uses natural language processing to communicate with customers, while machine learning algorithms automatically adjudicate claims and determine service eligibility, replacing traditional manual processing workflows.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If separate entities process protection plans, then service specialization is achieved, but claim submission and dispute resolution become difficult for consumers

Engineering Contradiction:
Improveease of claim submission and dispute resolutionVSAvoidcomplexity of distributed systems integration
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system merges previously separate entities into an integrated platform where the offer management system, chatbot, and claim adjudication function as a unified ecosystem. This integration allows seamless communication between service providers and consumers while maintaining specialized processing capabilities.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The chatbot serves as an intermediary between consumers and the complex distributed system. It translates customer queries into system actions and presents processed information in user-friendly formats, simplifying the interaction with the underlying complexity of multiple integrated systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Adaptability or versatility

If real-time dynamic offer determination is implemented, then customization and relevance of service offers improve, but system complexity and processing requirements increase

Engineering Contradiction:
Improvecustomization of service offersVSAvoidcomplexity of offer management system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The offer management system dynamically adapts service offers based on real-time data from product catalogs, customer profiles, and purchasing context. Offers are continuously adjusted and personalized without requiring system redesign, enabling flexibility through configured parameters and rules.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes parameters such as service pricing, availability, and customization options based on real-time conditions. Machine learning models process multiple variables simultaneously to determine optimal offer parameters, managing complexity through data-driven parameter adjustment rather than system complexity.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20240428258A1Methods, systems, and non-transitory computer-readable mediums for product catalog mapping and integration across distributed systems and interfaces, dynamic determination and presentation of customized service offers and lifecycle management of services
Publication Date: 2024.12.26 EXTEND
  • US20240428258A1 patent drawing
  • US20240428258A1 patent drawing
  • US20240428258A1 patent drawing

AI summary

Embodiments of the presently disclosed technology provide systems and methods for catalog integration across distributed systems and interfaces. Such systems and methods may involve: (1) receiving, at an integration platform, a catalog of items from a merchant, the catalog of items including a first item; (2) determining, by the integration platform, a set of protection plan offers to display in a live website associated with the merchant, the live website displaying the first item with a frame object comprising the set of protection plan offers; (3) receiving, by the integration platform, a notification related to a transaction involving the first item and a customer; and (4) performing, by the integration platform, an action associated with the transaction and a first protection plan offer of the set of protection plan offers.