Entity Search for Entitlement Resolution

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Solution Overview

Problem

Existing technical support services face challenges in expediting entitlement processes due to invalid or incomplete user information, leading to delays and customer dissatisfaction, especially with the accumulation and replication of data across multiple databases creating complex dependencies.

Innovation Solution

Implementing entity search techniques that automatically process distributed data sources to identify and correct errors, apply scoring algorithms, and provide alternate sets of values to expedite entitlement resolution by auto-correcting customer input errors and exploring alternative entitlements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional entitlement verification methods are used with distributed databases, then data completeness can be maintained, but service processing time increases and customer satisfaction decreases

Engineering Contradiction:

Improvedata completenessVSAvoidservice processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary entity search and data validation before the entitlement verification process begins. By pre-processing and organizing data from distributed sources, the system prepares alternative data sets in advance, reducing the time required during actual service delivery while maintaining data completeness.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary entity search service that mediates between the distributed databases and the entitlement verification system. This intermediary consolidates and harmonizes data from multiple sources, enabling faster access to complete information without requiring direct queries to each distributed database during service delivery.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If manual entitlement verification processes are used, then accuracy can be maintained, but automation level remains low and processing efficiency decreases

Engineering Contradiction:

Improveverification accuracyVSAvoidprocess automation level

Core Design Contradiction:

Measurement precisionVSExtent of automation

Solution Approach 1:

The system implements self-service automation where the entity search service automatically queries distributed databases, validates data consistency, and generates alternative data sets without human intervention. The system self-corrects errors and validates entitlements autonomously, maintaining high accuracy while achieving full automation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent incorporates feedback mechanisms where the system continuously validates search results against entitlement requirements and adjusts its data collection and processing strategies. This feedback loop ensures verification accuracy is maintained while the system learns to optimize automated processing efficiency.

Inventive Principle:

Principle #23Feedback

3Measurement precision

If comprehensive data validation is performed across all distributed sources, then data accuracy improves, but system complexity increases

Engineering Contradiction:

Improvedata accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex validation process into distinct modules: entity identification, data collection, validation, and alternative set generation. Each module handles a specific aspect of data processing independently, reducing overall system complexity while maintaining comprehensive validation across all distributed sources.

Inventive Principle:

Principle #1Segmentation

4Measurement precision

If multiple alternate data sets are generated and scored, then entitlement resolution accuracy improves, but computational resources consumed increases

Engineering Contradiction:

Improveentitlement resolution accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system dynamically adjusts parameters such as the number of alternate data sets generated and the scoring threshold based on the specific entitlement query and data availability. This allows the system to optimize computational resource consumption by generating only the necessary number of alternate sets required to achieve accurate entitlement resolution.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10572881B2Applying entity search techniques to expedite entitlement resolution in support services

Publication Date: 2020.02.25 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Methods, systems, and computer program products for applying entity search techniques to expedite entitlement resolution in support services are provided herein. A computer-implemented method includes automatically processing multiple distributed data sources to identify data sources to be used in entitlement queries, identify data elements within each of the data sources, and implement search-enhancing features across the data sources; automatically searching the collection, in response to an entitlement query failure due to incorrect and/or missing data object values in a set of data object values input for the entitlement query, to identify alternate sets of values; applying a scoring algorithm to each of the alternate sets of values to generate a score that quantifies an amount of matching between each of the alternate sets and the set of data object values input in connection with the entitlement query; and outputting the alternate sets of values having the highest scores.