Content Personalization via Extraction and Prioritization

Solution Overview

Problem

Modern businesses face inefficiencies in delivering personalized content to customers due to high volumes of irrelevant information, leading to reduced impact and increased time consumption in communicating product and service options.

Innovation Solution

A content management system that correlates customer needs with relevant information from databases, prioritizes actions, and generates personalized notifications via a processor to efficiently deliver targeted content, improving notification quality and reducing resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If businesses deliver information relating to each product and service option to the customer, then the customer receives comprehensive information, but it becomes cumbersome and ineffective due to high volume and irrelevance

Engineering Contradiction:
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The system extracts only the most relevant content related to customer needs from the broader product and service information, delivering a focused subset rather than comprehensive information. This resolves the contradiction by removing irrelevant information while retaining essential content.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies local quality by tailoring content delivery to specific customer needs and contexts, providing different levels and types of information relevance based on individual customer profiles and identified needs rather than uniform information delivery.

Inventive Principle:
Principle #3Local quality

2Loss of information

If businesses deliver comprehensive product and service information to the customer, then information completeness is maintained, but time consumption increases for content delivery

Engineering Contradiction:
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The system extracts and prioritizes only the most critical information related to customer needs, eliminating the need to process and deliver comprehensive but time-consuming content while maintaining information completeness for relevant matters.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary analysis of customer needs and pre-filters content before delivery, preparing only relevant information in advance. This reduces delivery time while ensuring information completeness for identified customer needs.

Inventive Principle:
Principle #10Preliminary action

3Loss of information

If businesses send multiple notifications to customers, then content coverage is improved, but notification impact decreases due to information overload

Engineering Contradiction:
Core Design Contradiction:
Loss of informationVSReliability

Solution Approach 1:

The system extracts and delivers only the most impactful content related to customer needs in fewer notifications, maintaining content coverage for essential information while preventing notification overload that reduces impact.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies partial action by sending a selective subset of notifications focused on high-impact content rather than comprehensive coverage through multiple notifications, achieving better effectiveness with fewer messages.

Inventive Principle:
Principle #16Partial or excessive action

4Loss of information

If businesses process and deliver personalized content for each customer, then content relevance is improved, but system resource usage increases

Engineering Contradiction:
Core Design Contradiction:
Loss of informationVSUse of energy by moving object

Solution Approach 1:

The system extracts only the essential customer-specific information needed for personalization, processing a focused subset of data rather than comprehensive customer profiles, thereby reducing resource consumption while maintaining personalization effectiveness.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system applies partial personalization by focusing resources on delivering personalized content for identified customer needs rather than comprehensive personalization across all customer attributes, reducing resource usage while maintaining relevant personalization.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS11989695B1Customer content personalization
Publication Date: 2024.05.21
  • US11989695B1 patent drawing
  • US11989695B1 patent drawing
  • US11989695B1 patent drawing

AI summary

The present disclosure relates generally to systems and methods for delivering personalized content to a customer. More specifically, the present disclosure relates to systems and methods for providing notifications related to the needs of a customer. A content management system may determine the needs of a customer as they relate to relevant products and/or services offered by one or more business entities, determine and prioritize actions that may fulfill these needs, and deliver personalized content to the customer based on the customer's information. Accordingly, the systems and techniques provided herein may improve the efficiency and reduce the time involved with delivering effective content to a customer.