Image Processing System for Proactive Consumer Data Correlation

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Solution Overview

Problem

Current customization initiatives in consumer-driven markets are reactive and delayed, failing to proactively predict and enhance customer experience and loyalty through efficient, timely, and accurate user interface interactions.

Innovation Solution

A system that processes subject images and consumer data to generate product recommendations by determining image characteristics, correlating consumer data with product images, and generating electronic instructions for personalized product suggestions, incorporating predictive adjustments and natural language queries to improve recommendation accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If reactive customization initiatives are used to respond to consumer demands, then consumer preferences can be addressed, but the response is delayed and not proactive

Engineering Contradiction:

Improveresponse timeVSAvoidprediction accuracy

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The system performs preliminary actions by proactively analyzing consumer data (purchase history, browsing behavior, preferences) before consumers explicitly request customization. This allows the system to predict and prepare personalized content, product recommendations, and interface configurations in advance, eliminating the delay inherent in reactive approaches while maintaining high accuracy through data-driven predictions

Inventive Principle:

Principle #10Preliminary action

2Productivity

If manual image processing and product recommendation systems are used, then product recommendations can be generated, but the process is time-consuming and inefficient

Engineering Contradiction:

Improverecommendation generation speedVSAvoidrecommendation accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system replaces manual mechanical processes with automated electronic image processing and data analysis systems. Computers and algorithms automatically analyze consumer data, process images, generate product recommendations, and personalize content without human intervention, dramatically increasing processing speed while maintaining or improving accuracy through consistent, data-driven decision-making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically generating personalized product recommendations and customized content without requiring manual input from consumers. The system autonomously analyzes consumer behavior data, processes images, and delivers personalized results, making the entire recommendation process efficient and scalable while maintaining high precision through automated data correlation

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS10929913B2Systems, methods, and computer program products for intelligently processing and manipulating a subject image according to consumer data

Publication Date: 2021.02.23 UNITED PARCEL SERVICE OF AMERICAN INC

AI summary

A system, method and computer program product are provided for processing a subject image, consumer data, and product images to generate product recommendations. Subject images may be provided by consumers and may include products they wish to buy, and/or images of themselves to be utilized as an avatar. The subject image, and other images provided by other consumers may be processed to determine image characteristics, and correlations with consumer data including preferences, demographics, style preferences, physical characteristics, and/or the like. Trends, styles, and preferences may be intelligently learned such that relevant products are provided to a consumer. The subject image may be manipulated, such as by dressing an avatar in a recommended clothing article, and/or the like.