Point-of-Sale Content Display System for Personalized Transaction Profiles

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Solution Overview

Problem

Current point-of-sale systems lack personalization in content delivery, presenting the same messages to all customers, failing to utilize individual customer information for targeted advertising and entertainment at the point of sale.

Innovation Solution

A content display system proximate to a debit or credit card reader that obtains name information and generates customer profiles to tailor content based on demographic and purchase habits, using a transaction monitor and transmitter to deliver targeted multimedia content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If content display systems are implemented at point-of-sale locations, then customer engagement and advertising effectiveness are improved, but device complexity and data processing requirements increase

Engineering Contradiction:

Improvecontent personalization capabilityVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the content delivery process into distinct functional modules: a transaction monitor that captures payment data, a profile generator that creates customer profiles from transaction information, and a content player that delivers personalized content. This segmentation allows each component to perform its specific function independently, reducing overall system complexity while enabling personalization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary actions by generating customer profiles before content delivery occurs. Transaction information is captured and processed in advance to create profiles that store customer preferences and characteristics. This preliminary profile generation enables the content player to immediately deliver personalized content without requiring complex real-time analysis during the actual content delivery moment.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If transaction information is captured and processed to generate customer profiles, then content targeting accuracy is improved, but loss of time and processing delay increase

Engineering Contradiction:

Improvecustomer profile accuracyVSAvoidprofile generation time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-processing transaction information and generating customer profiles before content delivery is needed. Transaction data is captured and stored, then processed in advance to create profiles that contain customer preferences and characteristics. This preliminary processing eliminates the need for time-consuming real-time analysis during content delivery, reducing overall time loss while maintaining high profile accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback mechanisms where transaction information is continuously monitored and fed back into the profile generation process. This feedback loop allows the system to update and refine customer profiles based on actual transaction patterns, improving accuracy over time while the feedback mechanism operates efficiently in the background without causing noticeable delays in content delivery.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS8939361B2Systems and methods for targeted point-of-sale content delivery

Publication Date: 2015.01.27 OUTCAST MEDIA

AI summary

Systems and methods of presenting targeted content to consumers at a point of sale using a customer profile derived at least in part from consumer credit or debit card information transmitted from the point of sale.