POS Transaction Data Analysis for Sales Growth Estimation

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Solution Overview

Problem

Existing methods for generating historical sales growth rate estimates from credit card transaction data overstate or understate retail industry performance due to factors like increased credit card acceptance and portfolio shifts between credit card providers.

Innovation Solution

A computer-implemented automated method selects a subset of POS transaction data from active accounts in two consecutive reporting periods, analyzes it based on a sorting category, and generates a report on sales growth rate, minimizing the impact of credit card acceptance trends and portfolio shifts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If raw credit card sales transaction data is used to generate historical sales growth rate estimates, then data availability is improved, but measurement precision deteriorates due to overstatement from increased credit card acceptance and portfolio shifts

Engineering Contradiction:

Improvedata availabilityVSAvoidsales growth rate accuracy

Core Design Contradiction:

Loss of informationVSMeasurement precision

Solution Approach 1:

The patent extracts only the necessary subset of transaction data - specifically sales transactions from accounts active during two consecutive reporting periods - while excluding data that would introduce distortion from credit card acceptance trends and portfolio shifts between providers

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the parameter of account selection criteria by requiring accounts to be active during two consecutive reporting periods, thereby filtering out accounts that would introduce measurement error from one-time credit card adoption or provider switching

Inventive Principle:

Principle #35Parameter changes

2Productivity

If automated computer analysis is used to process POS transaction data, then productivity is improved, but device complexity increases

Engineering Contradiction:

Improvereport generation speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs automated self-service by automatically selecting the appropriate subset of transaction data, analyzing it according to the sorting category, generating the sales growth rate estimate, and delivering the report without requiring manual intervention

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The automated system is designed to handle multiple sorting categories (e.g., by retail sector, by merchant type) and can generate various types of sales growth estimates using the same core processing framework, reducing overall system complexity through reuse

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS8195516B2Generating retail sales report

Publication Date: 2012.06.05 VISA USA INC

AI summary

A computer-implemented automated method of generating a report of sales growth estimate from point of sale transaction settlement database includes selecting a subset of the point of sale transaction data that represents sales transactions for accounts in the transaction settlement database that are active during two consecutive reporting periods from the point of sale transaction settlement database. The selected subset of the point of sale transaction data is then analyzed based on a sorting category resulting in an estimate of sales growth rate over the reporting period.