POS Receipt Data Analysis for Personalized Recipe Suggestions

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Solution Overview

Problem

Current point-of-sale (POS) systems are limited in their ability to collect and analyze electronic receipt data, hindering their capacity to implement advanced services and marketing opportunities.

Innovation Solution

A system and method that enables POS systems to analyze customer receipt data to suggest relevant recipes by utilizing a recipe database, analyzing purchase patterns and cuisine preferences, and presenting personalized culinary suggestions to customers through a recipe module integrated with the POS system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If POS systems use traditional data collection methods, then system complexity is low, but the ability to analyze electronic receipt data and provide personalized services is limited

Engineering Contradiction:
Improveability to analyze electronic receipt dataVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a server as an intermediary component that handles the complex tasks of receipt data collection, storage, and analysis. The POS system itself remains relatively simple, while the server performs the sophisticated data processing. This mediator approach allows the POS system to gain advanced analytical capabilities without significantly increasing its own complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The server is designed to perform multiple functions: collecting receipt data from various POS systems, storing it in a database, analyzing purchase patterns, and generating personalized recommendations. This multi-functional approach consolidates complexity into a single universal platform that can serve multiple POS systems simultaneously.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Adaptability or versatility

If POS systems implement advanced analysis capabilities, then customer engagement improves, but implementation cost increases

Engineering Contradiction:
Improvepersonalized service capabilityVSAvoidimplementation cost
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The system segments the functionality into distinct modules: receipt data collection at POS terminals, centralized storage on the server, pattern analysis through algorithms, and recommendation generation. This segmentation allows each component to be developed and deployed independently, reducing overall implementation cost and complexity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system automatically collects receipt data, analyzes purchase patterns, and generates personalized recommendations without requiring manual intervention. This self-service approach reduces operational costs and makes the advanced capabilities more economically viable for implementation.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If POS systems collect detailed receipt data, then recipe suggestion accuracy improves, but data processing time increases

Engineering Contradiction:
Improvepurchase pattern analysis accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by continuously collecting and storing receipt data in advance, organizing it in a structured format in the database. This pre-processing allows the analysis phase to work with already-organized data, reducing the time required when generating recommendations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system maintains continuous data collection and analysis operations, constantly refining purchase pattern understanding. This continuous operation allows the system to process data efficiently over time, improving accuracy without significantly increasing the time for individual recommendation queries.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS10846778B2Recipe-suggestion apparatus and method
Publication Date: 2020.11.24 WALMART APOLLO LLC
  • US10846778B2 patent drawing
  • US10846778B2 patent drawing
  • US10846778B2 patent drawing

AI summary

A computer-implemented method is disclosed for suggesting recipes. Within the method, one or more point-of-sale transactions may be conducted. The transactions may involve a computer system and a customer possessing a mobile computing device. The computer system may store receipt data documenting the transactions. The computer system may also receive a request from the mobile computing device for one or more recipes, analyze the receipt data to identify at least one of the food patterns and food preferences of the customer, and identify one or more recipes corresponding to at least one of the food patterns and food preferences. The computer system may then pass the one or more recipes to the mobile computing device.