POS Receipt Data Analysis for Personalized Recipe Suggestions
Find Innovative SolutionsGenerate Solutions
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
Engineering 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
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.
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.
2Adaptability or versatility
If POS systems implement advanced analysis capabilities, then customer engagement improves, but implementation cost increases
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.
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.
3Measurement precision
If POS systems collect detailed receipt data, then recipe suggestion accuracy improves, but data processing time increases
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.
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.
Data Source
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.


