Predictive Receipt Retrieval via Location Confidence Scoring
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Solution Overview
Problem
Consumers face difficulties in locating and managing receipts for product returns, refunds, and warranty services due to the lack of an efficient system for organizing and retrieving relevant transaction information.
Innovation Solution
A predictive receipt retrieval system that uses geographic location to identify merchants and products eligible for post-transaction actions, determining a confidence score for potential returns or exchanges, and categorizing products based on this score to facilitate easy access for users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If consumers manually search through multiple receipts to identify products for returns or refunds, then they can locate the required information, but the process consumes significant time and effort
Solution Approach 1:
The system performs preliminary actions by automatically retrieving and storing receipt information in a database before the consumer needs it. When a consumer initiates a return or refund request, the system has already pre-processed and organized the receipt data, eliminating the need for manual searching and significantly reducing the time required to locate relevant information.
Solution Approach 2:
The system enables self-service by automatically identifying and presenting relevant receipt information to consumers without requiring manual intervention. The system autonomously queries the database using transaction details, matches receipts to purchased items, and displays the information, allowing consumers to complete returns or refunds without staff assistance.
2Productivity
If the system retrieves and stores all transaction receipts in a database, then receipt information is readily accessible, but the system complexity increases
Solution Approach 1:
The system introduces a database as an intermediary layer between the point-of-sale system and the consumer interface. The database stores receipt information in a structured format, acting as a mediator that simplifies data retrieval and processing. This intermediary structure enables efficient querying and matching of receipts to transactions without requiring complex real-time processing at the point of return or refund.
Solution Approach 2:
The system creates digital copies of physical or electronic receipts and stores them in a database. These copies contain all necessary transaction information in a standardized format, allowing the system to efficiently retrieve and process receipt data without handling the original physical documents or complex electronic file structures.
3Ease of operation
If the system automatically identifies eligible products for post-transaction actions, then consumer convenience is improved, but the processing complexity increases
Solution Approach 1:
The system applies parameter changes by using confidence scores to transform the complexity of product eligibility determination into a simple numerical ranking. Instead of presenting consumers with complex policy rules and eligibility criteria, the system converts all relevant factors (return policies, product categories, time since purchase) into confidence score parameters that automatically rank products by eligibility, simplifying the consumer interface while maintaining comprehensive processing logic.
Data Source
AI summary
In general, embodiments of the invention are directed to a system, method, or computer program product for providing a user with a predictive geo-location based receipt retrieval for post transaction action. Consumers receive e-receipts after handling a transaction with a merchant in many ways. These receipts can be stored and managed with considerably ease over physical receipts. Consumers may use these receipts after making a purchase for post transaction actions such as product return, product refund, warranty services, and/or the like. The present invention may be used to retrieve the receipts based on the consumer's geographic location, predicting a post transaction action scenario.