Open Ticket System for Real-Time Customer Recommendations
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Solution Overview
Problem
Traditional point-of-sale (POS) devices have limited functionality in tracking customer interactions and preferences, which hinders personalized service and real-time recommendations during transactions.
Innovation Solution
Implementing an open ticket system that records interactions between customers and merchants, including items ordered, payment methods, and annotations, which is analyzed to provide real-time recommendations and enhance customer experiences by suggesting items, refills, and timely service actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional POS devices are used to track customer transactions, then basic transaction recording is achieved, but customer preference analysis and real-time recommendations cannot be provided
Solution Approach 1:
The ticket data structure is segmented into distinct fields: item information, customer information, payment information, and annotation information. This segmentation allows the system to capture comprehensive customer interaction data while maintaining organized, manageable data structures that can be efficiently analyzed for preferences and patterns.
Solution Approach 2:
The enhanced ticket system serves multiple functions: it records basic transaction details, captures customer preferences through annotations, enables real-time analysis for recommendations, and provides a foundation for personalized service across different merchants. This multi-functionality resolves the contradiction by making the ticket system versatile enough to handle both simple recording and complex analysis.
2Adaptability or versatility
If comprehensive customer interaction data is collected, then personalized recommendations can be provided, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary actions by collecting and structuring customer interaction data during the transaction itself, rather than attempting to analyze raw data in real-time. Annotations are captured immediately as they occur, and the structured ticket format enables efficient subsequent analysis without requiring complex real-time processing of unstructured information.
Solution Approach 2:
The patent replaces manual analysis of customer behavior with automated computational analysis of structured ticket data. The system uses algorithms to identify patterns, preferences, and opportunities for recommendations, substituting mechanical human analysis with efficient computational processing that operates rapidly on structured data.
3Productivity
If simple transaction tickets are used, then processing speed is maintained, but customer experience enhancement through recommendations is limited
Solution Approach 1:
The system extracts only the most relevant information from comprehensive customer interaction data for real-time recommendations, rather than processing all available data. By identifying and extracting key preference indicators and patterns from the annotated ticket information, the system provides personalized recommendations without requiring complex, time-consuming analysis of every data point.
Data Source
AI summary
Techniques and arrangements for analyzing previous tickets of a customer at different merchants—specifying interactions of the customer at the different merchants—to determine subsequent recommendations to send to a particular merchant in real-time when the customer is located at the particular merchant. Other techniques and arrangements facilitate annotation of merchant tickets by the merchants to enrich the data maintained by the tickets and, in some instances, to enhance the described real-time recommendations. Still other techniques and arrangements create a merchant ticket for recording interactions between a merchant and customer upon the customer creating a reservation at the merchant for a specified future time, or being added to a waitlist of the merchant. Upon the customer arriving at the merchant proximate to the specified future time, the merchant may use the created ticket to track items ordered by the merchants, track tenders used to pay for items, and the like.