Split Ticket Suggestions via Foster Tickets and Server Analysis
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Solution Overview
Problem
Traditional point-of-sale (POS) devices have limited functionality in handling split tickets, making it difficult for merchants to efficiently manage and suggest split payments for groups of customers ordering multiple items.
Innovation Solution
Implementing a system where POS devices can transition from an open ticket mode to a split ticket mode, allowing items to be split into multiple tickets, and utilizing a server to provide intelligent split ticket suggestions based on item relationships and customer interactions, with foster tickets used to track and manage ticket states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional POS devices are used for simple ticket tracking, then the device complexity is low and ease of operation is high, but the functionality for handling split tickets and providing intelligent suggestions is limited
Solution Approach 1:
The system is segmented into multiple components: POS device for basic ticket creation, server for intelligent suggestion generation, and foster ticket mechanism for tracking split ticket states. This segmentation allows each component to specialize in specific functions, enhancing overall versatility while distributing complexity across the system architecture.
Solution Approach 2:
A server acts as an intermediary between the POS device and the ticket management system. The server receives ticket information from the POS device, generates intelligent split ticket suggestions, and communicates back to the POS device. This intermediary handles the complex processing logic, allowing the POS device to remain relatively simple while providing advanced functionality.
2Productivity
If manual ticket splitting is implemented without intelligent suggestions, then the device complexity increases moderately, but the productivity and efficiency in managing group transactions remains low
Solution Approach 1:
The server generates split ticket suggestions in advance by analyzing ticket information and item relationships before the merchant needs to process the split. This preliminary analysis and suggestion generation reduces the time required for manual decision-making during transaction processing, thereby improving productivity without proportionally increasing complexity.
Solution Approach 2:
The system provides feedback to the merchant in the form of intelligent suggestions based on analyzed ticket data. This feedback mechanism guides the merchant's split ticket decisions, reducing the time and cognitive load required for managing group transactions while improving processing efficiency through data-driven recommendations.
3Measurement precision
If foster tickets are used to track ticket states, then the measurement precision of ticket management is improved, but the device complexity and information processing requirements increase
Solution Approach 1:
Foster tickets serve as simplified copies or representations of the actual ticket states. Instead of processing complex nested ticket structures directly, the system creates foster ticket entities that capture essential state information. This copying approach maintains measurement precision for tracking while reducing the computational complexity of data processing.
Data Source
AI summary
This disclosure describes techniques and arrangements for splitting one or more items from a ticket to another ticket. Some techniques and arrangements facilitate the splitting of one or more items from an open ticket to one or more split tickets. In some implementations, a foster ticket is utilized to account for items associated with split tickets. Other techniques and arrangements include providing split ticket suggestions. In some implementations, split ticket suggestions are provided based on historical ticket information and/or customer information.