Dynamic Line Management Based on User Tolerance
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Solution Overview
Problem
Public venues face challenges in managing customer wait times, leading to customer dissatisfaction and sales losses, as existing systems fail to effectively account for individual user tolerance and preferences when queuing.
Innovation Solution
A system that detects user positions and tolerance levels using Bluetooth Low Energy beacons, analyzing historical data and real-time activities to rearrange line positions and offer personalized incentives, allowing users to temporarily leave the line with minimal wait time impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customers wait in line to purchase products or receive services, then service quality and customer attention are improved, but customer satisfaction and sales are reduced due to long wait times
Solution Approach 1:
The system dynamically adjusts line positions based on real-time user tolerance levels rather than maintaining static first-come-first-served ordering. Users can move forward or backward in line based on their patience and willingness to wait, creating a flexible, adaptive queue management system that resolves the contradiction between service quality and wait time.
Solution Approach 2:
The system changes the parameter of line position from being solely determined by arrival time to being influenced by user tolerance levels. This parameter change allows the system to maintain service quality while reducing perceived wait time for impatient users through incentivized position adjustments.
2Ease of operation
If the system dynamically rearranges line positions based on user tolerance, then customer experience is improved, but system complexity increases due to tracking and managing user positions and preferences
Solution Approach 1:
The system employs self-service mechanisms where users independently indicate their tolerance for waiting through mobile device interactions. This eliminates the need for complex manual assessment by staff and allows the system to automatically adjust line positions based on user-provided data, reducing operational complexity while improving customer experience.
Solution Approach 2:
The system continuously collects feedback from users about their waiting tolerance and uses this feedback to dynamically adjust line positions. This feedback loop enables the system to adapt to changing user preferences in real-time without requiring complex predictive modeling, simplifying the overall system architecture.
3Adaptability or versatility
If users are allowed to leave and rejoin the line, then user flexibility is improved, but line management complexity increases due to tracking position changes and recalculating wait times
Solution Approach 1:
The system performs preliminary calculations of wait times and position adjustments before users actually leave or rejoin the line. By pre-calculating the impact of line departures and returns, the system minimizes the computational complexity required at the moment of change, making the process more efficient and manageable.
Data Source
AI summary
A system or method is provided to detect the positions of various users in line and determine the users' tolerance for waiting in line. Based on the tolerance of the users for waiting in line, the system may rearrange the line positions of the users accordingly. The user's tolerance may be detected by their current position, their current movements and activities, the user's purchase or transaction history, interests and hobbies, past line waiting experience, and the like. In an embodiment, the system may determine incentives or rewards and may offer them to the users who are waiting in line to incentivize them to stay in line.