Navigation System with Vacillation-Based Incentive Notification
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Solution Overview
Problem
Current navigation systems lack features to assist sellers in providing relevant messages for goods and services and consumers in making trips for bargain hunting and purchasing necessities, failing to offer effective location-based supplemental incentive notifications.
Innovation Solution
A navigation system that generates an initial offer notification and identifies consumer vacillation, followed by a supplemental incentive offer displayed on a device, using modules for offer generation, monitoring consumer behavior, and providing targeted incentives to encourage purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current navigation systems provide basic location-based notifications, then consumers can receive general offer information, but the system lacks the capability to identify consumer vacillation and provide targeted supplemental incentives
Solution Approach 1:
The system performs preliminary monitoring of consumer behavior indicators (such as viewing duration, interaction patterns, and navigation patterns) to identify vacillation before the consumer makes a final purchase decision. This allows the system to proactively intervene with supplemental incentives at the critical moment when the consumer is most likely to convert.
Solution Approach 2:
The system continuously monitors consumer responses to initial offers and uses this feedback to detect vacillation signals. When vacillation is detected, the system adjusts its response by providing targeted supplemental incentives. This closed-loop feedback mechanism enables the system to adapt to changing consumer intentions in real-time.
2Productivity
If the system monitors consumer behavior to identify vacillation, then supplemental incentives can be targeted effectively, but this increases system complexity and resource requirements
Solution Approach 1:
The system leverages existing navigation data and consumer interaction logs that are already being collected for other purposes. By analyzing this existing data for vacillation indicators, the system can identify conversion opportunities without requiring separate dedicated monitoring infrastructure, thus reducing the incremental complexity cost.
Solution Approach 2:
Instead of monitoring all possible consumer behaviors comprehensively, the system focuses on a limited set of key indicators that are most predictive of vacillation (such as extended viewing time, repeated navigation to the same location, or interaction with similar products). This selective monitoring approach achieves effective targeting while minimizing system resource requirements.
3Productivity
If the system provides frequent notifications to consumers, then consumer engagement increases, but unwanted notifications may be sent reducing consumer satisfaction
Solution Approach 1:
The system transitions from broadcasting notifications to all consumers to providing personalized notifications only to consumers showing vacillation signals. By tailoring the notification content and timing to the specific local context of each consumer's behavior pattern, the system maximizes relevance and minimizes unwanted notifications.
Solution Approach 2:
The system preliminarily identifies consumers who are likely to respond positively to notifications by detecting vacillation behavior before sending the supplemental incentive notification. This pre-screening ensures that notifications are sent only to consumers who are in a decision-making state, reducing the likelihood of unwanted notifications to consumers who have already made their decision or are not interested.
Data Source
AI summary
A method of operation of a navigation system includes: generating a notification of an initial offer; identifying a consumer's vacillation to the initial offer; and generating a second notification of the supplemental incentive offer based on the consumer's vacillation for displaying on a device.