Dynamic Customer Notification Delivery via Presence Detection
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Solution Overview
Problem
Conventional customer notification mechanisms fail to account for individual customer preferences regarding content type, presentation, notification medium, and timing, leading to missed communications and adverse customer reactions.
Innovation Solution
A computer-implemented method and apparatus that detect a customer's presence and attention across multiple interaction channels, providing notifications on the most active or likely channel based on presence and attention information, tailored to the customer's preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional mass consumption notification mechanisms are used, then notification delivery is simplified, but customer preference alignment deteriorates
Solution Approach 1:
The notification system dynamically adjusts delivery parameters based on real-time customer presence and attention detection. The system transitions from static mass delivery to dynamic personalized delivery by continuously monitoring customer interaction channels and attention states, thereby resolving the contradiction between delivery simplicity and preference alignment.
Solution Approach 2:
The system changes multiple notification parameters including delivery channel, timing, and content based on detected customer presence and attention parameters. By transforming notification delivery from fixed parameters to variable parameters that respond to customer state, the system achieves both operational efficiency and personalized adaptability.
2Productivity
If notifications are sent at convenient times for the enterprise, then notification delivery efficiency is improved, but customer availability deteriorates
Solution Approach 1:
The system implements feedback loops that continuously monitor customer presence and attention across interaction channels. This feedback mechanism enables the system to detect when customers are available and adjust notification timing accordingly, resolving the contradiction between delivery efficiency and customer availability.
Solution Approach 2:
The system performs preliminary detection of customer presence and attention states before delivering notifications. By preparing and monitoring customer availability in advance, the system ensures notifications are sent only when customers are likely to be available, maintaining both efficiency and customer convenience.
3Measurement precision
If multiple interaction channels are monitored for customer presence, then customer preference detection accuracy is improved, but system complexity deteriorates
Solution Approach 1:
The system employs a universal detection framework that handles multiple interaction channels (email, phone, web, mobile) through a unified presence and attention detection mechanism. This multi-functional approach enables accurate customer preference detection across diverse channels while managing system complexity through standardized detection protocols.
Data Source
AI summary
A computer-implemented method and an apparatus for providing customer notification detects the presence of a customer in one or more interaction channels from among a plurality of interaction channels. The presence of the customer in the one or more interaction channels is stored as presence information. Attention information corresponding to the customer is determined in connection with the presence information. The attention information indicates a current attention of the customer. A notification is provided to the customer on an interaction channel from among the plurality of interaction channels over which the customer is identified to be active or most likely to be active, based on the presence information and the attention information.