Automated Social Network Customer Support via Keyword Detection
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Solution Overview
Problem
Users often face challenges in accessing effective customer support for product or service issues, especially when they are not familiar with traditional support channels or find them inconvenient, and existing methods fail to proactively address these needs in social network environments.
Innovation Solution
A system and method that monitor social network messages for pre-determined customer support keywords, allowing a surrogate social network message to be sent automatically from a registered account, offering access to customer support resources via embedded links, thereby directing users to relevant support information without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional customer support channels are used, then customers can receive support, but users unfamiliar with traditional channels find them inconvenient and inaccessible
Solution Approach 1:
The patent introduces social network messages as an intermediary channel between customers and support systems. The system monitors social network platforms where users naturally communicate, detects support-related keywords, and automatically responds with support resources. This intermediary approach meets users where they already are (social networks) rather than requiring them to navigate to traditional support channels, thereby improving ease of operation while maintaining adaptability to modern communication environments.
2Measurement precision
If manual monitoring of social network messages is performed, then customer needs can be identified, but the process requires human intervention and is inefficient
Solution Approach 1:
The system implements automated keyword detection and message generation capabilities that operate without human intervention. The automated agent continuously monitors social network messages for pre-determined customer support keywords, automatically identifies users needing support, and sends surrogate messages with support resources. This self-service automation maintains high detection precision through programmed keyword matching while dramatically improving productivity by eliminating manual monitoring requirements.
Solution Approach 2:
The system establishes a feedback loop where social network messages are continuously monitored, analyzed for support needs, and trigger automated responses. When the automated agent detects a keyword indicating support need, it immediately responds with a surrogate message containing support resources. This real-time feedback mechanism ensures accurate detection of customer needs while maintaining high efficiency through automated response generation and delivery.
3Ease of operation
If automated surrogate messages are sent, then support accessibility is improved, but the system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring surrogate social network accounts, pre-defining customer support keywords, and pre-preparing support resource links. These preliminary setups are established before actual customer interactions occur. When a support need is detected, the system simply executes pre-planned response templates with embedded support links. This preliminary preparation reduces the complexity of real-time decision-making while maintaining high ease of operation for end users accessing support through familiar social network interfaces.
Data Source
AI summary
A method to provide customer support including searching a social network server for a pre-determined customer support keyword in social network messages, to obtain information of a social network message sender where the pre-determined customer support keyword identifies a need of the sender for customer support, automatically sending a surrogate social network message to the sender including an offer to obtain customer support via a customer support link embedded in the surrogate social network message, and presenting customer support information to the sender in response to the sender activating the customer support link upon receiving the surrogate social network message and accepting the offer.