Social Customer Care Platform Integrating CRM and Social Networks
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Solution Overview
Problem
Legacy CRM systems are inadequate in handling social media and social network data, leading to inefficient customer support, lack of visibility into existing answers, and challenges in prioritizing and measuring social media interactions, resulting in poor customer experiences and increased costs.
Innovation Solution
A social customer care platform that integrates with social media and social networks, enabling real-time data harvesting, automated prioritization, and matching of customer support requests, along with advanced visualization tools and workflows to enhance agent productivity and customer satisfaction measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy CRM systems are used to handle customer support, then existing customer data can be accessed, but social media data cannot be integrated and processed effectively
Solution Approach 1:
The patent combines legacy CRM systems with social media monitoring and analysis capabilities into an integrated platform. This merging allows the system to simultaneously access existing customer data from the CRM and process social media interactions, resolving the contradiction between maintaining reliable customer data access and adapting to handle new social media data sources.
Solution Approach 2:
The system is designed to perform multiple functions: traditional CRM customer relationship management, social media monitoring, sentiment analysis, and automated response generation. This multi-functionality enables the system to adapt to various data sources and interaction types while maintaining reliable customer support across different channels.
2Adaptability or versatility
If multiple social network channels are monitored manually, then comprehensive customer support coverage is achieved, but agent productivity decreases due to the volume of unstructured data
Solution Approach 1:
The system implements automated data harvesting, filtering, and prioritization capabilities that operate without continuous human intervention. The automated classification and routing mechanisms enable the system to self-manage the processing of large volumes of social media data across multiple channels, maintaining comprehensive coverage while preserving agent productivity by eliminating manual data processing tasks.
3Ease of operation
If all social media support requests are processed with equal priority, then fairness is maintained, but critical issues are not addressed promptly
Solution Approach 1:
The system performs preliminary analysis and classification of social media support requests before they reach agents. By pre-processing the data and assigning priority levels based on automated sentiment analysis and issue categorization, the system prepares the work queue in advance, ensuring that critical issues are automatically flagged and routed appropriately without requiring complex manual triage processes.
4Measurement precision
If detailed tracking of all social media interactions is implemented, then customer satisfaction measurement is improved, but system complexity increases
Solution Approach 1:
The system implements automated feedback mechanisms that track customer satisfaction metrics through social media interactions. By continuously monitoring and analyzing customer responses, sentiments, and feedback loops, the system achieves precise measurement of customer satisfaction while managing complexity through automated data collection and analysis rather than manual tracking processes.
Data Source
AI summary
Social customer service and support systems integrated with social media and social networks are disclosed. More particularly, a social customer care platform system is disclosed to allow customer care functions, and in particular to allow customer service agents to identify, prioritize, match and triage customer support requests that may arise through a social network and may be serviced using a social network. It manages and tracks a high-volume of customer interactions and provides for monitoring of Internet social network posts relevant to a business's products or services along with the ability to capture, monitor, filter, make sense of and respond to, in near real-time, tens of thousands of social interactions.