Real-Time Sentiment Scoring Across Customer Communication Channels
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Solution Overview
Problem
Existing customer management systems struggle to effectively monitor and understand customer sentiment in real-time across multiple communication channels, leading to fragmented interactions and inadequate satisfaction measurement.
Innovation Solution
A customer management system that monitors and scores sentiment in real-time by analyzing communication activities across various channels, providing sentiment scores based on language analysis and automated responses, and tracking communication progress to enhance customer relationships and operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If companies use multiple communication channels to interact with customers, then communication versatility is improved, but conversation fragmentation and system complexity increase
Solution Approach 1:
The patent combines multiple communication channels (email, social media, chat, phone) into a unified customer management system that aggregates all interactions in a single interface. This merging approach maintains versatility across channels while eliminating system fragmentation by providing a centralized view of all customer communications.
Solution Approach 2:
The customer management system is designed with multi-functional capabilities to handle diverse communication types (text, voice, video, social media posts) through a single platform. This universal system replaces multiple specialized tools, maintaining adaptability across channels while reducing overall system complexity.
2Quantity of substance
If companies increase the volume and variety of communication content, then customer interaction quality is improved, but real-time sentiment understanding becomes more difficult
Solution Approach 1:
The patent replaces manual sentiment analysis with automated natural language processing and machine learning algorithms. These computational systems continuously analyze communication content across all channels in real-time, transforming the manual process of understanding sentiment into an automated computational task that can handle high volumes of diverse content efficiently.
Solution Approach 2:
The system implements continuous feedback loops where sentiment analysis results are immediately fed back to customer service representatives and management. This real-time feedback mechanism enables rapid response to changing customer sentiment while processing large volumes of communication content through automated monitoring and alerting systems.
3Adaptability or versatility
If companies involve multiple employees and groups in customer interactions, then service coverage is improved, but real-time sentiment tracking becomes inadequate
Solution Approach 1:
The patent segments customer interactions into discrete, trackable units that can be monitored individually while maintaining overall context. Each employee's contribution to a customer interaction is captured as a separate data point, allowing precise sentiment measurement across multiple service representatives while preserving the complete customer journey view.
Solution Approach 2:
The unified customer management system acts as an intermediary platform that coordinates communications between multiple employees and customers. This central system aggregates sentiment data from all interaction points, providing comprehensive and precise sentiment measurement that accounts for contributions from various service representatives while maintaining a unified customer view.
Data Source
AI summary
A system and method are disclosed for scoring sentiments of communication activity and includes one or more databases that stores data describing electronic communication between one or more customer devices and one or more service center devices and a computer. The computer is configured to monitor communication activity of the one or more customer devices and the one or more service center devices to determine whether a communication channel has been opened between the one or more customer devices and the one or more service center devices and identify one or more communication activities associated with the electronic communications. The computer is further configured to compare the identified one or more communication activities with one or more predetermined communication data, determine a sentiment score based on one or more correlations between the identified one or more communication activities and the communication data.