AI Customer Experience Platform for Real-Time Interaction Analytics
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Solution Overview
Problem
Current customer support systems rely on manual processes and KPIs like AHT, requiring days or weeks to gather insights on resolution rates, customer sentiment, and satisfaction scores, limiting proactive decision-making and efficiency.
Innovation Solution
An AI and ML-powered customer experience intelligence platform that automates interaction monitoring and scoring across multiple channels, using NLP and predictive modeling to generate actionable insights in near real-time, facilitating data-driven decision-making and improving customer satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual processes and conventional KPI monitoring are used, then operational efficiency is maintained with existing resources, but insight generation time is excessive (days or weeks) and proactive decision-making is limited
Solution Approach 1:
The patent replaces manual mechanical processes with an automated AI/ML-based system. Specifically, it substitutes human analysts manually reviewing customer interactions with an automated platform that uses natural language processing, machine learning models, and predictive analytics to generate insights in near real-time, reducing insight generation from days/weeks to minutes/hours
Solution Approach 2:
The system enables self-service by automatically monitoring, analyzing, and generating insights from customer interactions without requiring human intervention for each analysis cycle. The AI/ML models continuously process data, identify patterns, and provide actionable insights autonomously, freeing human resources for strategic decision-making
2Productivity
If AI/ML models are deployed for real-time analysis, then insight generation speed is dramatically improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a multi-functional AI/ML platform that handles diverse customer interaction channels (voice, chat, email, social media) and multiple analysis types (sentiment analysis, topic modeling, predictive analytics) through a unified system architecture. This universal platform approach manages complexity by consolidating multiple functions into a single integrated solution rather than separate systems
Solution Approach 2:
The system introduces an intermediary layer of pre-trained AI/ML models that bridge raw customer interaction data and actionable insights. These models serve as mediators that automatically process unstructured data, extract meaningful patterns, and translate them into business-ready insights, simplifying the complexity of direct data analysis
3Measurement precision
If comprehensive interaction monitoring is implemented, then measurement precision of customer sentiment and resolution rates is improved, but data processing requirements and computational resources increase
Solution Approach 1:
The patent applies partial action by focusing AI/ML analysis on specific critical aspects of customer interactions rather than processing every single data point equally. The system selectively monitors key parameters such as sentiment shifts, topic relevance, and resolution indicators, applying advanced analytics only where needed to maintain precision while optimizing resource usage
Data Source
AI summary
An artificial intelligence (AI) and machine learning (ML) powered customer experience intelligence platform is adapted to collect interaction data and metadata associated with interactions between customer computing devices and agent computing devices, generate a transcript for each interaction between the customer computing devices and the agent computing devices based on the collected data, apply AI/ML model(s) to the transcripts to perform deep analytics and interaction monitoring to generate interaction insights for each interaction, and predict scores rating agent behavior during each interaction, and display the predicted scores and the generated interaction insights on a graphical user interface, for example, a dashboard.