Chat Service Platform Automating Responses via Session Retrieval
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Solution Overview
Problem
Existing customer service platforms face inefficiencies in providing scalable and cost-effective digital customer care through chat and instant messaging, as they lack effective methods for archiving and reusing chat data for training and quality assurance, and struggle to automate customer service operations.
Innovation Solution
A service platform that includes a processor and memory to receive chat requests, search a chat database for previous sessions, retrieve relevant chat data, and send it to client devices, enabling automated customer care by anonymizing and indexing chat data for reuse, and escalating chat sessions to live agent interactions when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chat data is archived for training and quality assurance purposes, then customer service quality improves, but storage costs and data management complexity increase
Solution Approach 1:
The patent extracts only the essential and useful information from chat data through automated analysis, separating valuable training content from unnecessary data. This reduces storage requirements and management complexity while maintaining service quality improvement.
Solution Approach 2:
The system automatically identifies and discards redundant or low-value chat data while recovering and preserving only the most useful information for training purposes. This selective approach reduces storage costs and simplifies data management.
2Productivity
If automated chat responses are implemented using previous chat data, then customer service efficiency improves, but accuracy of responses may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where automated responses are continuously evaluated and refined based on their performance. This allows the system to learn from mistakes and improve accuracy over time while maintaining high efficiency.
Solution Approach 2:
The patent performs preliminary analysis and preparation of chat data before implementing automated responses. By pre-processing and organizing data in advance, the system ensures more accurate responses are generated when efficiency is needed.
3Reliability
If all chat data is retained for extended periods, then training quality improves, but storage costs increase
Solution Approach 1:
The system extracts only the most valuable training elements from chat data, storing only what is essential for training quality. This reduces storage requirements while maintaining effective training programs.
Solution Approach 2:
The patent changes the parameters of data retention by implementing automated criteria for determining which data to keep and for how long. This optimized retention strategy reduces storage costs while preserving training quality.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a service platform that receives a chat request from a client device associated with a user. A chat database of previous chat sessions associated with other users is searched based on the chat request to identify a previous chat session corresponding to the chat request. Chat data corresponding to the previous chat session is retrieved from the chat database and sent to the client device. Other embodiments are disclosed.