Omnichannel Predictive Response Platform for Adaptive Data Flow
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Solution Overview
Problem
Conventional electronic messaging platforms are limited in their ability to provide automated responses across different data protocols, communication paths, and computing platforms, and are often language-specific, leading to inefficiencies and redundant resource requirements.
Innovation Solution
An automated predictive response computing system that uses an omnichannel transceiver, feature extraction controller, predictive intent controller, adaptive flow set selector, and linguistic language translator to analyze and respond to electronic messages independently of communication channels and languages, selecting appropriate adaptive flow sets to provide responsive messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional bot applications are implemented for automated responses, then automated response capability is provided, but the system is limited to specific communication channels and languages, requiring redundant resources for each channel
Solution Approach 1:
The patent implements a universal bot framework that can operate across multiple communication channels (SMS, email, social media, voice) and support multiple languages through a single unified architecture. The system uses standardized data protocols and communication paths that allow the same bot logic to serve diverse channels without requiring separate implementations for each channel, thereby achieving multi-functionality while controlling complexity.
2Measurement precision
If language-specific bot implementations are used, then accurate language understanding is achieved, but the system requires separate implementations for each language, increasing resource requirements
Solution Approach 1:
The patent introduces language translation services and natural language processing intermediaries that enable a single bot implementation to understand and respond in multiple languages. The system translates incoming messages from different languages into a common internal representation, processes them through the unified bot logic, and translates responses back to the user's language, thereby achieving multilingual capability without requiring separate bot implementations for each language.
3Reliability
If redundant bot implementations are created for each channel and language, then channel-specific optimization is achieved, but resource efficiency decreases due to duplication
Solution Approach 1:
The patent merges multiple channel-specific and language-specific bot implementations into a single unified bot framework. By combining the common functionality into a shared core and using configuration files to define channel-specific behaviors and language-specific translations, the system achieves channel-specific optimization where needed while eliminating redundant code and resources across the board, thereby improving resource efficiency without sacrificing reliability.
Data Source
AI summary
Various embodiments relate generally to data science and data analysis, computer software and systems, and control systems to provide a platform to implement automated responses to data representing electronic messages, among other things, and, more specifically, to a computing and data platform that implements logic to facilitate implementation of an automated predictive response computing system independent of electronic communication channel or linguistic language of an electronic message payload, the automated predictive response computing system being configured to implement, for example, adaptive data flow sets to automatically adapt a flow of responses responsive to, for example, classification of an electronic message. In some examples, a method may include detecting data representing one or more electronic messages, extracting features, identifying data representing intent-related data and data representing one or more entity attributes, and generating data as a reply as a function of intent-related data and one or more entity attributes.