Automated Response Engine With Universal Omnichannel Data Space
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Solution Overview
Problem
Conventional electronic messaging platforms are limited in their ability to provide multiplexed, responsive interactions across different communication channels and computing platforms, leading to redundant resource usage and suboptimal functionality in generating relevant computer-generated responses.
Innovation Solution
An automated predictive response computing system that utilizes an omnichannel transceiver to receive and convert data from various communication channels, a feature extraction controller to identify intent and entities, and a universal data management engine to generate optimized responses, independent of the communication medium, facilitating agent-assisted or automated resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional bot applications are used to provide computer-generated responses, then responses can be generated on specific communication channels, but the system cannot multiplex across different data protocols and communication paths, leading to device complexity and limited adaptability
Solution Approach 1:
The patent implements a universal data management engine that serves multiple communication channels and protocols through a single unified system. This engine can process data from various sources (social media, messaging platforms, email) and generate responses across different channels, eliminating the need for separate bot applications for each channel and reducing overall system complexity.
Solution Approach 2:
The patent introduces an omnichannel transceiver as an intermediary component that sits between various communication channels and the data management engine. This transceiver handles protocol conversion and data normalization, allowing the core engine to work with a standardized data format while supporting multiple communication protocols, thus reducing the complexity of direct multi-channel integration.
2Productivity
If traditional server architectures implement bot applications for each channel, then channel-specific functionality is achieved, but redundant resources are required and productivity decreases
Solution Approach 1:
The patent merges multiple channel-specific processing functions into a single unified data management engine. By combining the capabilities of multiple separate bot applications into one engine that can handle various protocols and channels, the system reduces redundant computational resources while maintaining or improving response generation efficiency across all channels.
3Adaptability or versatility
If channel-specific bot applications are used, then responses can be tailored to specific platforms, but the system lacks the ability to provide consistent omnichannel experience and adaptability worsens
Solution Approach 1:
The patent implements a unified data model and processing logic in the universal data management engine that ensures consistent handling of data across all communication channels. By applying the same processing rules, data structures, and response generation logic uniformly across different channels, the system maintains response consistency and reliability while still adapting to channel-specific characteristics through the omnichannel transceiver.
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 an automated predictive response computing system independent of electronic communication channel of an electronic message payload, the automated predictive response computing system being configured to, for example, implement a universal data space based on, at least in part, conversational data flows, which may be classified and used to provide a predictive response to assist resolution, such as assisting an agent among other things. In an example, a method may include augmenting at least a subset of one or more portions of communication data, implementing augmented communication portion data to determine a predicted response, and generating data to facilitate the predicted response based on the subset of inbound electronic messages.


