Multi-Service Conversation Intelligence for Cross-System Integration
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Solution Overview
Problem
Conventional systems require businesses to undertake complex and time-consuming tasks to integrate and synchronize data across different databases and environments for marketing, sales, and service activities, leading to inefficiencies and delays in customer interactions.
Innovation Solution
A multi-service business platform with a conversation intelligence system that processes recorded conversations, transcribes them, and extracts keywords, topics, and features, enabling seamless integration and analysis of customer interactions for improved marketing, sales, and service activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional systems are used to integrate and synchronize data across different databases and environments, then data from multiple sources can be obtained, but the process becomes complex and time-consuming
Solution Approach 1:
The patent introduces an intermediary layer (API gateway, data synchronization service) that mediates between different databases and applications. This intermediary handles data integration, transformation, and synchronization centrally, eliminating the need for each application to directly connect to multiple databases, thus reducing complexity and time while maintaining complete data integration.
Solution Approach 2:
The patent implements a universal data integration platform that serves multiple functions: data collection from various sources, data transformation between formats, data synchronization across systems, and data distribution to multiple applications. This multi-functional system replaces multiple separate integration processes, reducing overall time and complexity.
2Adaptability or versatility
If separate systems are used for marketing, sales, and service activities, then each function can be optimized independently, but complex tasks are required to obtain relevant information from other activities
Solution Approach 1:
The patent merges previously separate marketing, sales, and service systems into a unified multi-service business platform. This unified system maintains distinct functional modules for each activity but integrates them through shared data structures and communication protocols, allowing independent optimization while reducing integration complexity through standardized interfaces.
Solution Approach 2:
The patent segments the unified system into distinct functional modules (marketing module, sales module, service module) that can be independently developed, optimized, and maintained. Each module specializes in its specific function while communicating through standardized data formats and APIs, balancing specialization with integration simplicity.
3Reliability
If data is stored in separate databases with different native formats, then each database can be optimized for its specific purpose, but data transformation and normalization are required for use in different environments
Solution Approach 1:
The patent implements automatic parameter transformation mechanisms that dynamically adjust data formats, schemas, and structures when moving between different databases and applications. The system automatically detects source database parameters, transforms data to appropriate target formats, and normalizes structures, eliminating manual transformation complexity while maintaining storage optimization and reliability.
Data Source
AI summary
The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems. A system and method for providing conversation intelligence services may include pre-processing, transcribing, and post-processing. A conversation recording may be pre-processed generating a conversation record (e.g., conversation object). The pre-processed conversation recording may be transcribed into a transcript. The transcript may be post-processed which may include keyword extraction, topic extraction, feature extraction, event generation, trigger action, and/or search indexing. Conversation information may be presented based on the pre-processing, the transcribing, and the post-processing.