Chatbot Integration System for Multi-Vendor Agent Selection
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Solution Overview
Problem
Enterprises face challenges in integrating and monitoring multiple intelligent conversational agents from different vendors due to the lack of a common platform, leading to increased costs and complexity.
Innovation Solution
A computer-implemented method and system for creating an online chatbot marketplace that allows vendors to upload and integrate intelligent conversational agents, generating a mega bot in real-time, and monitoring their performance based on trust scores, user data, and query aspects, enabling selection of the most suitable agent for user queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprises use multiple intelligent conversational agents from different vendors, then they can access diverse capabilities and specialized functions, but they face increased integration complexity and costs
Solution Approach 1:
The patent introduces a common integration platform that acts as an intermediary between multiple conversational agents and enterprises. This platform provides standardized interfaces, unified authentication mechanisms, and centralized management capabilities, thereby reducing integration complexity while maintaining access to diverse agent capabilities from different vendors.
Solution Approach 2:
The integration platform is designed with universal functionality to handle multiple types of conversational agents from different vendors through a single unified interface. It provides multi-vendor support, standardized data formats, and common management operations, allowing enterprises to access diverse agent capabilities without dealing with vendor-specific integration complexities.
2Adaptability or versatility
If enterprises integrate multiple conversational agents, then they can provide comprehensive service coverage, but monitoring and managing performance becomes more difficult
Solution Approach 1:
The patent implements a centralized monitoring system that collects performance data from multiple conversational agents and provides feedback to enterprises. This system tracks key performance indicators, generates performance reports, and enables comparative analysis across different agents, thereby simplifying the monitoring and management of comprehensive service coverage.
Solution Approach 2:
The patent combines multiple monitoring functions into a single unified monitoring interface that aggregates performance data from all integrated conversational agents. This consolidated approach allows enterprises to monitor service coverage and agent performance through one centralized system rather than managing separate monitoring tools for each agent.
3Adaptability or versatility
If enterprises deploy multiple conversational agents without a common platform, then they can utilize specialized functions, but they incur increased costs and operational barriers
Solution Approach 1:
The integration platform provides universal support for multiple conversational agents through standardized interfaces and common management operations. This eliminates the need for separate integration and management infrastructure for each agent, thereby reducing operational costs while maintaining access to specialized functions from different vendors.
Solution Approach 2:
The patent merges authentication, deployment, and management operations for multiple conversational agents into a single unified platform. This consolidation reduces operational barriers and lowers costs by eliminating redundant infrastructure and simplifying maintenance, while still enabling enterprises to utilize specialized functions from various agents.
Data Source
AI summary
The present disclosure provides a method and system to perform integration and monitoring of one or more intelligent conversational agents. The system creates an online chatbot marketplace to enable one or more vendors to upload the one or more intelligent conversational agents. The system integrates the one or more intelligent conversational agents to generate a mega bot in real-time. The system generates the mega bot based on integration of the one or more intelligent conversational agents. The system collects a first set of data. The system receives one or more queries from a plurality of users for the mega bot. The system selects a suitable intelligent conversational agent having a trust score above a threshold level based on a plurality of factors and the first set of data. The system creates a primary response for the one or more queries at the mega bot.


