Visual Chat Bot Integration Platform for Dynamic NLP Responses
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional chat bot systems are generic and lack customization, failing to provide dynamic responses tailored to specific enterprise needs, requiring extensive custom coding and configuration to integrate with diverse computing systems and data formats, which is time-consuming and costly.
Innovation Solution
A low-code chat bot integration system that uses visual modeling tools to create customized chat bots by integrating natural language processing with business rules and data sources, allowing users to model data integration processes without writing code, leveraging open-standard formats like XML and JSON, and parsing APIs to generate custom connector code sets for dynamic responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional chat bot systems are used, then deployment is simple, but customization capability is limited and extensive coding is required
Solution Approach 1:
The patent introduces visual modeling tools as an intermediary between users and the chat bot system. These tools provide pre-built integration elements and connectors that mediate between natural language processing capabilities and enterprise systems, eliminating the need for users to write complex integration code while maintaining full customization capability.
Solution Approach 2:
The patent creates reusable templates and pre-configured integration elements that can be copied and adapted for different chat bot scenarios. These templates encapsulate common integration patterns and business rules, allowing users to deploy customized chat bots by copying and configuring existing elements rather than coding from scratch.
2Reliability
If chat bots are customized for specific enterprise needs, then response accuracy improves, but integration time increases
Solution Approach 1:
The patent pre-configures integration elements, connectors, and business rules before deployment. The visual modeling tools include pre-built templates for common enterprise systems and data formats, allowing users to achieve accurate customized responses by simply selecting and configuring pre-prepared elements rather than building integration logic from scratch.
3Adaptability or versatility
If extensive custom coding is performed, then chat bot functionality is enhanced, but development cost increases
Solution Approach 1:
The patent creates a universal visual modeling platform that handles multiple chat bot functionalities through a single interface. The system provides multi-functional integration elements that can connect to various enterprise systems, process different data formats, and implement diverse business rules without requiring separate coding for each function, thereby reducing development costs while maintaining enhanced functionality.
4Ease of operation
If natural language processing is integrated with business rules, then customer experience improves, but system complexity increases
Solution Approach 1:
The patent segments the complex integration of natural language processing and business rules into separate, manageable components. The visual modeling tools divide the system into distinct layers: natural language understanding, intent recognition, business rule evaluation, and response generation. Each layer is independently configurable through visual elements, reducing perceived system complexity while maintaining improved customer experience.
Data Source
AI summary
An information handling system and method for generating a customized chat bot integration software system wherein a processor imports a chat bot template process flow into a chat bot integration process-modeling user interface which includes visual interface modeling elements corresponding to code sets, wherein the chat bot integration process-modeling user interface may include visual, drag-and-drop icons representing specific units of work for a specific chat bot integration process and modifying and customizing the visual interface modeling elements in a custom chatbot integration software system via an import wizard user-interface allowing selection of operation objects from the plurality of operation objects for each visual interface modeling element. The information handling system and method utilizes a fulfillment and response database with chat bot conversation history and association of intent and slot combinations with chat bot query responses or data locations and a natural language processing platform to determine an intent and a slot in chat bot queries to generate both simple and dynamic a chat bot query response via the customized chat bot integration software system interfacing with a plurality of data formats.