DESIGNING CONVERSATIONAL BOTS FOR REAL-WORLD CHALLENGES: A COMPREHENSIVE APPROACH
Keywords:
Conversational Bots, Natural Language Processing, API Integration, Rule-Based Routing, Context ManagementAbstract
Conversational bots have become increasingly popular for automating customer interactions and streamlining business processes. However, designing a bot that can effectively handle real-world challenges requires a comprehensive approach that incorporates various technologies and design principles. This article explores the key components and considerations for building a conversation bot designer platform, using a flight booking use case as an example. We discuss the role of natural language processing, personalized bot responses, entity fulfillment, context management, API integration, code execution, rule-based routing, context switching, and reusable sub-journeys in creating a robust and efficient conversational bot. The paper explores strategies for selecting appropriate classification models and large language models (LLMs) to expedite bot development while ensuring efficiency and reducing resource consumption.
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Copyright (c) 2024 Gaurava Srivastava, Abhi Ram Reddy Salammagari (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
