DESIGNING CONVERSATIONAL BOTS FOR REAL-WORLD CHALLENGES: A COMPREHENSIVE APPROACH

Authors

  • Gaurava Srivastava Oracle America Inc, USA. Author
  • Abhi Ram Reddy Salammagari 247 AI Inc, USA. Author

Keywords:

Conversational Bots, Natural Language Processing, API Integration, Rule-Based Routing, Context Management

Abstract

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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Published

2024-06-10