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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42608

AI-Integrated Chatbot for Business Automation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42608

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM42608

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SY

Sejal Yadav

KS

Kishori Shekokar

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Abstract

This research paper analyzes chatbot integration in agrochemical websites through two case studies: Agrolifes Chat Assistant, chatbot, and Agrolifes Chemical India, platform incorporating chatbot functionalities within an enterprise re- source planning (ERP) system. The study explores how these chatbots assist customers with inquiries, product navigation, and tailored recommendations while evaluating their technical architecture, design, and usability . The Agrolifes Chat Assistant acts as a conversational interface for direct user engagement, handling product-related queries and guiding website navigation. In contrast, Agrolifes Chemical India leverages Odoo’s ERP capabilities, integrating chatbot functionalities across CRM, sales, and logistics to streamline business operations, reduce manual effort, and optimize re- source allocation. A comparative analysis highlights the strengths and limitations of both systems, assessing response accuracy, user adaptability, AI-driven learning, and multi-platform integration. Chatbots in the agrochemical industry enhance customer support, automate processes, and improve scalability, but challenges remain in handling complex queries, maintaining conversational flow, and ensuring data security.

KEYWORDS

Chatbot Agrochemical Industry ERP Odoo CRM AI-driven Learning Automation Customer Support Data Security Scalability.

Cite This Article

Sejal Yadav, Kishori Shekokar, "AI-Integrated Chatbot for Business Automation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/IJSREM42608

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Publication Date

3/18/2025

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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