Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the modern digital era, the ability to provide
efficient, personalized, and accessible customer
service is crucial, especially in the e-commerce
sector, where customer interaction is frequent and
diverse. Chatbots, powered by Artificial
Intelligence (AI) and Natural Language Processing
(NLP), have become essential tools for enhancing
customer support and engagement. This research
presents the development of a multi-lingual e-
commerce chatbot designed to handle customer
inquiries in various languages in real-time,
offering seamless support without requiring the
user to manually switch languages. The chatbot
utilizes the ChatterBot library for intelligent
conversation management, coupled with the
Google Translate API to enable dynamic
language detection and translation. It is trained on
a comprehensive set of e-commerce-specific
questions and answers, ensuring its proficiency in
addressing common queries related to products,
services, order management, payment methods,
and other customer support issues. The integration
of these technologies allows the chatbot to interact
with users in their preferred languages,
automatically translating both the user input and
the chatbot’s responses.
Keywords: Chatbot, E-commerce, Multi-lingual
Support, Natural Language Processing
(NLP), Machine Learning, ChatterBot, Google
Translate API, Artificial Intelligence (AI),
Customer Support, Language Detection, Real-time
Translation, Flask Web Framework,
Conversational Agent, Customer Engagement,
Intelligent Virtual Assistant, Cross-cultural
Communication, Automation in Customer Service,
Machine Translation, Personalized Assistance.
Keywords:
Cite Article:
"Development of a Multi Lingual E-Commerce Chatbot For Real Time Customer Support Using AI and Machine Translation ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.b510-b513, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505158.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator