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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 11, ISSUE 4, APRIL 2024

SUPPLY CHAIN PARTNER ONBOARDING USING CONVERSATIONAL AI AND NLP IN B2B

A. SATHIYAPRIYA, ANUSHRI.S

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Abstract: The implementation of Onboarding B2B supply chain partners through the application of conversational AI and natural language processing (NLP). This study is to provide smooth communication between organizations in order to optimize and improve the onboarding process through the use of advanced technology. The research tackles the difficulties involved in information sharing, documentation, and teamwork during partner onboarding by incorporating conversational artificial intelligence. With the purpose of answering inquiries and offering support, the chatbot leads partners through the onboarding procedure. Additionally, the chatbot processes and extracts data from the partner's responses using natural language processing (NLP), doing away with the necessity for human data entry. The study looks at how natural language processing (NLP) can be used to automate the analysis of contracts, agreements, and other pertinent documents by extracting useful insights from textual data.

Keywords: Natural Language Processing (NLP), conversational AI, Chatbot, B2B,

How to Cite:

[1] A. SATHIYAPRIYA, ANUSHRI.S, “SUPPLY CHAIN PARTNER ONBOARDING USING CONVERSATIONAL AI AND NLP IN B2B,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2024.11425

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