B2B SUPPLY CHAIN MANAGEMENT WITH CONVERSATIONAL AI USING NLP TECHNOLOGY (KEY IJP************567)

• Surya Kumar

Abstract

Supply chain partner onboarding is a critical process that involves the integration of new partners into a company's supply chain network. Traditional onboarding processes can be time-consuming and complex, involving multiple forms and manual data entry. Conversational AI and NLP (Natural Language Processing) can streamline the onboarding process by providing a more efficient and user-friendly experience for both the company and its partners. This paper proposes a solution for supply chain partner onboarding using conversational AI and NLP in a B2B context. The solution involves the development of a chatbot that can interact with supply chain partners using natural language. The chatbot is designed to guide partners through the onboarding process, answering questions and providing assistance along the way. The chatbot also uses NLP to extract and process data from the partner's responses, eliminating the need for manual data entry. The proposed solution has several benefits. First, it can significantly reduce the time and resources required for onboarding new partners. Second, it can improve the accuracy and completeness of the data collected during the onboarding process. Third, it can enhance the user experience for partners, making the onboarding process more user-friendly and accessible. To develop and implement the solution, we will use a combination of open-source NLP libraries and cloud-based conversational AI platforms. We will also conduct usertesting to evaluate the effectiveness and user experience of the chatbot. In conclusion, the proposed solution for supply chain partner onboarding using conversational AI and NLP has the potential to transform the way companys onboard new partners, making the process more efficient, accurate, and user-friendly.