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Research Paper | Telecommunication Engineering | United States of America | Volume 13 Issue 10, October 2024 | Popularity: 5.7 / 10
Revolutionizing Telecom Commerce with AI/ML: A Comprehensive Study on API-Driven Customer Interaction and Automation
Rahul Khurana
Abstract: Telecom commerce is a complex and dynamic domain that involves multiple products, services, and channels. Customers frequently encounter challenges when finding, comparing, and purchasing the best options. Traditional e-commerce platforms are not designed to manage the nuances and variations of telecom products, such as compatibility, availability, or personalization. In this paper, we propose a novel approach to revolutionize telecom commerce with AI/ML using 300+ APIs. These APIs enable customers to interact with a chatbot through natural language commands, guiding them through the purchase journey. The chatbot integrates with a commerce platform that handles complex configurations, pricing, credit checks, and encryption using domain-specific APIs. We present diagrams illustrating the system?s architecture and argue that this approach enhances customer satisfaction and loyalty while reducing operational costs and increasing revenue for telecom providers.
Keywords: AI, ML, Telecom Commerce, Chatbots, API Integration, Natural Language Processing, Customer Interaction, eCommerce, Personalization, Secure Transactions, Digital Economy, Customer Journey, Product Configuration, User Experience, Automation, Customer Satisfaction, Operational Efficiency, Revenue Enhancement
Edition: Volume 13 Issue 10, October 2024
Pages: 757 - 759
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