RASA: Elevating Customer experiences with AI assistants
Sonali Sagar Kharade, Jaypalsinh A. Gohil
Conversational AI has evolved significantly over the years, transforming chatbots from simple rule-based systems to sophisticated, context-aware entities. Rasa, with its natural language processing (NLP) capabilities and machine learning algorithms, stands at the forefront of this transformation, enabling developers to build chatbots that understand, interpret, and respond to user queries in a manner resembling human conversation. The way businesses engage with their consumers is being revolutionized by chatbots. They act as a service interface that helps clients make decisions more quickly by impacting their experience [23]. The perception of chatbot usage is key to determining the customer experience, as relevant answers to information requirements are crucial in providing a satisfactory interaction [25]. In the past couple of years, chatbots have become an integral part of the online customer experience. Customers often cannot discern whether they are interacting with a chatbot or a human, thanks to the rapid evolution of artificial intelligence. This has created immense opportunities for companies to leverage chatbot technology and enhance customer interactions.