AI CHATBOT FOR WEBSITES

Traditional tech support bots often rely on extensive and expansive knowledge bases due to the complexity of the products they support. This can become problematic when the database is too large or overly complex. Bots may struggle to efficiently navigate or retrieve specific information quickly, leading to delays in response and a lack of precision in addressing customer issues. This issue is exacerbated when updates are made to products or services, as the knowledge base requires constant refinement and optimization to remain effective and manageable.

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Traditional bots often operate based on keywords and can only handle queries that fall within their programmed scope. This leads to a robotic and often frustrating experience for customers who have complex or nuanced issues, as these bots frequently provide irrelevant answers. In contrast, AI-powered chatbots can take natural language inputs and convert them into actionable insights that business leaders and employees can work with, leading to more accurate and responsive customer service.

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Traditional support bots often struggle with prolonged conversations where follow-up questions and clarifications are requested. These bots typically have limited contextual memory and may not effectively track the progression of the conversation. This results in difficulties providing coherent and relevant responses, often requiring the customer to repeat information. These bots typically have limited contextual memory and may not effectively track the progression of a conversation. This results in difficulties providing coherent and relevant responses to follow-up questions, often requiring the customer to repeat information, which can be frustrating and inefficient.

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