A custom AI chatbot for customer support should have several key features to ensure effectiveness. These include natural language processing (NLP) to understand customer queries, personalized responses, and the ability to handle multi-channel interactions (e.g., web, social media, and mobile apps). Integration with customer databases allows the bot to offer personalized assistance, such as retrieving order history or providing tailored product recommendations. It should also be able to escalate complex issues to human agents seamlessly, ensuring no customer issue goes unresolved. Analytics capabilities are essential for tracking performance and improving responses over time.
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