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These chatbots follow predefined rules and patterns to respond to user inputs.
They are relatively simple and can handle basic tasks, such as answering frequently asked questions or providing scripted responses.
AI-driven chatbots use machine learning and NLP techniques to understand and respond to a wider range of user inputs.
They can adapt and learn from interactions, becoming more intelligent and context-aware over time.
Customer Support: Many companies use chatbots to provide instant support to customers. Chatbots can answer common questions, assist with troubleshooting, and even escalate issues to human agents when necessary.
Chatbots can help users find products, make purchase recommendations, and facilitate the shopping process in online stores.
Chatbots are used to provide information on various topics, weather updates, news summaries, and more.
In healthcare and other service industries, chatbots can help users schedule appointments or book reservations.
Virtual personal assistants like Siri and Google Assistant are chatbots that can perform tasks such as setting reminders, sending messages, and providing directions.
Chatbots are used in online education to answer student queries, deliver course materials, and provide study assistance.
Chatbots are used to provide information on various topics, weather updates, news summaries, and more.
In healthcare and other service industries, chatbots can help users schedule appointments or book reservations.
Virtual personal assistants like Siri and Google Assistant are chatbots that can perform tasks such as setting reminders, sending messages, and providing directions.
24/7 Availability: Chatbots can provide round-the-clock support, improving customer service availability.
They can handle multiple queries simultaneously, reducing response times.
Chatbots can scale easily to handle a large volume of inquiries without adding additional human resources.
Chatbots provide consistent responses and don't get tired, ensuring a uniform user experience.
Using chatbots can lower operational costs compared to maintaining large customer support teams.