What is Chatbot?

Converge Converge Team

An automated program that simulates conversation with customers

What is Chatbot?

A chatbot is an automated program that handles customer conversations without human agent involvement. Chatbots range from simple rule-based systems (menu-driven flows that match keywords to predetermined responses) to sophisticated AI-powered assistants that understand natural language, maintain context across messages, and generate human-like responses.

In customer support, chatbots typically handle first-line triage: greeting customers, collecting basic information, answering common questions, and routing complex issues to human agents. They're particularly effective for high-volume, repetitive queries like order status checks, password resets, and business hours inquiries.

Why Chatbot Matters

Chatbots provide instant responses 24/7 without staffing costs. They handle an estimated 49% of website interactions in businesses that deploy them, and can reduce support costs by up to 30%. For teams that can't afford round-the-clock human coverage, chatbots ensure no customer message goes completely unacknowledged outside business hours.

The key is setting appropriate expectations. Customers are increasingly comfortable interacting with chatbots for simple questions, but 86% still want easy access to a human when the chatbot can't help. The best implementations use chatbots as a first filter, not a barrier.

Chatbot in Practice

An e-commerce store deployed a chatbot handling three flows: order status lookup (customer enters order number, bot retrieves status from their Shopify API), return policy questions (bot links to the policy page with a summary), and size guide requests (bot sends the relevant size chart). These three flows handled 55% of all incoming chat volume, reducing the human team's workload from 120 daily conversations to 54 without any decrease in customer satisfaction.

Related Terms

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Frequently Asked Questions

Rule-based chatbots follow predetermined scripts and keyword matching—they can only handle scenarios you've explicitly programmed. AI chatbots use natural language processing to understand intent, handle variations in phrasing, and generate contextual responses. Rule-based is simpler to set up; AI handles more complex interactions.
Only when they replace human support for complex issues or make it difficult to reach a person. Chatbots that handle simple questions quickly and seamlessly hand off complex ones to humans typically improve overall satisfaction by reducing wait times for everyone.
Track containment rate (percentage of conversations resolved without human handoff), customer satisfaction for bot-handled interactions, handoff rate to humans, and false positive rate (bot claiming to resolve an issue the customer later returns about). A good containment rate is 40-60%.