Rule-based chatbots

These chatbots follow canada whatsapp number data a strict script. Think of them as a friendly FAQ section that talks back. They’re programmed with pre-set rules and responses, like a flowchart guiding customers to answers.

What they’re great at:

• Answering routine questions (e.g., “What’s your return policy?” or “Are you open on Sundays?”).
• Providing basic product details (price, size availability, etc.).
• Handling simple tasks like tracking or cancelling orders.

Why businesses love them:

• They work 24/7, reducing customer wait times to zero.
• They handle the majority of repetitive questions, freeing human agents for more complex issues.
• They’re easy to set up with basic tools; no tech knowledge needed.

AI-powered chatbots

AI customer service making explicit buyer data actionable for sales: examples of an interactive journey
chatbots use machine learning to understand natural language, learning and adapting over time. The more they chat, the smarter they get.

What they’re great at:

• Giving tailored recommendations (e.g., “You liked moisturizers, try this vitamin C serum for glowing skin!”).
• Answering open-ended questions (e.g., “What foundation works for oily skin?”).
• Creating interactive experiences, like virtual styling sessions.

Why businesses love them:

• They mimic human conversations, making shoppers feel understood.
• They turn casual browsers into buyers by suggesting relevant products.
• They handle complex tasks, like troubleshooting or giving advice.

Retail chatbots excel at curating suggestions that align with individual customer preferences.

Sephora’s Virtual Artist chatbot is one of the best examples of this.

It suggests makeup products based on

a user’s past purchases and offers virtual try-ons using augmented reality (AR).