ChatBot Builder-AI chatbot creation tool

Example

A retail company can set up separate conversation flows for different types of customer interactions, such as sales inquiries, product returns, and general support.

Scenario

In this scenario, a customer who is interested in buying a product will be guided through the sales process, including product recommendations, pricing details, and payment options. Meanwhile, a different customer trying to return a product will be taken through a return authorization process, with instructions on shipping and refund timelines.

Example

A healthcare provider might set up a chatbot to qualify new patients, asking for symptoms, preferred appointment times, and insurance details.

Scenario

The chatbot starts by asking the patient for their symptoms and insurance information. Based on the responses, it offers available appointment slots and books a time with the relevant healthcare provider. The bot can update custom fields in the CRM system with the patient’s preferences and symptoms for future reference.

Example

A SaaS company integrates the chatbot with their CRM system to capture lead information and follow up with email marketing campaigns.

Scenario

When a prospect interacts with the chatbot on the company’s website, the bot collects key information such as name, email, and interest in specific products. This data is automatically synced to the CRM, where the marketing team can follow up with personalized email campaigns or hand the lead over to the sales team.

Example

A dental clinic uses the chatbot to help patients book, reschedule, or cancel appointments based on real-time availability.

Scenario

When a patient interacts with the chatbot, they are prompted to provide their preferred appointment date and time. The bot checks the clinic's scheduling system in real-time and provides the available slots, allowing the patient to book or reschedule instantly. The system updates both the clinic’s internal calendar and sends a confirmation to the patient.

Example

A financial services company uses the chatbot to qualify leads based on income, investment goals, and risk tolerance.

Scenario

The chatbot interacts with potential clients, asking for details such as income range, investment history, and goals. Based on their responses, the bot assigns a lead score, which is synced with the company’s CRM system to prioritize follow-ups. If the lead score is high, the prospect is forwarded to a human advisor for further engagement.