Customer support · Production

Landbot chatbot for customer support: self-service and team inbox automation

The problem

Support teams need to handle customer queries around the clock at scale, manage sudden surges in ticket volume, and serve a global audience personally.

Workflow diagram · grounded in source
1
Customer contacts via channel
trigger
“WhatsApp Automation Website Chatbots”
2
Automated FAQ self-service
ai_action
“Enable self service for customers to resolve queries before they become tickets with automated FAQs & notifications on most asked support topics”
3
Human takeover for complex queries
human_review
“Empowering support teams with human takeover, automations, shortcuts and tools to solve complex support queries from multiple channels in one place”
4
Sync to support tools
integration
“Landbot connects with leading support tools to equip your customers and support agents with real-time customer info”
5
Analytics and performance reporting
output
“Set goals and track key support metrics using a built-in analytics dashboard or drill down into agent performance reports or user chat logs for granular insights”
Reported outcome

(not stated)

Reported stack
Landbot
Source
https://landbot.io/chatbot-use-cases/customer-service
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

(not stated)

What tools did this team use?

Landbot.

How is this customer support AI workflow structured?

Customer contacts via channel → Automated FAQ self-service → Human takeover for complex queries → Sync to support tools → Analytics and performance reporting.