SMSC.ru and Webflow automations — Customer Support

Ready-made scenarios where SMSC.ru and Webflow work for you (customer support): pick one — a copy appears in your account and runs on its own.

60 scenarios

Negative feedback — straight to your team chat
Collect guest feedback into a sheet, with team alerts
Website enquiry intake — a ticket log and an instant reply
Team alerts for new support tickets
A form request into a tracker issue
Bad reviews go straight to your team chat and into a case
Sorting customer feedback by category with alerts
Ready marketing quotes from customer feedback
Product review triage — with a task and an alert on negatives
Early churn-risk detection from Zendesk tickets
Support from chat and email in one place
Support email triage: category, priority, a ticket and alerts for the critical ones
Knowledge-base freshness monitoring — overdue articles come to you
Routing incoming requests to the right department
Instant property answers in the messenger — with hot buyers passed to an agent
Email and form requests in one stream, prioritised and auto-answered
Social replies — straight into your work chat and your database
Win-back emails to lapsed customers — personal, on-brand, every day
Tickets prioritized by importance, tasks created for you
Collect testimonials, analyse them and thank the customer
All customer inquiries in one place — from email and web forms
Stuck tickets, followed up automatically
Inbound call triage: substance, urgency and a row in your sheet
Call analysis: an unhappy client pings the manager immediately
Round-the-clock answers to hotel guests, in their own language
A personal reply to every webinar attendee, automatically
Support tickets sorted by topic — counted and summarized to email
A wall of love: positive reactions logged and shared with the team
Instant call breakdown: objections, risks and the next step
Feedback triage: angry to chat, questions answered, ideas filed
Data-privacy complaint handling: register, reply, notify
Support inbox triage: urgent to the team, routine answered automatically
Collect client reviews and summarize them to chat automatically
Form feedback sorts itself: tasks, table, alerts
A weekly breakdown of your team's calls — details in a sheet, summary in chat
Sales call analysis that updates the CRM for you
AI dish recommendations for every order in the messenger
An FAQ base that grows itself from your support emails
Support triage by urgency, done automatically
Smart triage and replies for form inquiries
Sales call breakdown: transcript, lead status, task
All support tickets in one live spreadsheet
Support metrics from two systems — in one weekly report
A knowledge base from support tickets — automatically
Sales call reviews with coaching for your reps
Support auto-replies from a knowledge base, with hard cases handed to a human
Tell customers their bug is fixed — the moment the issue closes
SLA monitoring that warns before a ticket breaches
Customer feedback sorted into themes, tasks and a weekly report
Tickets: automatic triage by category and deadline reminders
A full new-client welcome after the form
Social messages get sorted, and you approve each reply with a tap
Tester feedback triage: tickets, knowledge base and a reply to the author
Feedback triage and customer replies — automatically
Handing the conversation from bot to human — when the client asks
App-store review replies — with review and logging
An assistant for customer chats, from your product info
Messenger support: answers from your knowledge base, calls a human in time
AI support across every channel, grounded in your docs
A clinic assistant in your messenger: answers, bookings, hand-off to a human