SMSC.ru and TimescaleDB automations — Customer Support

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

44 scenarios

Website enquiry intake — a ticket log and an instant reply
Sorting customer feedback by category with alerts
Early churn-risk detection from Zendesk tickets
Support email triage: category, priority, a ticket and alerts for the critical ones
Support from chat and email in one place
Knowledge-base freshness monitoring — overdue articles come to you
Email and form requests in one stream, prioritised and auto-answered
Routing incoming requests to the right department
Instant property answers in the messenger — with hot buyers passed to an agent
Collect testimonials, analyse them and thank the customer
Tickets prioritized by importance, tasks created for you
All customer inquiries in one place — from email and web forms
Call analysis: an unhappy client pings the manager immediately
Inbound call triage: substance, urgency and a row in your sheet
Round-the-clock answers to hotel guests, in their own language
Stuck tickets, followed up automatically
A wall of love: positive reactions logged and shared with the team
A personal reply to every webinar attendee, automatically
Data-privacy complaint handling: register, reply, notify
Support inbox triage: urgent to the team, routine answered automatically
Instant call breakdown: objections, risks and the next step
Collect client reviews and summarize them to chat automatically
AI dish recommendations for every order in the messenger
A weekly breakdown of your team's calls — details in a sheet, summary in chat
An FAQ base that grows itself from your support emails
Support triage by urgency, done automatically
Form feedback sorts itself: tasks, table, alerts
Sales call analysis that updates the CRM for you
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
Tell customers their bug is fixed — the moment the issue closes
SLA monitoring that warns before a ticket breaches
Support auto-replies from a knowledge base, with hard cases handed to a human
Customer feedback sorted into themes, tasks and a weekly report
Support tickets turned into a prioritized engineering backlog
A full new-client welcome after the form
Social messages get sorted, and you approve each reply with a tap
Support ticket triage — simple ones close, hard ones go to an engineer
Tester feedback triage: tickets, knowledge base and a reply to the author
Feedback triage and customer replies — automatically
A clinic assistant in your messenger: answers, bookings, hand-off to a human