Scriptera
CrateDB and Slack automations — Customer Support
Ready-made scenarios where CrateDB and Slack work for you (customer support): pick one — a copy appears in your account and runs on its own.
44 scenarios
- Chat messages — into support tickets
- Sorting customer feedback by category with alerts
- Take requests by voice and text in a messenger
- Early churn-risk detection from Zendesk tickets
- Support email triage: category, priority, a ticket and alerts for the critical ones
- Knowledge-base freshness monitoring — overdue articles come to you
- Email and form requests in one stream, prioritised and auto-answered
- Support & lead-capture chat assistant
- All customer inquiries in one place — from email and web forms
- Tickets prioritized by importance, tasks created for you
- Call analysis: an unhappy client pings the manager immediately
- Round-the-clock answers to hotel guests, in their own language
- A messenger assistant for text and voice — with memory
- Chat order-taking with you approving each payment
- A wall of love: positive reactions logged and shared with the team
- Support inbox triage: urgent to the team, routine answered automatically
- Data-privacy complaint handling: register, reply, notify
- Instant call breakdown: objections, risks and the next step
- Requests from messenger and email in one stream — with priority
- 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
- Support triage by urgency, done automatically
- Form feedback sorts itself: tasks, table, alerts
- An FAQ base that grows itself from your support emails
- Sales call breakdown: transcript, lead status, task
- All support tickets in one live spreadsheet
- Messenger support with built-in lead management
- Customer feedback from every channel, turned into themes and tasks
- Support metrics from two systems — in one weekly report
- 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
- Voice of the customer from every channel: collected, clustered, acted on
- 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
- Support email replies from your own knowledge base
- Feedback triage and customer replies — automatically
- A support desk in your messenger — with tickets and statuses
- A ready-made bot in Slack: chat, menu, and payment
