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Customer Support#21 Support Ticket
Complaint Resolution Automation System
"Resolve 70% of complaints before a human touches them"
70%
Auto-Resolved
<1 min
First Response
-65%
Resolution Time
The Problem
Complaints pile up across email, calls, social. Resolution times stretch into days. Angry customers escalate to negative reviews and refunds.
Workflow
How the system runs
- 01Complaint captured from any channel
- 02Classified + prioritised
- 03Routed to right team
- 04Customer informed with ETA
- 05Resolution tracked & confirmed
- 06Feedback collected
Customer Interaction
Support Ticket
Ticket
#48-2179 · Multi-channel support
ResolvedCSAT 5/5
- 09:12 · Customer · WhatsAppWater seepage on the 4th floor, near the balcony wall.
- 09:12 +3s · AI Support AgentLogged complaint #48-2179 · Category: Plumbing · Priority: HIGH. Plumbing team alerted.
- 09:14 · AI Support AgentEstimated technician arrival: 4 hrs. Tracking link shared on WhatsApp.
- 11:48 · Field TechOn-site. Identified joint failure. Repair underway.
- 14:02 · Field TechRepair complete. Customer signed off.
- 14:05 · AI Support AgentResolution confirmed. CSAT: 5/5. Ticket closed.
Dashboard & Reporting
Complaint Operations Dashboard
Complaint Operations Dashboard
Complaint resolution velocity
Live
Complaints Received
12,842
+18.7%
Tickets Resolved
11,365
+22.5%
Avg Resolution Time
16.4 hrs
−14.2%
Satisfaction Score
4.6 / 5
+8.1%
Auto-Resolved
70%
+11%
Escalation Rate
6.3%
−11.3%
Complaint resolution velocity
Resolution SLA
16.4h
avg resolution time
Urgent routed
1,246
priority
Repeat issues
214
flagged
Escalation rate
6.3%
−11%
Operational Improvement
Before vs After
Before
- Complaints scattered across email/calls/social
- Days to first response
- No tracking after escalation
- Repeat complaints unnoticed
After
- Unified intake across 6 channels
- First response under 1 minute
- Live status + ETA shared with customer
- Root-cause analytics for recurring issues
Business Impact
Measured outcomes
70%
Auto-Resolved Tickets
Under 1 min
First Response
65%
Resolution Time Reduction
+38%
Customer Satisfaction
Technology Stack
Enterprise architecture
3-week build · production-grade infrastructure
AI Layer
- OpenAI GPT-4o
- Claude 3.5
- Issue Classifier
Ticketing Layer
- Freshdesk
- Zendesk
- Priority Engine
Communication Layer
- WhatsApp Business API
- Gmail API
- Website Chat
Automation Layer
- n8n
- Escalation Router
Data Layer
- PostgreSQL
- Complaint Knowledge Base
Analytics Layer
- Power BI
- Resolution Time Dashboards
Suitable Industries
Real Estate Healthcare Education E-commerce Financial Services Hospitality Telecommunications
Implementation Brief
Complaint Resolution Automation System rollout plan
Architecture, integration layers, operating rhythm and KPI governance for a 3-week production rollout.
System Walkthrough
6-step workflow · 6 KPI dashboard · ticket interaction model
Project Note
"Customers don't mind problems. They mind being ignored. This system makes ignoring impossible."
Project Concept & Design
Anurag Dube
Developed Under
NeovraAI