Case Study
E-commerce Support Automation
How a regional online retailer reduced support queue pressure while improving customer experience quality.
Snapshot
- Industry: E-commerce
- Region: APAC
- Timeline: 8 weeks (pilot to full rollout)
- Deployment period: Q4 2025
Baseline
| Metric | Before HoverBot | After 8 Weeks |
|---|---|---|
| Ticket deflection | 0% | 33% |
| First response time | 11h 18m | 1m 52s |
| Backlog volume | 2,430 open tickets | -58% |
| Post-chat CSAT | 72 | 85 |
Methodology note: Results are measured using the chatbot benchmark methodology. Deployment period and metric definitions are documented in this case study.
What Changed
- Built intent-specific response flows for shipping, returns, and order status
- Enabled fallback routing for payment and fraud-related cases
- Connected escalation path into existing helpdesk workflow
- Ran weekly closed-loop updates from unresolved conversation clusters
“Our team stopped drowning in repetitive order-status tickets. We now spend time on real customer problems instead of queue triage.”
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Last reviewed: March 2026