
A leading airline was struggling with low customer satisfaction (45%) on its digital chat support channels (website, mobile app, WhatsApp).
Key issues included:
Long wait times for agent responses
11,000 unattended chats carried forward from a previous partner
Robotic chatbot loops with no resolution
Multiple transfers between agents and bots
Lack of proactive updates on refunds, baggage, or flight status
With 60% of complaints originating from chat support, leadership identified this as a critical channel for building brand trust and customer loyalty.
The real problem wasn’t agent shortage—it was:
Fragmented workflows
Absence of governance and escalation protocols
Delayed reporting (weekly only, no real-time visibility)
Reactive rather than proactive resolution management
Key Pain Points:
Average First Response Time (FRT): >24 hours
Resolution updates only when customers followed up
Leadership blind spots due to lack of consolidated reporting
Analyzed customer journeys for Flight Changes, Refunds, Baggage & General Info
Identified frustration points: chatbot loops, no handover logic, delayed live agent responses
Implemented smart routing: high-priority queries (refunds, cancellations) → live agent instantly
Scenario-based transcripts for quick resolution
Weekly calibration sessions for supervisor upskilling
SLA-driven dashboards with real-time alerts for overdue responses
Backlog clearance of 11,000 pending chats
Executive performance classified by response quality
Training interventions for top 10 customer scenarios
A unified leadership dashboard enabled:
Live view of FRT, ART, SLA compliance
Top 10 recurring complaint drivers
Customer sentiment analytics from transcripts
Agent performance monitoring with proactive SLA alerts
| Metric | Before | After |
|---|---|---|
| First Response Time | ~24 hours | <2 mins |
| Resolution Time | 3–4 days | <24 hours |
| Chat Abandonment | 25% | <8% |
| SLA Compliance | <45% | >92% |
| Reporting | Weekly lag | Real-time |
Operational Efficiency
50% reduction in escalations to email/call center
Customer Experience Gains
Proactive updates reduced follow-ups by 45%
Satisfaction Impact
CSAT scores improved from 45% → 84% in just 6 months
Customer complaints about “unhelpful chat” dropped by 65%
This case study proves that data-driven contact center transformation is not about adding more agents—it’s about smart workflows, real-time insights, and proactive engagement.
At Vasutti, we specialize in:
Contact Center Optimization
Workforce Management & MIS
Data-Driven Customer Experience Transformation
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