AI-Powered Contact Center Analytics
Most contact centers measure precise queue wait times and Average Handle Time (AHT), but remain blind to why customers call in the first place, which digital journeys broke down, and why identical issues recur endlessly. ZharfAva makes the unstructured content inside conversations completely searchable, auditable, and quantifiable.
Telephony Telemetry (AHT / Queue) vs. Deep Conversational Understanding
Legacy Contact Center Metrics
- •Average Handle Time (AHT) is measured at 4 minutes 12 seconds.
- •Queue abandonment rate is monitored at 8%.
- •Yet supervisors cannot see why those 4 minutes were consumed or what caused customer friction.
ZharfAva Conversational Insights
- Root Cause Discovery: 62% of prolonged calls stem from ambiguous transaction SMS notifications.
- Repeat Call Tracking: 34% of callers dial back within 48 hours due to unfulfilled agent promises.
- Early Discontent Flags: Systemic bottlenecks in tracking code issuance detected before customers escalate.
Core Pillars of ZharfAva Contact Center Intelligence
Repeat Contact Analysis
Why was the inquiry unresolved on first contact (FCR)? Pinpoint agent knowledge gaps, missing permissions, or upstream software glitches.
Early Friction & Churn Detection
Detect high-urgency keywords like “regulatory escalation”, “formal legal complaint”, or “subscription cancellation” for rapid tier-2 routing.
Automated Topic Taxonomy
Auto-categorize hundreds of thousands of calls without relying on manual agent disposition codes, which are frequently hurried and inaccurate.
Enterprise Pilot Roadmap: Fast Validation With Zero Core System Disruption
Assessing ZharfAva’s conversational accuracy and ROI does not require altering your PBX, ACD, or CRM infrastructure:
Upgrade Your Contact Center Operations
Schedule a technical consultation tailored to your telephony volume and enterprise infrastructure.