Boosting Efficiency and Agent Productivity in a Call Center with Rootle.ai"
The Overview:
This case study demonstrates how a call center improved its operations with Rootle’s AI-powered solution.
Struggling with high call volumes and low customer satisfaction, the center saw a 30% increase in CSAT and a 35% improvement in first-call resolution.
Rootle’s AI handled calls 24/7, scaling during peak hours, while industry-specific call flows streamlined processes.
Real-time analytics and multilingual support boosted engagement, reducing call drop-offs by 50% and driving overall performance improvements.
The Problem:
- High call volumes caused long waits and missed calls
- Outdated IVRs led to poor customer experiences
- Repetitive queries drained agent productivity
- No standard workflows led to inconsistent service
- Lack of call insights limited performance tracking
- No multilingual support hindered customer reach
- Peak hours often overwhelmed the team
Solution: Rootle.ai’s Voice AI Agent
- 24/7 AI voice agents handled inbound & outbound calls.
- Smart, natural conversations replaced outdated IVRs.
- Ready-to-use call flows ensured accurate responses.
- Auto-scaling during peak hours maintained service levels.
- CRM integrations enabled instant query resolution.
- Multilingual support improved communication & reach.
- Analytics offered insights into customer needs.
Implementation Snapshot:
Rootle.ai’s implementation was completed in under 3 days, ensuring a smooth transition with no disruption to ongoing operations.
The team identified key use cases and mapped them to Rootle’s ready-to-use call flows, which were slightly customized to reflect brand tone and escalation paths.
Integration with the company’s CRM and helpdesk allowed the AI agent to access and update customer data in real time.
Multilingual voice models were configured to support regional audiences, while the contact center team was quickly onboarded to use the analytics dashboard.
From launch day, Rootle’s Voice AI began handling customer conversations effectively—without the need for additional infrastructure or staffing.
The Outcome:
