Logistics calls are time-sensitive �� late deliveries, damaged packages, and missing shipments need fast resolution. AI categorizes issues and scores agent handling for continuous improvement.
Auto
Issue Categorization
Regional
Satisfaction Tracking
SLA
Monitoring
Real results from businesses using AI voice automation
Results seen within 30 days
Auto-categorize calls by issue — late delivery, missing package, wrong address, damaged goods, refused delivery.
Track volume and patterns of ETA inquiries. Identify routes, carriers, or regions with frequent delays.
Monitor how agents handle damage claims. Ensure proper documentation, photo requests, and resolution timelines.
Track customer satisfaction scores by region, route, and carrier. Identify geographic problem areas.
Analyze calls involving driver coordination. Identify communication gaps between dispatch, drivers, and customers.
Flag customers calling about the same issue multiple times. Identify systemic resolution failures.
Upload customer service recordings daily or connect via API for real-time ingestion.
Every call categorized by issue type, agent quality scored, and satisfaction signals tracked.
View issue trends, regional satisfaction, agent performance, and SLA compliance in real-time.
Address systemic issues, train agents on common problems, and optimize delivery routes.
Analyze calls in 50+ languages with native accuracy
Native Sarvam AI transcription for 528M+ speakers
Native support for 228M+ speakers
Native support for 83M+ speakers
Native support for 75M+ speakers
International support for 559M+ speakers
International support for 310M+ speakers
International support for 920M+ speakers
International support for 280M+ speakers
AI-powered support for 125M+ speakers
AI-powered support for 77M+ speakers
AI-powered support for 199M+ speakers
AI-powered support for 258M+ speakers
Yes. AI extracts issue context from conversations. Configure categories for carrier delays, warehouse errors, last-mile issues, and customer-caused problems.
AI scores calls against SLA criteria you define — response time, resolution time, and issue handling quality. Dashboard shows SLA compliance trends.
Yes. The batch processing pipeline handles high volumes during peak seasons without degradation in analysis quality or speed.
Start analyzing 100% of your calls with AI. No manual QA sampling, no inconsistent scoring, no missed insights.