Customer support · Production

Anker Innovations transforms global customer support with Retell AI enterprise voice automation

The problem

Anker's customer support faced rising call volumes and multilingual complexity across global centers, and its existing chatbot and IVR solutions failed to meet standards for natural conversation and first-call resolution.

First attempt

Existing chatbot and IVR solutions had failed to meet the company's standards for natural conversation and first-call resolution.

Workflow diagram · grounded in source
1
Tier-1 inquiry triggers AI agent
trigger
“automate high-volume Tier-1 inquiries such as order tracking, warranty checks, and troubleshooting”
2
AI voice agent handles call
ai_action
“Retell AI, the first enterprise-grade AI voice platform that delivers human-standard voice conversations with <2-second latency and full interruption handling. Retell's voice agents speak naturally, detect emotion, and are indistinguisha…”
3
Speech recognition processing
ai_action
“The agents have minimal latency while achieving 95%+ speech recognition accuracy across English markets”
4
Human-quality response delivered
output
“the AI's tone, pacing, and warmth "basically reached the level of a real human agent."”
Reported outcome

Retell AI voice agents achieved 95%+ speech recognition accuracy across English markets, and Anker's team noted the AI's tone, pacing, and warmth basically reached the level of a real human agent.

Reported metrics
Speech recognition accuracy95%+
Response latency<2-second
AI voice qualitybasically reached the level of a real human agent
Reported stack
Retell AI
Source
https://www.retellai.com/case-study/how-anker-transformed-global-customer-support-with-human-quality-al-voice
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Retell AI voice agents achieved 95%+ speech recognition accuracy across English markets, and Anker's team noted the AI's tone, pacing, and warmth basically reached the level of a real human agent.

What tools did this team use?

Retell AI.

What results were reported?

Speech recognition accuracy: 95%+; Response latency: <2-second; AI voice quality: basically reached the level of a real human agent (source-reported, not independently verified).

What failed first in this deployment?

Existing chatbot and IVR solutions had failed to meet the company's standards for natural conversation and first-call resolution.

How is this customer support AI workflow structured?

Tier-1 inquiry triggers AI agent → AI voice agent handles call → Speech recognition processing → Human-quality response delivered.

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