Customer support · Production

Meesho delivers real-time multilingual customer support at scale with ElevenLabs voice agents

The problem

Meesho needed to deliver empathetic, human-like customer support at scale across multiple languages and use cases for its large and diverse user base.

Workflow diagram · grounded in source
1
Customer initiates support call
trigger
“This bot now handles high-volume queries about order and delivery statuses like delays, cancellations, etc. – all in natural, spoken conversation”
2
Voice agent processes query
ai_action
“They built a real-time voice agent using ElevenLabs Text to Speech to automate customer support in both Hindi and English. This bot now handles high-volume queries about order and delivery statuses like delays, cancellations, etc. – all …”
3
Autonomous resolution without handoff
output
“It resolves a high volume of queries without human intervention – covering order delays, cancellations, and refunds – while reducing average handling time”
Reported outcome

The voice bot handles over 60,000 customer calls daily in Hindi and English, resolves a high volume of queries without human intervention covering order delays, cancellations, and refunds, and reduces average handling time.

Reported metrics
Customer calls handled dailyover 60,000
Average handling timereducing average handling time
User engagementhigher user engagement
User feedbackoverwhelmingly positive feedback
Show all 5 reported metrics
customer calls handled dailyover 60,000
average handling timereducing average handling time
user engagementhigher user engagement
user feedbackoverwhelmingly positive feedback
resolution accuracyhigh accuracy
Reported stack
ElevenLabs Text to SpeechElevenLabs Conversational AI
Source
https://elevenlabs.io/blog/meesho
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

The voice bot handles over 60,000 customer calls daily in Hindi and English, resolves a high volume of queries without human intervention covering order delays, cancellations, and refunds, and reduces average handling…

What tools did this team use?

ElevenLabs Text to Speech, ElevenLabs Conversational AI.

What results were reported?

Customer calls handled daily: over 60,000; Average handling time: reducing average handling time; User engagement: higher user engagement; User feedback: overwhelmingly positive feedback (source-reported, not independently verified).

How is this customer support AI workflow structured?

Customer initiates support call → Voice agent processes query → Autonomous resolution without handoff.

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