Lead processing · Production

TVS Motor Company deploys multimodal AI agents with ElevenLabs, achieving 35% lead capture lift and 80% reduction in feedback turnaround

The problem

TVS Motor Company relied on static web forms and CTAs for customer engagement and had no AI agents deployed, limiting lead capture and post-sales feedback collection across its global markets.

Workflow diagram · grounded in source
1
Web visit or outbound call trigger
Trigger
Customers interact via a multimodal widget on TVS websites, or receive outbound Voice AI calls for post-sales feedback.
▾ source quote
“TVS replaced static web forms with Shop AI agents that now handle product discovery and lead capture autonomously through a multimodal widget that combines voice and text on their websites. Post-sales interactions, such as NPS and feedback collection, are handled …”
2
Shop AI pre-sales engagement
Ai action
Shop AI agents handle product discovery and lead capture autonomously through a multimodal widget combining voice and text.
▾ source quote
“Shop AI agents that now handle product discovery and lead capture autonomously through a multimodal widget that combines voice and text on their websites”
3
Voice AI post-sales NPS calls
Ai action
Voice AI agents conduct NPS calls and collect customer feedback with localized voice personas.
▾ source quote
“TVS deployed Voice AI agents to conduct NPS calls and collect customer feedback. By localizing voice personas across Latin America, ASEAN, Middle East, and Africa, and fine-tuning tone per use case – empathetic for support, energetic for sales”
4
Agents API website integration
Integration
TVS leverages the Agents API, integrating conversational AI directly into their websites.
▾ source quote
“TVS primarily leverages the Agents API, integrating conversational AI directly into their websites”
Reported outcome

TVS achieved a 35% lift in lead capture, an 80% reduction in customer feedback turnaround times, and a cost per feedback reduction of more than 35%, scaling from zero to 25+ countries with fully localized automation.

Reported metrics
Lead capture lift35%
Customer feedback turnaround time reduction80%
Cost per feedback reductionmore than 35%
lead capture rate vs traditional CTAs35%
Show all 8 reported metrics
lead capture lift35%
customer feedback turnaround time reduction80%
cost per feedback reductionmore than 35%
lead capture rate vs traditional CTAs35%
countries deployed25+
languages supportednine
integration timeunder a week
cost savingssignificant cost savings
Reported stack
ElevenLabsAgents APITwilioPlivo
◆ Does this fit your context?

Compare to your context

Tell us your scale, team, and constraints. We'll show what changes at your size, what fails at your scale, and whether this case is a fit, needs adaptation, or won't scale to you. Free demo, no signup.

Compare to your context →
~30 seconds · free
Source
https://elevenlabs.io/blog/tvs-motor-multimodal-agents
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

TVS achieved a 35% lift in lead capture, an 80% reduction in customer feedback turnaround times, and a cost per feedback reduction of more than 35%, scaling from zero to 25+ countries with fully localized automation.

What tools did this team use?

ElevenLabs, Agents API, Twilio, Plivo.

What results were reported?

Lead capture lift: 35%; Customer feedback turnaround time reduction: 80%; Cost per feedback reduction: more than 35%; lead capture rate vs traditional CTAs: 35% (source-reported, not independently verified).

How is this lead processing AI workflow structured?

Web visit or outbound call trigger → Shop AI pre-sales engagement → Voice AI post-sales NPS calls → Agents API website integration.

Related lead processing cases

WHAT TO DO WITH THIS

Now compare it to your context

This case is one data point. Whether its pattern fits you depends on your volumes, your stack, and your exception load — that comparison is the step no case study can do for you.

Browse the Lead processing cases →