Zigment
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Case Study
Trust & security
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Automotive

20 countries. Dozens of languages. One unbroken thread.

Every enquiry qualified in the buyer's language, then handed to the nearest outlet with the whole conversation attached.

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Bajaj Auto brand artworkBajaj Auto

Bajaj Auto

45%

lower cost per qualified lead

2X

qualified lead volume

20+

countries, one conversation layer

Bajaj Auto is one of the world's largest makers of motorcycles and three-wheelers, selling across 20+ countries. Demand runs on paid social and web, in dozens of languages, with every enquiry needing to be qualified and routed to the right local outlet. At that scale, the conversation has to run in every market at once, or it barely runs at all.

The demand scaled. The conversation didn't.

A buyer at a Bajaj outlet

01

The context died at the border.

A buyer qualified themselves on WhatsApp, then got handed to an outlet that knew none of it. So they started over. Every restart, a leak.

02

One team can't speak 20 markets.

03

Spend climbed. Qualified volume flatlined.

One agent. Picks up the thread wherever it starts, in whatever language it's spoken.

Bajaj deployed a Zigment agent across WhatsApp, Instagram, Facebook and web. It catches the enquiry on any channel, qualifies in the buyer's language, and hands the nearest outlet a warm prospect with the full conversation attached.

Omnichannel Agents

Picks up anywhere

any channel, no dead ends.

Omnichannel Agents

Speaks their language

qualifies in 20+ languages by default.

Conversational Intelligence

Reads real intent

surfaces the prospects worth an outlet's time.

Workflow Orchestration

Carries the thread

routes with the full conversation attached.

Workflow Orchestration

Outlives the sale

NPS orchestrated in every market.

Workflow Orchestration

Writes back to your CRM

Enriched, structured data into your system of record. Not a notification.

Before Zigment ยท After Zigment

Before, leads were qualified by hand and handed off naked. After, every enquiry arrives as one continuous, context-rich thread.

USE CASE

The paid lead

Before Zigment

Sat in the CRM, uncalled

With Zigment

Qualified the second it lands

USE CASE

The social comment

Before Zigment

Answered hours later

With Zigment

Auto-DM'd while intent is hot

USE CASE

The website question

Before Zigment

Tied up a rep

With Zigment

Handled instantly by the AI agent

USE CASE

The customer's history

Before Zigment

Scattered across four tools

With Zigment

One unbroken context-rich timeline

What happens when the thread doesn't break.

45%

lower cost per qualified lead. Qualifying ran before a human stepped in, so spend stopped burning on manual work.

2X

qualified lead volume. Same spend, twice the qualified pipeline reaching outlets.

20+

countries, one layer. The conversation finally ran at the scale of the footprint.

NPS in every market. The relationship outlived the sale instead of dying in a spreadsheet.

Takeaways

01

Qualify at the source, in the buyer's language. That's what drops cost and lifts volume on the same spend.

02

The handoff is where the deal is won or lost. Carry the whole conversation or the buyer starts over.

03

Scale is a channel-and-language problem, not a headcount one. One agent beats a team per market.

  • Automotive
  • Convert and Qualify
  • Omnichannel Agents
  • Conversational Intelligence
  • Workflow Orchestration

See what one unbroken thread does for your network.

A live demo on your own funnel. Your channels, your languages, your CRM.

A rider with a Bajaj motorcycle