1 hr ago
Blue Machines AI lifts Muthoot Finance gold-loan branch visits
Muthoot Finance is using an AI system made by Blue Machines AI to help people ask about gold loans.
The AI talks with customers and collects information about their loan needs.
It also asks about the gold they may use as collateral and where they live.
Then it guides suitable customers to the nearest Muthoot Finance branch.
The companies say branch-visit conversions increased by 150% after the system was introduced.
The system contacted 1.39 million leads and connected with 63.1% of customers.
Customer journeys now take about two minutes instead of more than seven minutes.
The companies are considering using the technology for more customer-service tasks.
Muthoot Finance reported a 150% increase in branch-visit conversions after deploying Blue Machines AI.
The conversational AI engaged 1.39 million leads and achieved a 63.1% customer connectivity rate.
Average customer journey completion time fell from more than seven minutes to about two minutes.
Geographic coverage expanded from approximately 5,000 to more than 19,000 PIN codes across India.
The AI qualifies gold-loan inquiries, collects customer details, and directs eligible prospects to nearby branches.
- Who
- Muthoot Finance and Blue Machines AI, part of the Apna Group.
- What
- A conversational AI system was deployed to engage and qualify gold-loan leads and direct prospects to branches.
- Where
- Across India, with coverage expanding to more than 19,000 PIN codes.
- When
- The initiative was published on September 10, 2026; the platform went live within three weeks of its proof-of-concept.
- Why
- To improve customer engagement, qualify digital inquiries, and increase branch visits for gold-loan prospects.
Key facts
- Reported branch-visit conversion increase
- 150%
- Leads engaged
- 1.39 million
- Customer connectivity rate
- 63.1%
- Average journey time
- Reduced from over seven minutes to roughly two minutes
- Geographic coverage
- Expanded from around 5,000 to more than 19,000 PIN codes
- Platform launch timeline
- Went live within three weeks of proof-of-concept
- Reported future branch-visit scale
- On track to increase approximately 36 times from prior levels
Sources
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