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Lending Is Scaling Fast. Recovery Economics Aren’t Keeping Up

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​India’s small-ticket lending market is expanding rapidly.

Recent coverage by The Economic Times indicates that NBFCs now lead consumer durable financing, with originations increasing 41% year over year. This suggests strong growth momentum.

However, this growth raises a more challenging question:

 

Can recovery operations keep pace without eroding margins?

In small-ticket lending, recovery is not only about collecting dues but also about ensuring the cost of collection remains financially viable.

 

When Growth Starts Pressuring Profitability

Consider a simplified example:

If a lender provides ₹10,000 and spends ₹1,000 to ₹1,500 on recovery, margins decrease significantly. Across thousands of accounts, recovery becomes a unit economics challenge rather than solely an operational issue.

As originations rise, so do:

With smaller ticket sizes, even minor inefficiencies can become costly.

This is where traditional recovery models begin to face challenges.

 

Why Manual-Heavy Recovery Doesn’t Scale

Most recovery teams were built around agents, people calling customers, following scripts, and escalating cases manually. That model works at moderate volumes.

However, as portfolios expand rapidly, this model becomes less effective due to:

Under the oversight of the Reserve Bank of India, the regulated entity remains accountable even when recovery is outsourced. Therefore, scaling through agencies alone does not eliminate risk.

The challenge is evident:

How can recovery be scaled without increasing cost and risk at the same rate?

 

A Smarter Approach: Stage-Based Recovery

Leading NBFCs are adopting structured workflows rather than beginning with agent involvement.

Recovery should be viewed as a process rather than a single action.

 

1–30 Days: Supportive Engagement

In the early stages of delinquency, most borrowers require only a reminder.

SMS and WhatsApp nudges

Email notifications

AI voice reminders with payment links

In-app prompts

These methods are low-cost, respectful, and often effective in resolving early-stage dues.

 

31–60 Days: Assertive Follow-ups

If the borrower does not respond, recovery efforts become more direct.

Rather than contacting all borrowers, recovery teams focus on:

Accounts with higher default probability

Borrowers with an inconsistent repayment history

Conversations around credit score impact and repayment plans

This approach helps prioritize agent time and maintains momentum toward repayment.

 

61–90 Days: High-Risk Escalation

At this stage, accounts require stronger intervention.

Legally vetted demand notices

Mandatory field visits were required

Closer monitoring of repayment commitments

The objective is to resolve the account before it becomes a non-performing asset (NPA).

 

>90 Days: Hard Recovery

After accounts exceed 90 days past due, recovery shifts to formal resolution.

Legal settlement discussions

SARFAESI initiation, where applicable

Recovery suits if necessary

The principle is straightforward:

Automation should manage high volumes, while personnel address complex cases.

 

Turning Recovery Into a Controlled System

As portfolios grow, recovery operations must become proactive rather than reactive.

It needs:

Platforms such as Simpleworks enable lenders to implement this structured approach by integrating workflow automation, AI-driven prioritization, compliant dialer controls, omnichannel engagement, and centralized monitoring within a unified system.

This approach delivers practical and measurable outcomes:

Rather than increasing headcount to manage growth, recovery becomes system-driven and scalable.

 

Connect With Simpleworks

If you are reassessing how your recovery operations will scale with portfolio growth, it may be time to transition from manual expansion to structured automation.

You can learn how Simpleworks enables intelligent, compliant, and cost-efficient collections at:

👉 www.simple.works

As lending volumes continue to rise, the true differentiator will be recovery efficiency rather than lending volume.