MSME Value Chain & Smarter Lending

At Bharat Fintech Summit, Shashank Shekhar delivered a powerful message that challenges the traditional approach to MSME financing:

MSMEs should not be assessed in isolation. They must be understood within the value chain they operate in.
As India’s lending ecosystem evolves, this shift in perspective could redefine how banks, NBFCs, and fintechs unlock the next phase of MSME growth.

India has over 7 crore MSMEs, with nearly 4 crore classified as micro enterprises. They operate across manufacturing, trade, services, agriculture, healthcare, textiles, electronics, and education.

Yet, despite their scale and economic contribution:

A large percentage still depend on informal sources of credit
Working capital gaps remain significant
Formal underwriting often fails to capture their true business potential

The issue is not just lack of capital, it is lack of contextual understanding.

Traditional credit models rely heavily on:

Financial statements
Bank statements
Collateral
Static financial ratios

But MSMEs don’t operate like large corporations. Their financial behavior is deeply tied to industry cycles, seasonality, anchor relationships, and supply chain dynamics.

An MSME is rarely a standalone entity. It is a link in a larger economic chain:

Supplier → Manufacturer → Distributor → Retailer → Consumer

Credit disruption at any point impacts the entire chain.

Consider a food processing MSME:

Raw materials are procured seasonally
Production may span several months
Sales realization may happen much later

This creates a long working capital cycle. If lenders assess only static cash flows, they misjudge both risk and potential.

Understanding the value chain answers critical questions:

Who are the anchors?
What is the payment cycle?
Where does cash get blocked?

What is the industry-specific margin structure?

Industry-Specific Realities Matter
Not all MSMEs behave the same way.

Agriculture & Food Processing
Strong seasonality. Long inventory cycles. Cash inflow concentrated in specific months.

Textile & Apparel
Extended manufacturing cycles. 90–120 day receivable periods. Demand linked to seasonal trends.

Electronics
High-value inventory. Rapid model obsolescence. Fast turnover required to avoid losses.

Healthcare
High operational costs. Equipment-heavy operations. Continuous service expenditure.

Training & Education
Enrollment-based revenue. Installment collections. Seasonal peaks around admission cycles.

A 6–8% margin in pharmaceuticals may be healthy.
The same margin in a services business could signal weakness.
Segment intelligence is non-negotiable.

Shashank outlined a framework built on three core lenses:

1. Visibility

Understand the MSME’s ecosystem:

Anchor relationships
Purchase order patterns
Historical business continuity

If a manufacturer consistently supplies to a strong anchor, risk perception changes significantly.

2. Validation

Go beyond bank statements.

Leverage alternate and digital data such as:

GST filings
E-invoicing records
POS transactions
Payment gateway settlements
Utility bill consumption
ERP system data
Salary payment patterns

When multiple signals align, underwriting becomes more robust and less assumption-driven.

3. Predictability

Past value-chain participation creates forward visibility.

If an MSME has:

Stable order flows
Consistent GST-reported revenues
Industry-aligned inventory patterns

Then future cash flow becomes more predictable even if traditional balance sheets appear thin.

The product itself cash credit, overdraft, term loan may not need reinvention.

But the structuring must evolve.

Smarter lending models can include:

Input financing aligned to procurement cycles
Production-stage working capital support
Invoice-backed financing
Anchor-led supply chain programs
Collection-at-source models through POS or gateways
ERP-integrated credit monitoring

This is not just about lending faster. It is about lending intelligently.

Regulated entities are uniquely positioned to drive this transformation.

By combining:

Segment-specific underwriting frameworks
Value chain mapping
Digital integrations
Alternate data analytics

Lenders can reduce risk while expanding access. The shift required is philosophical as much as technological.

Instead of asking:
“Does this MSME have enough collateral?”

We must ask:
“How strong is the ecosystem this MSME participates in?

India’s MSME sector is too large and too critical to be evaluated using uniform templates.

The future of MSME credit lies in:

Ecosystem-based underwriting
Sector-driven intelligence
Embedded digital data flows
Value chain financing

As highlighted at Bharat Fintech Summit 2026, smarter lending is not about increasing exposure.

It is about increasing understanding. Because when lenders understand the value chain, credit stops being a constraint – and starts becoming an accelerator.