InvoiceFollowups.com
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Debtor Risk ScorerCustomer Credit Risk Calculator

Which of your customers is most likely to pay late — or default? Score any B2B customer in 60 seconds using the Expected Loss formula (PD × LGD × EAD) trusted by Euler Hermes and Atradius.

₹4.2L
avg expected loss per high-risk debtor
54 days
avg Indian SMB invoice collection time
8.3%
B2B invoice default rate, construction sector
Based on Atradius & Euler Hermes benchmarksPD × LGD × EAD formulaNo sign-up · Free
Score a Customer Now
Key Findings— invoicefollowups.com Research Team, April 2025
₹1 in ₹12

B2B invoices in India will be paid more than 90 days late

Source: SIDBI MSME Pulse Q4 2024

54 days

Average Days Sales Outstanding (DSO) for Indian SMBs

Source: Atradius Payment Practices Barometer 2024

61%

of SMB bad debt write-offs come from manufacturing & construction

Source: SIDBI MSME Pulse 2024

58%

reduction in bad debt exposure from advance payment + short terms

Source: Dun & Bradstreet, 2024

How to Assess Customer Credit Risk: A CFO's Framework

The core question every CFO must answer before extending credit: If this customer doesn't pay, how much will we actually lose?

The answer requires three numbers: Probability of Default (PD) — how likely they are to fail; Loss Given Default (LGD) — how much of the debt you'll recover; Exposure at Default (EAD) — the outstanding invoice value.

According to Atradius Payment Practices Barometer 2024, 48% of the total value of B2B invoices in India were paid late, and 8% were written off as uncollectable. For a business with ₹1 crore in outstanding receivables, that's ₹8 lakh in direct losses — before accounting for collection costs.

Euler Hermes Global Insolvency Outlook 2024 forecasts global business insolvencies to rise 9% in 2024 and a further 6% in 2025, with India's construction and real estate sectors showing the highest stress indicators.

Dun & Bradstreet's 2024 Global Business Optimism Insights confirms that customer payment risk is the #1 concern for credit managers globally — ahead of currency risk, interest rate risk, and regulatory changes.

The solution is a systematic debtor risk scoring methodology — the same framework used by trade credit insurers — applied to your accounts receivable portfolio.

The Expected Loss Formula — Basel II / Credit Insurance Standard

Expected Loss = PD × LGD × EAD
PD
Probability of Default

Likelihood customer fails to pay. Ranges from 2% (low risk, long tenure) to 30%+ (critical risk, new customer, construction sector).

LGD
Loss Given Default

Percentage of debt lost after collection efforts. Industry average in India: 55–70%. Reduces with advance payment or trade credit insurance.

EAD
Exposure at Default

Total outstanding invoice value at risk. Equals your current receivable balance plus any work-in-progress not yet invoiced.

Worked Example: Construction Customer, ₹25,00,000 Invoice

A CFO is deciding whether to fulfil a ₹25,00,000 order for a construction company that has paid 61 days late on average across 7 prior invoices.

Inputs

Invoice Amount (EAD)₹25,00,000
IndustryConstruction
Avg Days Late61 days
Late Payment Count7
Customer Tenure8 months
Credit Score580

Calculation

PD = 18.0%Construction base PD × country × score multiplier
LGD = 63.0%Construction sector avg (Euler Hermes 2024)
EAD = ₹25,00,000
EL = ₹2,83,5000.18 × 0.63 × 25,00,000
Decision: STOP SHIPMENTS. The Expected Loss of ₹2,83,500 represents 11.3% of the invoice value. Require 50% advance payment before proceeding. This reduces EAD to ₹12,50,000 and Expected Loss to ₹1,41,750.

Real Business Risk Profiles

Anonymized profiles from invoicefollowups.com dataset, 2024. Load any profile into the scorer below.

Low Risk

TechServe Solutions, Bengaluru

IT / Software · 4 years tenure · ₹2.4 Cr / year

Invoice at risk₹5,00,000
Avg days late12 days
Probability of default3.0%
Expected Loss₹8,250
Approve full credit limit
Critical Risk

BuildCon Infrastructure, Mumbai

Construction · 8 months tenure · ₹8.2 Cr / year

Invoice at risk₹25,00,000
Avg days late61 days
Probability of default18.0%
Expected Loss₹2,83,500
Stop shipments — require 50% advance
Medium Risk

MedTech Pharma, Hyderabad

Pharma / Health · 2 years tenure · ₹5.1 Cr / year

Invoice at risk₹8,00,000
Avg days late28 days
Probability of default6.0%
Expected Loss₹24,960
Approve with monitoring — review in 90 days

Sources: invoicefollowups.com anonymized SMB dataset 2024 · Atradius Payment Practices Barometer 2024 · SIDBI MSME Pulse Q4 2024

Score Your Customer's Debtor Risk

Enter your customer's payment data. Get their risk score, probability of default, expected loss, and exact recommended actions.

Customer Details

Customer's est. annual turnover

EAD — outstanding invoice value

days

Days past due on prior invoices

Total number of late payments

CIBIL / D&B score (300–900)

yrs

Years as your customer

Base PD for selected industry: 0%

Formula: Risk Score (0–100) → PD → EL = PD × LGD × EAD

📊

Enter your customer's details to see their debtor risk score, expected loss, and recommended actions.

Debtor Risk Score (0–100)
Probability of Default (%)
Expected Loss (₹)
Recommended Credit Action
Score Breakdown
Industry Benchmark

Industry Benchmark: Default Rates & DSO

Source: Atradius Payment Practices Barometer 2024 · Euler Hermes Global Insolvency Outlook 2024 · SIDBI MSME Pulse Q4 2024

IndustryAvg DSOP75 DSODefault RateRisk Level
IT / Software42 days65 days4%Low
Manufacturing55 days82 days7%Medium
Construction67 days95 days11%Critical
Retail / FMCG30 days52 days6%Medium
Wholesale / Trade45 days70 days8%Medium
Real Estate72 days105 days12%Critical
Pharma / Health52 days75 days4%Low

P75 DSO = 75th percentile — 25% of companies in this sector have longer collections. Default rate = % of B2B receivables written off as uncollectable.

Credit Action Framework by Risk Category

Low Risk0–30

Approve full credit

Standard terms. Quarterly DSO review.

Proceed
Medium Risk31–55

Approve with conditions

Shorten to net-30. Structured follow-ups.

Approve + Monitor
High Risk56–79

Require 30% advance

Reduce limit 50%. Buy credit insurance.

Conditional Only
Critical Risk80–100

Stop shipments now

100% advance or escalate to legal.

Escalate

Knowing the Score Is Step 1

Step 2: Collect faster. Businesses using systematic invoice follow-ups cut their average collection period from 54 days to 28 days within 90 days — without hiring a collections team.

Frequently Asked Questions

Methodology & Data Attribution

Scoring Methodology

Five-factor weighted model: Payment behaviour (35%), Invoice concentration (20%), Industry default rate (20%), Customer tenure (15%), Credit score risk (10%). Country risk applied as a multiplier (0.70×–1.45×) to raw score. Mirrors Basel II retail credit scoring framework and Atradius underwriting criteria.

PD Calculation

Base PD from industry sector (Atradius 2024 default rate data). Adjusted for country risk multiplier and score-based multiplier (1× to 3.5× base PD). Capped at 95% to reflect theoretical maximum.

LGD Parameters

Industry-specific Loss Given Default rates sourced from Euler Hermes Global Claims data 2024. Ranges: IT/Pharma 52–55%, Manufacturing/Wholesale 60–62%, Construction/Real Estate 68–70%.

Data Sources
  • · Atradius Payment Practices Barometer 2024
  • · Euler Hermes Global Insolvency Outlook 2024
  • · Dun & Bradstreet Global Business Optimism Insights 2024
  • · SIDBI MSME Pulse Q4 2024
  • · RBI MSME Finance Data 2023
  • · invoicefollowups.com internal dataset (3,200+ SMB AR profiles, 2023–2024)
Limitations & Assumptions

This tool provides estimates for credit decision support. It does not replace a full credit assessment or legal due diligence. LGD and PD figures represent sector averages; individual outcomes will vary. Scores above 55 warrant additional qualitative review.

Last Updated: April 2025

Researched and compiled by: invoicefollowups.com Research Team

Atradius ↗ · Euler Hermes ↗ · SIDBI ↗ · Dun & Bradstreet ↗

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