Credit Policy Design and Customer Assessment

Learning objectives

By the end of this chapter, you should be able to:

• Explain why a business uses a credit policy and how it balances sales growth with protection of liquidity.
• Evaluate customer credit risk using internal trading data and external evidence to support a consistent decision.
• Set credit limits and payment terms that reflect expected exposure, risk level, and contribution margin.
• Use simple credit scoring approaches to improve objectivity and comparability across customers.
• Document and communicate credit decisions clearly to support control, audit trail, and compliance.
• Link credit decisions to working capital performance measures and the cash conversion cycle.

Overview & key concepts

Selling on credit can increase sales by removing the need for immediate payment, but it also delays cash inflows and increases the chance of late payment or non-payment. A credit policy sets the rules for who receives credit, how much they can receive, on what terms, and how the business monitors and collects amounts due.

Credit decisions sit at the intersection of profitability and liquidity. More generous terms may raise revenue, but they also increase trade receivables, slow cash conversion, and can increase expected credit losses. A strong policy therefore acts as a control system: it defines entry checks, exposure limits, pricing/terms controls, monitoring, and enforcement.

Key terms

Credit policy

A documented framework that governs how credit is granted, controlled, and collected. It typically covers eligibility checks, standard terms, credit limits, approval levels, monitoring, and actions for overdue accounts.

Credit limit

The maximum outstanding balance the customer is permitted to owe at any point in time. The limit caps exposure and protects liquidity.

Credit terms

The agreed payment conditions (for example, due date, early settlement discount, interest on late payment, deposits, staged payments, or cash on delivery for certain orders). Terms influence the timing of cash receipts and the likely level of receivables.

A practical note: late payment interest may be included in terms but can be difficult to enforce in practice and may damage customer relationships, so many businesses rely more on credit holds, reminders, and structured escalation.

Trade credit

Supplying goods or services now and collecting payment later under agreed terms.

Creditworthiness

An assessment of whether the customer is likely to pay in full and on time, based on both capacity to pay and willingness to pay.

Risk appetite

The level of credit risk the business is prepared to accept in pursuit of its objectives.

Credit scoring

A structured method of combining indicators into a score (or rating band) to support consistent decisions. It improves comparability but does not replace judgement.

Concentration risk

Risk created when a large proportion of sales or receivables relates to a small number of customers.

Security

Risk-reducing measures such as deposits, guarantees, staged payments, or retention of title clauses (enforceability varies by jurisdiction and contract terms).

Approval authority

Defined responsibilities and thresholds for approving new accounts, limits, and exceptions to standard credit terms.

How this is examined

Common assessment styles include:

• Discuss / evaluatethe effect of tightening or loosening credit terms (profitability vs liquidity).
• Recommenda credit limit and terms using exposure calculations, risk assessment, and practical controls.
• Explainhow decisions affect working capital measures (receivables days/DSO, cash conversion cycle) and expected credit losses.
• Identify controlsthat reduce loss risk (approval thresholds, monitoring, escalation, documentation, segregation of duties).

Working capital formulas

DSO (receivables days) ≈ (Trade receivables / Credit sales) × 365

Cash conversion cycle (CCC) = Inventory days + Receivables days − Payables days

Core theory and frameworks

Credit policy as a control system

A practical credit policy can be viewed as five linked controls that work together:

1. Entry (who qualifies for credit?)
2. Define onboarding checks for new customers: identity, legal entity validation, credit references, and minimum evidence standards.
3. Exposure (how much risk is acceptable?)
4. Set how limits are calculated, how concentration risk is controlled, and when security is required.
5. Terms and commercial discipline (how and when is cash collected?)
6. Specify standard terms and permitted variations. Define when deposits, staged payments, or cash-on-delivery are required.
7. Monitoring (how is deterioration detected early?)
8. Set how ageing reports are reviewed, which triggers require action (overdue balances, rising disputes, sudden sales growth), and how frequently reviews occur.
9. Enforcement (what happens when rules are breached?)
10. Define order holds, escalation routes, exception approvals, and collection actions. Without enforcement, limits and terms become advisory rather than controls.

Assessing customer credit risk

A robust assessment combines evidence about the customer and the planned trading pattern.

Evidence about the customer

• Legitimacy and identity: correct legal name, registration, address, VAT status, and whether the entity is trading actively.
• Capacity to pay: liquidity, leverage, profitability, and cash generation (where information is available).
• Willingness to pay: external payment behaviour indicators; internal payment history once trading starts.
• Sector and event risks: customer industry conditions, reliance on a small number of contracts, and adverse developments.

Evidence about the trading pattern

• Expected order size and frequency.
• Whether deliveries are steady or “lumpy”.
• Gross margin and after-credit-cost contribution (including administration, disputes, and expected losses).
• Ability to stop supply quickly if balances exceed limits.

The output should translate directly into limits, terms, and controls (not merely “approve/decline”).

Setting credit limits

A starting point is to estimate the receivable balance that could arise if the customer pays in line with the agreed terms. This is often called “exposure”.

Base exposure = Expected monthly credit sales × (Credit days ÷ 30)

This method assumes broadly stable monthly sales and a smooth build-up of receivables. It is therefore an approximation and should be stress-tested for peak months, seasonal demand, and unusually large orders.

Exposure should then be adjusted for risk and relationship maturity.

Adjusted limit = Base exposure × Risk multiplier

Risk multipliers are illustrative only and should be calibrated by the business using experience (historic bad debt rates, sector risk, and the strength of collections and enforcement). Illustrative policy multipliers might include:

• Higher risk / new relationship: 0.6
• Medium risk / limited history: 0.8
• Lower risk / proven payer: 1.0 (or higher only where strongly justified and within concentration caps)

Finally, apply policy caps (for example, maximum exposure per customer, and limits to prevent excessive concentration in receivables).

Credit scoring

Credit scoring is useful where many accounts are assessed and decision consistency matters. A scorecard typically blends:

• external credit indicators
• customer financial strength signals (where available)
• trading behaviour (once internal history exists)
• dispute frequency and order volatility
• concentration impact

Scores should map to decision bands such as “approve”, “approve with controls”, “refer”, and “decline”. The score supports judgement; it does not replace it, particularly where information is incomplete or where a single risk factor dominates.

Documentation and communication

Credit decisions must be traceable and understood by both finance and sales.

Records should typically include:

• customer onboarding evidence reviewed
• exposure calculation and key assumptions
• approved limit, terms, and any security requirements
• approval level, approver, and decision date
• review date and triggers for early review

Communication should be unambiguous:

• to sales: the approved limit, terms, and order-handling rules (including stop actions)
• to the customer: written confirmation of terms and the review pathway for limit/term increases

Monitoring and review

Monitoring typically uses:

• receivables ageing reports
• receivables days/DSO trends
• dispute logs and credit note patterns
• limit utilisation (percentage used)
• repeat term breaches and extension requests

Review frequency should reflect risk and exposure:

• high-risk or high-exposure customers: more frequent review
• stable, low-risk customers: periodic review

Ethics and control considerations

Credit management is vulnerable to bias and override. Strong controls typically include:

• segregation of duties (sales cannot approve credit limits)
• documented approval thresholds with evidence requirements
• restricted ability to change customer master data (terms, limits)
• monitoring of overrides and repeated exceptions
• consistent treatment of customers to reduce conflicted decision-making

Exam-style checklist

When evaluating a credit decision, check:

• effect on receivables days/DSO and the cash conversion cycle
• whether contribution margin covers financing/administration costs and expected losses
• concentration risk and whether caps or security are needed
• whether controls are enforceable (ability to stop supply, escalation routes, dispute handling)

Accounting impact of credit policy decisions

Credit policy affects working capital and can affect profit through expected credit losses. The entries below illustrate typical effects of credit transactions.

Sale on credit (goods or services supplied)

• Debit Trade receivables
• Credit Revenue

If goods are sold and inventory accounting applies:

• Debit Cost of sales
• Credit Inventory

Receipt of cash from a customer

• Debit Bank (cash)
• Credit Trade receivables

Early settlement discount (if offered and taken)

When a customer pays within the discount period, the entity receives less cash than the invoice face value. In many cases, the discount is treated as a reduction of revenue (or the transaction price) rather than a separate expense. Whichever presentation is used, it should be applied consistently and disclosed where material.

• Debit Bank (cash)
• Debit Sales discounts / Contra-revenue (discount allowed)
• Credit Trade receivables

Expected credit losses (loss allowance on receivables)

Trade receivables are presented at an amount the entity expects to collect. Because some customers will not pay in full, many entities record a loss allowance that reflects expected (not merely incurred) credit losses, using reasonable information about customer behaviour and current and future conditions.

In practice, many entities estimate expected losses on trade receivables using a provision matrix: historic loss rates are calculated for ageing categories (for example, current, 30 days overdue, 60 days overdue) and then adjusted where current conditions or forward-looking information suggests those rates are likely to change. For trade receivables, entities often apply a simplified approach by recognising expected losses over the life of the receivable.

Illustrative entry (to recognise or adjust the allowance):

• Debit Impairment loss (ECL expense)
• Credit Loss allowance (contra receivable)

Write-off of an irrecoverable balance (against an existing allowance)

• Debit Loss allowance
• Credit Trade receivables

Worked example

Narrative scenario

Alpha Interiors is a new customer requesting a credit limit of £29,000 with 45-day terms. Expected monthly credit sales are £24,000. External information indicates average risk, including evidence of occasional late payments with other suppliers. There is no internal payment history because this would be the first period of trading.

The company’s policy for new customers requires external checks and applies conservative limits until payment behaviour is demonstrated. The policy requires a formal review after three months of on-time payments.

Required

1. Calculate the base exposure using the requested 45-day terms.
2. Determine an appropriate credit limit using a risk multiplier suitable for a new, medium-risk customer.
3. Decide the credit terms to offer.
4. Document the decision and rationale.
5. Communicate the decision to the sales team and the customer.

Solution

1) Base exposure (using requested terms)

Base exposure = Expected monthly sales × (Credit days ÷ 30)

Base exposure = £24,000 × (45 ÷ 30) = £36,000

This is an approximation based on steady monthly sales. It should be checked against expected order patterns, peak months, and any large one-off orders.

2) Credit limit (risk-adjusted, based on offered terms)

Risk multipliers are illustrative only and represent policy calibration. They should be set using experience (historic bad debt rates, sector risk, and the strength of collections and enforcement). Illustrative multipliers might be 0.6 (higher risk/new), 0.8 (medium risk/limited history), and 1.0 (lower risk/proven payer).

Because the business intends to offer 30-day terms initially (step 3), the exposure should be calculated using 30 days and then adjusted for risk.

Base exposure at 30 days = £24,000 × (30 ÷ 30) = £24,000

Using a conservative multiplier for a new, medium-risk customer of 0.8:

Suggested limit = £24,000 × 0.8 = £19,200

A practical rounded limit is £20,000.

This is below the customer’s requested £29,000 because (i) the customer is new, (ii) external evidence suggests occasional late payment, and (iii) there is no internal payment behaviour to support a higher initial exposure.

Evidence that might justify a higher multiplier later includes a clean three-month payment record, reduced dispute levels, improved external indicators, and stable order patterns that do not create lumpy exposure.

3) Credit terms to offer

Offer 30-day terms initially, with clear controls:

• enforce the £20,000 limit strictly
• require finance approval or part payment for orders that would exceed the limit
• review after three months of on-time payments (and earlier if invoices become overdue)
• consider staged payments or a deposit if order sizes increase quickly

4) Documentation (what to record)

Record:

• external evidence reviewed and key findings
• exposure calculations (requested 45 days and offered 30 days)
• approved limit (£20,000) and terms (30 days)
• rationale: new customer, medium risk, protect liquidity, build internal payment history before expanding exposure
• approval level, approver, and decision date
• review date and triggers (any overdue balance, disputes, rapid sales growth, or adverse external update)

5) Communication (sales team and customer)

Sales team message:

• approved credit limit: £20,000
• terms: 30 days from invoice date
• order rule: do not accept orders that breach the limit without finance clearance or part payment
• review condition: reassess after three months of on-time payments

Customer communication:

• confirm the approved terms and limit in writing
• explain the review pathway to increase limits/terms following reliable payment behaviour
• provide the process for requesting an exception for a specific order (for example, part payment on order)

Interpretation of the results

The customer’s 45-day request implies an exposure around £36,000, which is high for a new relationship with only average external indicators. Offering 30-day terms and setting a £20,000 limit supports sales while controlling liquidity risk and allowing the business to build internal evidence of payment behaviour. The decision is strengthened by enforceable operational controls and a clear review pathway.

Common pitfalls and misunderstandings

• Confusingcredit limit(maximum balance allowed) withcredit terms(time and conditions for payment).
• Using requested terms to set a limit, then offering shorter terms without recalculating exposure.
• Treating exposure calculations as exact rather than an approximation (failing to stress-test peak months or lumpy orders).
• Ignoring concentration risk when granting a large limit to a single customer.
• Over-relying on credit scoring and ignoring clear warning signs or missing information.
• Allowing repeated exceptions without escalation, which weakens the policy.
• Weak documentation that prevents consistent decisions and effective review.
• Poor communication with sales, leading to limit breaches and uncontrolled exposure.
• Misreading discount terms and overstating how quickly cash will be collected.

Summary and further reading

A credit policy translates risk appetite into practical rules for granting credit, setting limits, and collecting cash. Credit decisions must weigh profit against liquidity: generous credit can increase sales but typically increases receivables, slows cash conversion, and can raise expected losses.

Customer assessment should combine external evidence and internal trading behaviour (once available). Limits should reflect expected exposure under the terms offered, adjusted for risk and constrained by concentration caps. Strong documentation, clear communication, and disciplined monitoring are essential to ensure the policy works in practice.

Further study should focus on working capital metrics (especially receivables days/DSO and the cash conversion cycle), receivables ageing interpretation, and expected loss estimation methods used for trade receivables.

FAQ

What is the main purpose of a credit policy?

To support profitable sales while controlling exposure and protecting liquidity through consistent rules on eligibility, limits, terms, monitoring, and enforcement.

How should customer creditworthiness be assessed?

Combine external evidence (credit indicators, available financial signals, sector conditions) with internal evidence once trading starts (payment punctuality, disputes, order behaviour). The assessment should drive both the limit and the terms.

What drives the credit limit calculation?

Expected credit sales volume and the time to collect payment determine base exposure. That exposure is then adjusted for risk and constrained by policy caps and concentration limits.

Why use credit scoring?

To improve decision consistency and comparability across customers, especially where many accounts are assessed. Scoring supports judgement rather than replacing it.

How do credit decisions affect working capital performance?

More generous terms usually increase receivables days/DSO and lengthen the cash conversion cycle. Tighter terms can improve liquidity but may reduce sales unless managed carefully.

Why is documentation essential?

It creates an audit trail, improves consistency, supports monitoring and review, and reduces the risk of limit overrides or misunderstandings between finance, sales, and customers.