Underwrite the merchant business
Understand what is sold, when it is delivered, and who absorbs a failure.
A concert promoter collects cash today for a show six months away. A coffee shop collects cash for a drink handed over now. Both accept cards. Their risk can be very different because the promise stays open for very different lengths of time.
Start with the economic promise
Merchant underwriting evaluates the business and the exposure created by processing for it. Identify the product, customer, delivery timing, refund promise, and payment flow. A business registration proves that an entity exists; it does not prove the entity can fulfill its promises.
Write the model in one sentence: this merchant collects this amount from these customers for this service at this time. Then test the sentence against the website, contracts, financial records, and transaction plan. If the explanation changes across documents, resolve the discrepancy before deciding which controls are suitable.
A merchant application often describes a product category. Underwriting needs the actual promise made to customers. A business that sells a book for immediate shipment has a different exposure timeline from one that sells a course beginning in six months. Both may have the same monthly payment volume, but the second holds more unfulfilled obligations at a given moment.
Lantern therefore maps order creation, customer payment, fulfillment, refund rights, and merchant payout on one timeline. The distance between collecting money and delivering value is a source of exposure. The analysis then asks what resources remain if the merchant stops trading during that interval. Revenue growth can make the business look stronger while increasing the amount the platform may need to return to customers.
- OfferIdentify the promised product
- DeliveryLocate when the obligation is met
- FailureIdentify refund and loss exposure
- Entity existence
- Business is registered
- Operating viability
- Business can fulfill its promises
Promoter business model
Illustrative data; not a real customer record or a prescribed policy.
- Saleconcert ticket
Customer buys future access
- Deliverysix months later
Long open obligation
- Failurerefund demand
Potential correlated exposure
Registration alone cannot establish fulfillment ability
Underwrite the operating promise. Registration alone cannot establish fulfillment ability.
- Failure mode 1avoid
- Approve from the certificate only. It does not show the business model.
- Failure mode 2avoid
- Treat all card merchants alike. Delivery and liability differ.
- Failure mode 3avoid
- Ignore refund terms. They shape the open obligation.
Map the payment and liability chain
Determine who is merchant of record, who receives settlement, who pays suppliers, and who bears refunds and chargebacks. A marketplace can present one brand while several entities perform these functions. Contracts and actual fund flows must agree.
Create a flow diagram with every legal entity and account boundary. Include refunds, reserves, and partner fees, not just incoming sales. A mismatch between the contractual seller and the visible checkout can confuse customers and complicate disputes. Escalate unclear models to the responsible legal and compliance owners before treating an account identifier as a complete answer.
- ContractIdentify the seller and obligations
- FundsTrace settlement and payouts
- LiabilityAssign refunds and losses
- Brand on screen
- Customer-facing name
- Merchant of record
- Entity responsible in the payment arrangement
Marketplace chain
Illustrative data; not a real customer record or a prescribed policy.
- CheckoutLantern
Visible platform
- Sellervendor-12
Underlying supplier
- Refund ownercontract-defined
Must match the actual arrangement
Both are needed to understand responsibility
Match agreements to actual fund flows. Both are needed to understand responsibility.
- Failure mode 1avoid
- Assume the logo owns every obligation. Branding does not determine all legal roles.
- Failure mode 2avoid
- Ignore supplier payouts. They can remove funds needed for refunds.
- Failure mode 3avoid
- Use only the bank account nickname. It does not establish the legal entity.
Test fulfillment and concentration
Delivery exposure depends on how much business remains unfulfilled and how failures correlate. A merchant with many tickets for one event has concentration even if it has thousands of customers. Customer count is not the same as independent risk.
Estimate undelivered value by cohort and delivery date. Identify common suppliers, venues, platforms, and geographic events that can disrupt many orders together. Ask how the merchant would handle a cancellation or supplier failure. The point is to test a plausible loss path, not to forecast every possible disaster.
- CohortGroup open customer promises
- DependencyFind shared failure causes
- StressEstimate a correlated refund event
- Many buyers
- Large customer count
- Diversified exposure
- Losses do not depend on one common event
Event concentration
Illustrative data; not a real customer record or a prescribed policy.
- Customers4000
Many individual buyers
- Venueone
Shared dependency
- Open ticket value320000 USD
Correlated delivery obligation
Many customers can still share one failure cause
Measure shared delivery dependencies. Many customers can still share one failure cause.
- Failure mode 1avoid
- Use customer count as diversification proof. The venue can fail for everyone.
- Failure mode 2avoid
- Ignore future delivery dates. They determine the exposure window.
- Failure mode 3avoid
- Assume insurance always pays. Coverage and exclusions need evidence.
Verify the story with proportional evidence
Evidence should test the important claims. Bank activity can support cash-flow claims, supplier agreements can support delivery plans, and complaint records can challenge the customer experience. No single document tells the whole story.
Use a documented discrepancy process. A missing document may be a simple administrative gap; a contradiction may be more serious. Record the question being resolved, acceptable evidence, and the decision owner. Avoid collecting a large pile of unrelated documents because it looks thorough. More data increases handling cost and privacy exposure without necessarily improving the decision.
Evidence is most useful when it tests a specific part of the business story. A sample of supplier records can support a claim about access to stock; fulfillment records can support a claim about delivery timing; financial information can support an estimate of repayment capacity. None proves the entire application. Record the claim, the evidence examined, its date, and the unresolved limitation. This makes a conditional approval understandable to the next reviewer and reduces the chance that a polished presentation substitutes for the operating facts.
- ClaimName the fact that matters
- EvidenceChoose a relevant independent source
- ResolveDocument the remaining uncertainty
- Missing evidence
- A claim remains unsupported
- Contradictory evidence
- Sources disagree on the same claim
Fulfillment evidence
Illustrative data; not a real customer record or a prescribed policy.
- Claimstock already purchased
Merchant statement
- Supportsupplier invoice
Purchase evidence
- Gapdelivery confirmation absent
Stock receipt still unproven
Each request should improve the decision
Request evidence tied to the unresolved claim. Each request should improve the decision.
- Failure mode 1avoid
- Collect unrelated personal records. They may add no useful support.
- Failure mode 2avoid
- Treat absence as automatic fraud. Missing and false are different.
- Failure mode 3avoid
- Ignore contradictions after one positive check. The conflict still needs resolution.
Make approval conditional and reviewable
An underwriting result can approve a defined model with limits, reserve terms, review triggers, and prohibited changes. Document the scope so the merchant and operations teams know what was approved. A vague approved status is hard to enforce when the business changes.
Connect conditions to monitoring. If the approval assumes delivery within seven days, the team needs evidence when delivery extends to ninety days. Conditions should have an owner, data source, and response. Review restrictions for proportionality and customer impact. The goal is a sustainable relationship whose assumptions remain visible.
- Approve scopeState the permitted model
- Set conditionsDefine measurable boundaries
- Monitor changeRevisit broken assumptions
- One-time status
- Approved without operating context
- Conditional approval
- Defined model and review triggers
Approval record
Illustrative data; not a real customer record or a prescribed policy.
- Modelimmediate-delivery goods
Approved scope
- Change triggeradvance sales
Different exposure
- Ownermerchant underwriting
Responsible reviewer
Unobserved conditions cannot be enforced reliably
Tie conditions to measurable monitoring. Unobserved conditions cannot be enforced reliably.
- Failure mode 1avoid
- Approve all future business models. The original evidence may not support them.
- Failure mode 2avoid
- Set a limit without an owner. Breaches may receive no response.
- Failure mode 3avoid
- Keep conditions hidden from operations. The team cannot apply them consistently.
Chapter connections
Continue with Credit risk and repayment capacity to follow the next part of the system. Use the glossary for terminology and risk mathematics for formulas and worked calculations.