Why does rapid growth in BOPIS and curbside pickup create more fraud exposure for retailers?

Why Rapid Pickup Adds More Fraud Surface

Rapid BOPIS and curbside programs compress the time between order placement, payment authorization, and physical release. That compression is useful operationally, but it also creates a narrower window for verification and more opportunities for policy workarounds. Fraudsters look for channels where the merchant is under pressure to hand over goods fast, because speed often beats review when the release point is weak.

For retailers, the risk is not just card fraud. Pickup flows can be abused through account takeover, fake pickup identities, intercepted confirmation messages, stolen order numbers, and social-engineering of store staff. Once a store is trained to treat fast handoff as good service, the control burden shifts to the edge of the process, where mistakes are harder to reverse.

In practice, many pickup fraud losses appear first as “customer service exceptions,” not as obvious security incidents.

How It Works in Practice

BOPIS and curbside fraud exposure rises because the control environment is split across digital checkout, fulfillment systems, and a physical handoff. Each step introduces a chance for mismatch between who paid, who appears at pickup, and who actually receives the goods. The more the process is optimised for throughput, the more likely teams are to relax checks that would normally catch abuse.

A common failure pattern is that the order is approved cleanly online, but the store only verifies a code, a name, or a vehicle description at pickup. That may be enough for legitimate customers, yet it is also enough for a fraudster who has gained access to an account, obtained an order confirmation, or convinced staff to override a missing detail. The store then becomes the point where a digital weakness becomes a physical loss.

Operationally, retailers should expect three pressure points:

• Identity and order verification, where staff need a reliable way to distinguish the rightful customer from someone with partial order data.

• Exception handling, where rushed substitutions, split pickups, or altered fulfilment instructions create opportunities for abuse.

• Release governance, where staff need clear authority to hold, escalate, or cancel suspicious pickups instead of defaulting to speed.

Controls work best when they are embedded in the pickup workflow rather than layered on after the fact. Practical examples include stronger pickup authentication for higher-value orders, tighter change-of-location or change-of-name rules, limited reuse of order references, and audit trails that link the order, the picker, the store employee, and the final handoff. When those links are missing, investigators can see that a loss occurred but struggle to prove where the abuse entered the process.

This guidance tends to break down in high-volume stores during peak periods, because queue pressure pushes staff toward informal verification and overrides.

Common Variations and Edge Cases

Tighter pickup controls often increase friction at the store, so retailers have to balance fraud prevention against customer experience and labour overhead. That tradeoff is especially sharp for low-value items, recurring customers, and same-day orders, where heavy verification can look disproportionate even when the fraud risk is real.

The risk profile also changes by product mix. High-resale goods, giftable items, and electronics are more attractive to fraudsters than bulky or low-value merchandise, so a one-size-fits-all pickup policy usually wastes effort in some categories and leaves gaps in others. Some retailers use tiered verification, where the strongest checks are reserved for higher-value or higher-risk orders, but that requires good segmentation and discipline.

Another edge case is curbside pickup itself. Because the handoff happens quickly and often outside the store, employees may have less time to compare the person, the vehicle, and the order details. That makes the process more vulnerable to impersonation and to social pressure on frontline staff. Current guidance suggests treating curbside as a controlled handoff, not as a convenience-only flow, because convenience without accountability becomes an invitation to abuse.

Risk and Threat Considerations

Rapid BOPIS and curbside growth increases exposure to fraud, account misuse, and insider or social-engineering abuse at the pickup stage. The core risk is that a digital approval can be separated from the physical release, allowing an attacker or opportunistic fraudster to exploit weak handoff controls even when payment or order validation looked sound.

Failure mechanism: The fraud path usually combines stolen account access, intercepted order data, weak pickup verification, or staff override pressure. Once an order can be released on partial evidence, the control failure becomes a trust-boundary problem: the retailer has no reliable guarantee that the person or vehicle at the curb is entitled to receive the goods.

Impact: The result is direct merchandise loss, chargeback and dispute pressure, increased store labour for recovery, and reduced confidence in same-day fulfilment channels. In higher-volume environments, repeated abuse can also distort inventory accuracy and make fraud patterns harder to distinguish from legitimate pickup exceptions.

Practitioner Guidance

What to prioritise: Focus first on the handoff steps that determine whether the order leaves the store. If the pickup point accepts only a name, code, or order number, that is where the loss will concentrate; strengthen that control before adding more back-office review.

Decision rule: Treat higher-value, high-resale, and first-time pickup orders as higher risk by default. For those orders, require an additional verification signal and a clear exception path when staff cannot validate the pickup cleanly.

What to verify: Confirm that store staff can record who approved the release, what evidence was checked, and why any override occurred. If those details are not captured, the retailer will struggle to learn from incidents or to prove a pattern of abuse.

Common mistake: Assuming faster fulfilment can be made safe by training alone. Training helps, but the process still needs hard stops, measurable release criteria, and limits on informal exceptions.

Practitioner takeaway: The best fraud control for pickup channels is not maximum friction, it is targeted friction at the exact moment goods change hands.

Related resources from NHI Mgmt Group

• Why do compromised employee accounts create outsized risk for banking data exposure and downstream fraud?
• When does rapid growth create more risk for identity and security operations than it removes?
• Why do real-time payments create more fraud exposure for banks and merchants than slower payment rails?
• Why do omnichannel retail environments create more account takeover and pickup fraud risk?