Merchants should move more of the fraud decisioning to the online checkout stage, where risk signals are richer and review can happen before the customer arrives. That lets stores avoid slow manual checks at pickup, preserves convenience, and reduces staff burden. The goal is to treat pickup as a fulfillment step, not a second fraud checkpoint, while still blocking suspicious orders before they reach the counter.
Moving fraud decisions upstream to checkout
BOPIS fraud is best reduced by deciding as much as possible before the order reaches the store. Online checkout can combine account history, payment behavior, delivery and pickup patterns, device signals, and velocity checks in a way that a counter agent cannot replicate quickly at pickup. That shifts review to a place where fraud signals are richer and operational delay is lower.
The practical advantage is not just better detection, but better timing. A merchant can cancel, hold, or route suspicious orders for review before a customer arrives, which avoids forcing store staff into a slow verification script. That matters because pickup is usually a fulfillment moment, not the best point for a deep fraud investigation.
How to keep pickup fast without weakening control
The strongest operating model is to treat pickup as a confirmation step for an already-decided order, not as a second full screening event. Stores should verify only the minimal facts needed to match the order to the person collecting it, while the risk engine handles higher-value or higher-uncertainty cases upstream. This preserves convenience for normal customers and keeps store queues moving.
That design also reduces inconsistency. If every store or associate improvises a different set of checks, the merchant creates uneven customer friction and uneven fraud exposure. A centralized policy with clear escalation thresholds is usually better than ad hoc judgment at the counter, especially when the same fraud pattern can appear across many locations.
What signals and controls matter most
For BOPIS, the highest-value controls are the ones that help distinguish legitimate account activity from stolen-payment or account-takeover behavior before fulfillment. Strong candidates include step-up verification at checkout, order velocity limits, pickup window constraints, order-hold rules for anomalous transactions, and post-order review queues for high-risk baskets or first-time pickup behavior.
The key is to use signals that are available early and are hard for a fraudster to fake at scale. A merchant does not need to turn every order into a manual case. Instead, it should reserve human review for edge cases where the risk score, customer history, or account state makes the order materially different from the norm.
Risk and Threat Considerations
BOPIS fraud often exploits the gap between order placement and pickup. Attackers can abuse stolen credentials, compromised payment methods, or account takeover to place legitimate-looking orders and then collect quickly before the merchant reacts.
Failure mechanism: If the merchant waits until pickup to perform the meaningful fraud check, the store becomes the first real control point, and that is often too late to prevent loss or operational disruption.
Impact: The result is chargebacks, inventory loss, customer disputes, and slower checkout for honest buyers when staff compensate by adding manual checks everywhere.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP API Security Top 10 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST SP 800-53 Rev 5 | IA-2 — Identification and Authentication (Organizational Users) | Checkout and pickup decisions depend on verified user identity and session trust. |
| AC-6 — Least Privilege | Store staff should have only the minimum authority needed to complete pickup checks. | |
| AU-6 — Audit Record Review, Analysis, and Reporting | Upstream fraud review needs traceable decisioning and exception review. | |
| Recommendation — Require stronger authentication before allowing high-risk BOPIS orders to proceed. Limit associate actions so pickup verification cannot override fraud holds. Review fraud decisions and exceptions to tune the checkout-stage risk model. | ||
| OWASP API Security Top 10 | API2 — Broken Authentication | BOPIS abuse often starts with compromised accounts used to place fraudulent orders. |
| API5 — Broken Function Level Authorization | Order-release and pickup actions must be restricted to the right roles and states. | |
| Recommendation — Harden authentication so stolen credentials cannot easily place pickup orders. Enforce role checks on pickup release, cancellation, and override functions. | ||
Practitioner Guidance
What to prioritise: Put the strictest fraud decisioning at checkout for orders with abnormal risk signals, then keep pickup verification intentionally lightweight. If a control cannot be executed consistently within a short store interaction, it probably belongs upstream.
What to verify: Confirm that the store only receives orders already classified into clear handling paths, such as approve, hold, or review. If associates still need to interpret vague risk signals at the counter, the process is not yet designed well enough.
Practitioner takeaway: The best BOPIS fraud control is the one customers never notice when they are legitimate, because it works before the pickup moment rather than turning the store into a second investigation site.
Related resources from NHI Mgmt Group
- How should financial institutions reduce onboarding fraud without adding unnecessary account opening friction?
- How should merchants use 3D Secure to reduce true fraud chargebacks without adding too much checkout friction?
- How should mobile security teams use device identification to reduce fraud without adding unnecessary login friction?
- How should merchants reduce false declines without adding unnecessary checkout friction?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 25, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
