Risk Review

Overview

Fraudulent orders cost more than the transaction itself — there's the lost product, the chargeback fees, and the time spent sorting it out. Omniops includes a fraud-risk workflow for order scoring and review queues, but automatic live scoring should be verified on your store before you rely on it.

Risk Scoring

When the live order webhook path is verified, incoming orders can be scored from multiple signals. Omni looks at patterns across the order details, customer history, and known fraud indicators to assign a risk level.

Orders are grouped into clear categories:

• Low risk — processed normally, no action needed
• Medium risk — worth a glance, but likely fine
• High risk — held for your review before fulfilment

Risk Review Queue

High-risk scored orders appear in a review queue rather than being treated as routine. You can check the queue at any time:

• "Any suspicious orders?"
• "Show me the risk-review queue"
• "How many orders are held for review?"

From the queue, you decide what happens next — approve, decline, or investigate further. Omni provides the context you need: what triggered the flag, the customer's history, and any matching patterns from previous orders.

Customer Trust Tiers

Omni maintains trust tiers for your customers, built up over time based on their order history, return behaviour, and any previous risk flags:

• Trusted — long-standing customers with clean histories. Orders and returns are processed with minimal friction
• Standard — most customers fall here. Normal processing with standard checks
• Flagged — customers with previous issues or suspicious patterns. Orders get extra scrutiny

Trust tiers are maintained from recorded order and return history. A new customer starts at standard and builds trust through consistent, clean transactions. If problems occur, the tier adjusts accordingly.

Risk History

Every risk-related event is logged against the customer profile. When reviewing a suspicious order, you can see the full picture:

• "What's the trust score for this customer?"
• "Has this customer had any previous risk flags?"
• "Show me the risk history for order #1234"

This history also feeds into other parts of Omniops. For example, refund requests from flagged customers are routed to manual review rather than being auto-approved — so risk review and order management work together.

How It Connects

Risk review doesn't work in isolation. It integrates with:

• Order management — high-risk orders are held before fulfilment
• Returns and refunds — trust tiers influence whether returns are auto-approved or manually reviewed
• Customer intelligence — risk patterns contribute to overall customer profiling

The result is a consistent picture of each customer that informs decisions across your business, not just at the point of sale.

What You Can Ask

• "Any suspicious orders?"
• "Show me the risk-review queue"
• "What's the trust score for this customer?"
• "Has this customer had any previous risk flags?"
• "How many high-risk orders did we review this month?"
• "Approve order #5678 from the risk-review queue"