Fraud Protection

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 scores incoming orders for fraud risk automatically, flags anything suspicious for your review, and maintains trust profiles for your customers so that good customers sail through while questionable ones get a closer look.

Fraud Scoring

Every incoming order is scored based on multiple signals. Omni looks at patterns across the order details, customer history, and known fraud indicators to assign a risk level. You don't need to configure rules or maintain blocklists — the scoring works out of the box.

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

Suspicious Order Queue

High-risk orders are placed in a review queue rather than being processed automatically. You can check the queue at any time:

• "Any suspicious orders?"
• "Show me the fraud 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 fraud 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 automatically. A new customer starts at standard and builds trust through consistent, clean transactions. If problems occur, the tier adjusts accordingly.

Fraud History

Every fraud-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 fraud flags?"
• "Show me the fraud 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 fraud protection and order management work together.

How It Connects

Fraud protection 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 — fraud 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 fraud queue"
• "What's the trust score for this customer?"
• "Has this customer had any previous fraud flags?"
• "How many fraudulent orders did we catch this month?"
• "Approve order #5678 from the fraud queue"