How Opsfly filters fake and fraudulent orders automatically

Fake orders waste courier fees and product stock. Here's how AI detects and flags them before dispatch.

Fake orders are a serious problem for f-commerce sellers in Bangladesh. A seller might dispatch 50 orders only to have 15 returned because the address was fake, the phone number was wrong, or the customer never intended to pay. Each returned order costs courier fees, packing time, and tied-up inventory. Opsfly's fraud filter runs automatically before any order is confirmed and dispatched.

The filter checks several signals: phone number validity and activity, address completeness, order history from the same number (repeat cancellations are a red flag), and conversation tone (certain patterns in the pre-order chat correlate with intent to defraud). Orders that score above a risk threshold are automatically flagged in Console for your review before dispatch — you can approve, reject, or request phone confirmation from the buyer.

This feature is currently in development and will be available to early-access customers in late 2026. Based on the signals we see in our pilot data — where a meaningful share of dispatched orders result in returns due to bad address or non-payment intent — we believe automated pre-dispatch filtering will be one of the highest-ROI automations on the platform. You retain full control at every step: nothing is rejected without your review.