Black Friday and Cyber Monday are coming fast, and most fraud teams aren't prepared for what's about to hit them. AI shopping agents are already placing orders on e-commerce sites, manual review queues are about to get slammed, and outdated decision rules could cost you millions in lost revenue.
Vito Petruzzelli breaks down the three critical areas every fraud team needs to address right now. First, AI agents are already shopping on your site whether you know it or not. He shows you exactly how to identify these bot transactions using specific browser strings and user agent data that most teams completely miss.
The bigger problem? Your mobile app guest checkout could be hemorrhaging money. Real data shows mobile app guest transactions running 168 basis points of gross loss rate compared to just 6 basis points baseline. That's 28x higher fraud rates hiding in plain sight.
Using "Il Metodo" (The Method), inspired by legendary soccer tactics, you can finally turn your overwhelming fraud data into actionable intelligence. This systematic approach helps you identify exactly which traffic segments are costing you money and which false positives you're leaving on the table.
The window for testing is closing fast. With only days left in August, now is the time to run A/B tests on your auto-decision logic, review queue criteria, and approval thresholds. What you learn in the next few weeks will determine whether your holiday season is profitable or painful.
Key topics covered:
[00:00] Intro
[02:04] Holiday fraud prep cookbook launch
[04:29] Agent commerce trial year begins
[08:55] Detecting bot traffic with Javascript strings
[13:09] AB testing strategies before Black Friday
[17:20] The Method framework for fraud analysis
[21:04] Order channel performance breakdown reveals losses
[24:58] Mobile app guest checkout disaster zone
[29:38] Agent transaction fraud liability questions
[32:00] Third party manual review success metrics
[38:43] Identity verification with 96% approval rates
[40:09] Manual review teams handle 6x holiday volume
Subscribe for more fraud prevention strategies and risk management insights that help e-commerce teams protect revenue while reducing false positives.