Project Case Study
VeriTrustAI
An AI-powered fake order detection platform for Bangladesh e-commerce — reducing return rates, courier costs, and operational losses from fraudulent orders.
The Challenge
Fake orders are a significant operational drain on Bangladesh e-commerce: returned deliveries, wasted courier fees, and inventory reservation losses reduce profitability and erode trust. Manual order verification is slow and inconsistent.
What We Built
Faha Studio built VeriTrustAI — an AI-driven platform that analyzes order signals and customer behavior patterns to identify and flag suspicious orders before dispatch, allowing operations teams to act proactively.
Key Outcomes
- Proactive fraud detection — suspicious orders are flagged before products are packed and shipped, preventing avoidable losses
- Reduced return rates — filtering out fake orders decreases costly courier returns and reshipping expenses
- Operations team workflow — a clear verification dashboard gives teams actionable insights without requiring data science expertise
- Configurable sensitivity — detection thresholds can be tuned to balance fraud prevention against false positives for legitimate customers
- Bangladesh e-commerce context — models trained and calibrated on local order behavior patterns for higher accuracy
