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Retail Tech & AI7 min read

ML in Fraud Prevention: Detecting Fake Orders, Promo Abuse & Stolen Cards

How behavioral machine learning models detect promotional code abuse, GPS spoofing, and bogus orders before riders are dispatched.

Author: FirstMartt Security Data ScienceTopics: AI Commerce Startup India, Retail Technology Startup, Hyperlocal Commerce Startup

As digital platforms scale, bad actors attempt to exploit promotional signup vouchers, create fake accounts, or use GPS spoofing apps to claim unearned delivery fees.

Multi-Layered Anomaly Detection Pipeline

FirstMartt analyzes over 40 behavioral signals in real-time before confirming any transaction:

  • **Device Fingerprinting:** Flags multiple accounts registered from the same physical smartphone hardware attempting to reuse single-use welcome coupons.
  • **GPS Telemetry Validation:** Identifies unnatural jumps in rider coordinates that indicate GPS spoofing software.
  • **Order Velocity Thresholds:** Blocks sudden rapid-fire high-value orders placed on newly created accounts using compromised card numbers.
  • **Merchant Storefront Anomaly Scans:** Detects suspicious price discrepancies (e.g. accidental ₹1 pricing on ₹1,000 ghee tins) before orders are broadcast.

Automated risk modeling safeguards merchant revenues and keeps marketing budgets focused on genuine customers.

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