Case Study

GlobalMart: E-commerce AI Pipeline

Retail & E-commerce — 6 weeks engagement · 3 engineers

-96%
Chargeback reduction
50K
Orders/day automated
$2.1M
Saved annually
12s
Avg response time

Challenge

GlobalMart processed 50,000 daily orders through a Shopify storefront, but fraud detection was entirely manual — a three-person review team manually flagging suspicious transactions. The chargeback rate sat at 8%, costing the business millions annually. First-response time for customer inquiries averaged 4 hours, and the team had no automated routing or escalation paths.

Solution

We built a JH Engine order automation pipeline with AI-powered fraud scoring at the edge. Every incoming order is evaluated by a GPT-4o-backed model trained on historical chargeback patterns — scoring risk in under 200ms before payment settlement. Automated routing sends flagged orders to a review queue while clearing low-risk transactions instantly. Real-time Slack notifications keep the ops team in the loop without manual monitoring.

Before → After

Before JH Global Tech
Fraud detectionManual, 3-person team
Chargeback rate8%
First response time4 hours
Order routingManual triage
After JH Global Tech
Fraud detectionAI scoring, 0.02% false positive
Chargeback rate0.3%
First response time12 seconds
Order routingFully automated

Architecture

  • JH Engine with order ingestion pipeline
  • GPT-4o for fraud scoring and anomaly detection
  • Stripe for payment processing and dispute management
  • Shopify API for order and inventory sync
  • Slack integration for real-time alerts
  • PostgreSQL for audit trails and analytics
Tech Stack
JH EngineGPT-4oStripeShopifySlackPostgreSQL
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