AI Platform for an E-commerce Client
Feb – Mar 2025
One engineer orchestrated AI agents to build 4 production systems in 14 days. All four are live and running autonomously.
Delivery Date Prediction
ML pipeline for delivery date accuracy. 450+ experiments, ~30,000 models, 60+ features, 78 temporal folds. +26% relative accuracy improvement.
A/B Test Incrementality
Automated ATE/CATE analysis across geographic segments. $1.48M revenue opportunity surfaced across 7 retailers.
AI Sales Operations
Deal detection, health scoring, outreach management. $6.6M in active pipeline tracked.
Delivery Performance Monitoring
Daily alerting across 300+ fulfillment centers. 400K+ shipments monitored weekly.
| Metric | Value |
|---|---|
| Production systems deployed | 4 |
| Total experiments run | 450+ |
| Models trained | ~30,000 |
| Total compute cost | ~$500 |
| Calendar time | 14 days |
| Engineers | 1 |