Wayfair - Supply Chain Optimization

Wayfair's supply chain suffered from process inefficiencies at scale. Product images were inconsistent or missing, creating friction for buyers and increasing return rates. Fraud in the supplier pipeline was difficult to detect at the volume of transactions processed. Day-to-day operations relied on manual workflows that didn't scale with the company's growth. The mobile app experience for warehouse operators and logistics teams was clunky and slow, leading to errors and lost productivity.

Built internal tools that rectified the entire supply chain flow. Implemented image validation and processing pipelines that ensured product images met quality standards before reaching customers. Designed fraud prevention systems that flagged anomalous supplier behavior and transaction patterns. Streamlined day-to-day supply chain operations by automating manual workflows and eliminating bottlenecks in the fulfillment pipeline. Built the backend and API layer behind the operators' mobile experience and worked with the mobile app team on how to deliver offline capability for areas with poor connectivity.

Shipped event-driven fixes and internal tools across the supply-chain pipeline: image validation to cut returns from bad or missing images, fraud-anomaly detection, and the backend/API layer behind the operator mobile experience (which added offline capability for poor-connectivity areas — I did the backend/API and supported the mobile team on the approach, not the app build itself). The business credited the broader supply-chain effort with about $5M/year in reduced lost-inventory cost — one of several contributing initiatives, and lightly instrumented (no verified operator-efficiency percentage).