Case Study : Boxed SMARTstockup

SmartStockup is a sophisticated replenishment engine driven by internal data science to predict individual consumption cycles. My role was to translate these complex algorithmic outputs into a frictionless, high-utility interface that empowered users to restock essential items before reaching a deficit. I led the end-to-end design for this initiative across Android, iOS, and Responsive Web, ensuring the replenishment "queue" felt like a helpful assistant rather than a redundant list.

Using existing design system components, I architected a streamlined user flow to validate the SmartStockup logic. The interface categorized algorithmic recommendations into two distinct priority tiers: "Need Now" and "Need Later." To give users full agency over their replenishment cycle, I designed a flexible interaction model allowing them to Purchase, Snooze, or Permanently Dismiss items—supporting both granular, item-level control and efficient batch actions for high-volume shoppers.

To ensure the SmartStockup feature was both discoverable and intuitive, I led a rigorous usability study via UserTesting.com. We validated the experience across both iOS and Responsive Web, recruiting a diverse cohort to identify platform-specific friction points. These insights allowed us to refine the predictive "queue" interface, ensuring a seamless, high-confidence transition for users moving between mobile and desktop environments.

As the lead designer for the SmartStockup initiative, I maintained full-fledged ownership of the product lifecycle, from initial discovery through final engineering handoff. I was responsible for architecting the user experience across iOS and Responsive Web, ensuring that the complex replenishment logic translated seamlessly into platform-specific design patterns. By managing every stage of the design process, I ensured a cohesive, high-fidelity experience that preserved the integrity of the data science model while prioritizing ease of use for the end customer.