Amazon / Veeqo
Digital Picking
Scanner-guided warehouse picking at Veeqo

Overview
A warehouse picking experience built at Veeqo (an Amazon company) to make order fulfilment faster, clearer and less error-prone for ecommerce sellers.
Scanner-Guided
Picking
Paper → Digital
Pick Lists
Speed & Accuracy
Focus
The Story
At Veeqo, I helped build Digital Picking, a warehouse picking experience designed to make order fulfilment faster, clearer and less error-prone for ecommerce sellers.
The problem was simple but painful: warehouse teams were still relying on printed pick lists, manual checks and repeated back-and-forth between shelves, screens and packing benches. As order volumes grew, that process became harder to scale. Mistakes were costly, training new staff took time, and busy periods placed real pressure on warehouse teams.
Digital Picking was built to change that.
The product guided users through the picking process step by step, helping them find the right products, pick the right quantities and move through orders with confidence. Instead of asking warehouse staff to interpret long paper lists or remember complex workflows, the experience brought the next best action directly into their hands.
My role involved shaping the product from problem discovery through to delivery. I worked closely with engineering, design and operations to understand how real warehouse teams worked, where mistakes happened, and what would make the experience genuinely useful on the warehouse floor. The challenge was not just to digitise a paper process, but to create something fast, practical and reliable enough to be used in high-pressure fulfilment environments.
A key focus was reducing friction. Every screen, interaction and decision point needed to support speed and accuracy. The product had to be easy to learn, hard to get wrong, and flexible enough to support different warehouse setups and seller workflows.
Digital Picking became part of a broader fulfilment experience, helping sellers move from order to dispatch with greater control and confidence.
For me, this project represents the kind of product work I enjoy most: taking a messy, operationally complex problem and turning it into a simple, human-centred experience that helps real people do their jobs better.