Inventory Fulfillment App 企業工具 by Yi Tang

Inventory Fulfillment App 企業工具 by Yi Tang is a highly esteemed winner of the very prestigious 2026 A' Design Award 銅獎 in 流動設計 Competition Category.

銅流動· 2026

Inventory Fulfillment App 企業工具

by Yi Tang

Client: Yi Tang

A' Design Award 銅獎 Winner in 流動 Category

11,548

Verified Award Winner

Verify Award Status for #175652

View at A' Design Award Press Release Award Badge

Colors

The Design

About Inventory Fulfillment App 企業工具

呢個應用程式——庫存履行流動套件,針對嘅係倉務員嘅日常工作,佢哋要處理各式各樣嘅貨運同埋為訂單備貨。呢個套件圍繞倉庫嘅實體佈局嚟組織任務,並運用掃描即行動嘅方式,將用戶帶去相關嘅記錄。清單按貨架通道排序,以減少嚟回走動,而缺貨或替代品嘅問題亦可以喺同一個畫面內解決。呢個設計著重清晰嘅操作提示、可預測嘅流程,以及掃描時嘅即時回饋,並透過現場測試不斷優化。呢種方式減少咗錯誤,亦令數碼記錄同貨架上嘅實物保持一致。

The Recognition

About the A' Design Award 銅獎

Inventory Fulfillment App 企業工具是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計Inventory Fulfillment App 企業工具將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。Inventory Fulfillment App 企業工具出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Inventory Fulfillment Mobile Suite transforms how frontline inventory staff manage and execute fulfillment tasks in fast-paced, high-volume environments. Designed for clarity, adaptability, and real-world complexity, it unifies fragmented processes into a single, intuitive mobile workspace. Users can track inventory health, process work orders, and coordinate shipments with speed and confidence. From QR-enabled actions to location-aware task flows, interactions mirror physical world and movement patterns, reducing cognitive load and errors. The result is a tool that empowers staff to work fluidly, accurately, and with a clear sense of control.
Dimensions & Packaging: Application designed for mobile devices
Tags: UX, UI, Mobile App, Inventory Management, Enterprise Tool, Order Fulfillment, Service Logistics, QR Interaction, Workplace Design, Field Operations
Production Technology: The design was realized using mobile-first interaction design frameworks, responsive UI systems, and component-based prototyping tools. High-fidelity prototypes were built using Figma and tested across iOS and Android environments. The design was delivered for implementation in React Native, integrating with internal APIs and order management systems.
Design Challenge: The biggest challenge was designing for users constantly in motion, who relied on fragmented desktop systems not meant for mobile workflows. We had to rethink not just screens, but the sequence, spatial logic, and cognitive demands of real-world fulfillment tasks. The result is a system that thinks like the worker,not like the software.
Research: This research-driven design project involved field shadowing, journey mapping, and direct interviews with inventory staff. The goal was to identify friction in physical workflows and software interactions. Research revealed a mismatch between static desktop tools and dynamic, movement-based tasks. Through scenario testing and iterative prototyping, the team developed mobile-first flows, location-aware interfaces, and QR-enabled actions that align with how users move, think, and act in real-world environments.
Inspiration: This project was grounded in direct field research with inventory staff across warehouses and service centers. By observing their workflows, pain points, and physical environments, we uncovered critical mismatches between static desktop tools and their dynamic, movement-based work. This insight inspired a mobile design that mirrors real-world logic, reduces friction, and empowers users to act confidently while in motion.
Project Duration: 2 years, United States
Operation Flow: Users begin by scanning a shipment or selecting a work order. The app dynamically presents next actions based on inventory status and item location. Tasks like picking or counting are arranged by aisle, enabling users to move in a single direction. QR code scanning at key touchpoints reduces manual steps. Flows mirror real-world movement and empower users to complete fulfillment tasks efficiently, with less cognitive load and fewer errors.