StackAssist: HayStack

Project description

We explored how to optimize the user experience of Faes's StackAssist application, a software solution designed to enhance efficiency in warehouse stacking processes. The research focuses on improving the way stacking instructions are presented to order pickers, aiming to reduce errors, increase confidence, and minimize physical strain.

Context

Faes is a supply chain solutions company specializing in packaging and logistics.
They developed StackAssist to address inefficiencies in manual stacking methods common in warehouse environments. While StackAssist can optimize pallet loading, many warehouse workers find its current instruction format (static visuals) difficult to follow, leading to errors and frustration.

In the UX domain, we are optimizing the usability of the software in a warehouse setting.
The goal is to improve employee support by designing more intuitive and user-friendly interfaces for interacting with stacking instructions.

Results

The project resulted in the development of "HayStack," an AI-powered validation system designed to enhance the StackAssist experience for warehouse workers.

This concept addresses key user needs identified through extensive research, including:
-Dynamic Instructions: Replacing static diagrams with interactive, animated 3D visuals to guide order pickers through the stacking process step-by-step.

-AI Feedback: HayStack provides feedback to users on their stacking accuracy through a combination of auditory cues and visual indicators. This minimizes errors, increases confidence, and provides reassurance during the stacking process.

-Hands-Free Use: Recognizing the physical demands of warehouse work, HayStack is designed as a wearable device (inspired by the Humane AI Pin) that projects instructions and delivers feedback hands-free.

This concept was validated through a combination of User Research, Literature studies, usability and wizard of oz testing.

Currently HayStack stands at a TRL of 3/4.