SMRT Ultra

My Role: UI/UX Designer

I led the full design process from concept to high-fidelity interface, including research, user flows, wireframes, visual design, and prototyping.

The Problem

Most traditional POS systems are outdated, cluttered, and not optimized for mobile use. Staff often struggle with slow interfaces and multi-step flows, especially during peak hours. There was a clear need for a lightweight, fast, and voice-assisted solution that could adapt to real-world retail pressure.

Design Goals

    •    Simplify essential POS tasks (orders, refunds, inventory)

    •    Minimize steps for common actions

    •    Enable hands-free operation via AI-powered voice commands

    •    Create a dark, touch-optimized UI for long shifts and low-light settings

    •    Ensure scalability for cafés, food trucks, boutique shops, and temporary retail setups

Design Process

1. Research & User Flows

I studied current POS solutions and gathered feedback from baristas and retail workers. Key friction points included multi-screen navigation, lack of speed, and poor mobile layouts.

2. Wireframing & Prototyping

I designed core task flows — placing an order, scanning products, viewing inventory, processing payments — with minimal cognitive load in mind. Prototypes were tested and iterated for faster interactions.

3. UI & Visual Language

A modern, dark-themed interface was designed for clarity and comfort. I used high-contrast elements, large touch targets, and a modular component system to support scalability across different screen sizes.

4. AI Voice Control Integration

One standout feature is the ability to create and complete orders using voice commands. This allows staff to operate the system hands-free — useful in environments like busy cafés or pop-up kiosks where multitasking is constant.

Outcome

During pilot testing with dry-cleaning staff, the new POS app quickly became the favorite tool on the floor. What used to be a slow, multi-step process turned into a few quick taps. Staff said they could finally keep up with customers instead of the system. Even the voice commands, which started as a side idea, ended up being the most loved feature cleaners used it to check orders and mark items hands-free while handling clothes. The dark, touch-friendly UI made long shifts easier on the eyes, and the overall experience felt less like “software” and more like a helpful coworker that actually understood the job.