Projects

Problem

As the number of daily orders increased, store employees struggled with manual workflows and disconnected tools. They had to switch between systems to manage orders, track shifts, and print invoices. During peak hours, this often caused slow checkouts, data mistakes, and extra pressure on staff.

Solution

I built a real-time POS operations system that brings order management, shift tracking, and invoice printing into one place. With a faster and more intuitive workflow, employees can create and update orders instantly, reduce manual input errors, and serve customers smoothly even during busy periods.

Problem

Limited visibility into staff performance, store activity, and daily revenue made it difficult to monitor business health and make timely decisions.

Solution

Developed a centralized admin dashboard that enables administrators to manage employees, track working hours, and historical revenue, oversee store activity, and view live orders across multiple locations.

Problem

During peak hours, customers had to wait for staff to manually take and place orders, creating long queues, increasing the risk of order errors, and slowing overall service speed.

Solution

Developed a real-time self-ordering web application that allows customers to browse the menu, customize items, and place orders directly from their own devices. Orders are instantly sent to the store system, reducing wait times, minimizing errors, and improving operational efficiency during busy hours.

Problem

The system required a reliable backend to process and manage data coming from frontend applications in real time, ensuring data accuracy, synchronization, and stable performance across multiple clients and locations.

Solution

Developed a scalable Node.js backend that processes real-time events, handles image uploads, and maintains persistent data storage, ensuring consistent and synchronized data across all POS clients and services.