Case Study

Periodic Tables Reservation System

A full-stack reservation management application built to support structured booking workflows, table coordination, and operational visibility for restaurant service.

Full-Stack ApplicationsReactExpress.jsPostgreSQLKnex.js

Role

Solo Engineer

Status

Completed / Rebuild

Focus

Reservations & Workflow

Type

Full-Stack Application

Overview

What this project is

This project is a reservation management system designed to support restaurant booking workflows through structured data, CRUD operations, and role-oriented user flows. It focuses on practical operations rather than purely presentational UI.

Problem

Why this project exists

Reservation workflows become difficult to manage when booking details, table states, and service coordination are handled inconsistently. The project was built to create a clearer operational system for managing reservations and seating flow.

Goals

Project goals

  • Build a full-stack application for reservation and seating workflows
  • Support CRUD operations with validation and operational rules
  • Model practical restaurant coordination needs in the database and UI
  • Create a clean, responsive interface for day-to-day workflow management

System

System architecture

The application separates frontend workflow views, backend business logic, and relational data storage so reservation handling remains structured and easier to maintain.

Reservation input

Validation / business rules

Express API

PostgreSQL

Reservation + table state queries

React interface

Stack

Technology used

  • React
  • Express.js
  • PostgreSQL
  • Knex.js
  • JavaScript
  • CSS

Features

Key capabilities

  • Reservation creation, editing, and cancellation flows
  • Table assignment and seating management
  • Business-rule validation for operational constraints
  • Responsive interfaces for reservation workflows
  • Structured backend logic for stateful reservation handling

Technical Decisions

Important implementation choices

Why PostgreSQL

Reservations and table states require structured relationships and reliable querying, which made PostgreSQL a practical choice for the application data model.

Why Express for backend logic

Express provided a straightforward way to handle reservation workflows, validation rules, and API endpoints without adding unnecessary abstraction.

Why prioritize workflow over decoration

For operations-heavy applications, clear interaction flows and state handling matter more than purely aesthetic interface choices, so the project prioritized usability and task completion.

Constraints

Challenges and limitations

Reservation systems have many small operational rules that can create bugs if not handled intentionally. A key challenge was translating real workflow constraints into backend validation and predictable UI behavior.

Outcome

What this project demonstrates

This project demonstrates full-stack application design, database-backed workflow management, and the ability to model practical operational systems with clear user-facing interactions.

Next Steps

Future improvements

  • Refine table management and edge-case handling
  • Improve interface clarity for high-volume service flow
  • Add stronger reporting around reservation activity
  • Modernize the rebuild with updated styling and documentation