A simple and efficient scheduling system that generates employee work shifts based on their availability and the store's hourly staffing needs. Built with Node.js and SQLite.
- Match employee availability to hourly store needs
- Assign shifts per hour per day
- Export weekly schedules into a SQLite table
- Clean, readable console output for weekly schedules
This project began as a practical scheduling tool, but I plan to evolve it into something much more powerful:
- AI-Powered Scheduling: Integrate machine learning to automatically generate the most efficient schedule based on business needs, employee availability, preferences, and historical trends.
- Smart Prioritization: Use AI to fairly distribute shifts, reduce overtime, and adapt to changing staffing patterns.
- Web Dashboard: Build a clean UI for managers to review, adjust, and publish schedules.
- Dynamic Shift Support: Allow variable shift lengths and overlapping shifts for more realistic coverage.
- Employee Portal: Let team members submit availability, request time off, and view schedules in real time.
- Predictive Insights: Suggest optimal staffing levels for busy days based on sales and traffic data (if available).
- Notifications: Automatically notify employees of assigned shifts via email or SMS.
Long term, I want this project to grow into a smart, user-friendly scheduling assistant that helps both managers and employees — especially in fast-paced environments like retail or food service.