Objective: Develop a housekeeping management system to streamline the management of housekeeping tasks, staff, and inventory within facilities such as hotels, resorts, or residential complexes.
Target Users: Housekeeping staff, supervisors, and facility managers.
2. Core Features
User Authentication and Authorization:
Registration and login for housekeeping staff, supervisors, and administrators.
Role-based access control (e.g., staff, supervisor, manager).
Task Management:
Creation, assignment, and tracking of housekeeping tasks (e.g., room cleaning, maintenance).
Scheduling and prioritization of tasks.
Task status updates and completion tracking.
Staff Management:
Management of staff profiles (e.g., contact information, schedules, roles).
Tracking of staff work hours and attendance.
Performance monitoring and feedback.
Inventory Management:
Tracking of housekeeping supplies and equipment.
Management of inventory levels, reordering, and usage records.
Alerts for low stock levels and inventory audits.
Room Management:
Management of room statuses (e.g., clean, dirty, in maintenance).
Room assignment and tracking of room cleaning schedules.
Guest requests and special requirements handling.
Reporting and Analytics:
Generation of reports on task completion, staff performance, and inventory usage.
Analysis of operational efficiency and identification of areas for improvement.
Communication:
In-platform messaging system for communication between staff, supervisors, and managers.
Notifications for task assignments, status updates, and inventory alerts.
3. Technical Requirements
Frontend:
User-friendly interface with responsive design.
Technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Backend:
Server-side development using languages like Python (Django/Flask), JavaScript (Node.js), or PHP.
RESTful APIs for communication between frontend and backend.
Database:
Data storage for user information, task details, staff records, inventory, and room statuses.
Relational databases (e.g., MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB).
Security:
Encryption of sensitive data (e.g., personal information, inventory records).