Sri Lanka Hotel Concierge Software Development

Customer: AI | Published: 03.11.2025
Бюджет: 8 $

Software developer for the below project Project Brief: Concierge Software for Sri Lankan Hotels 1. Project Overview Project Name: Sri Lanka Hotel Concierge Automation System Objective: Develop a concierge software that streamlines restaurant discovery, booking, and confirmation processes for hotel guests in Sri Lanka. 2. Core Features & Requirements A. Restaurant Discovery Module Search Functionality: Search by cuisine type (Sri Lankan, Italian, Chinese, Indian, Seafood, etc.) Filter by location/proximity to hotel Filter by customer ratings and reviews Search by ambiance/view (beachfront, mountain view, rooftop, garden) Price range filtering (budget, mid-range, luxury) B. Booking Automation Module Hotel Front Desk Interface: Simple booking form with guest details Restaurant selection from search results Date, time, and party size selection Special requests/notes field Automated Notification System: To Restaurant: Automatic notification of booking details (guest name, party size, time, special requests) To Guest: Automatic email confirmation with booking details, restaurant information, and directions 3. Technical Specifications Primary Integrations: Restaurant Database: Google Places API or local Sri Lankan restaurant directories Notification System: Email integration (SMTP/API) for customer confirmations Restaurant notification via email/SMS/API based on restaurant preference User Roles: Hotel Concierge/Front Desk: Full access to search and booking functions System Administrator: Management of restaurant partnerships and system settings 4. Sri Lanka Specific Requirements Local Considerations: Support for both English and Sinhala/Tamil languages Integration with popular Sri Lankan restaurant booking systems Local payment gateway options (if paid bookings required) Mobile-friendly design for hotel staff using tablets 5. Success Metrics Reduced concierge time per restaurant booking Increased guest satisfaction scores Higher restaurant booking conversion rates Automated confirmation rate (>95%) 6. Phase 1 MVP Scope Basic restaurant search and filtering Manual restaurant selection and booking Automated email confirmations to guests Simple notification to restaurants via email 7. Future Enhancement Considerations Direct API integration with major restaurant reservation systems Mobile app for guests to make requests directly Payment processing for prepaid reservations Analytics dashboard for hotel management