Contact person: Business Client

Phone:Show

Email:Show

Location: Sri Lanka

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"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" (client-provided description)