Built with FlutterFlow
Lima: Next All In One Hotel Platform
Imad Dhin
All-in-One Hotel Management & Guest Experience Ecosystem
Overview This project represents a paradigm shift in hospitality software—an All-in-One Hotel Solution that unifies property management (PMS) with a high-end Guest Experience Platform. Beyond just "managing rooms," it acts as a central operating system for the entire hotel, seamlessly connecting front-desk operations with the guest's personal digital journey.
Current Status: Stable Core Live | Advanced AI & Booking Engine in Development
📱 Future-Ready Device Ecosystem
The architecture is built to scale beyond the web, utilizing Flutter’s multi-platform capabilities to target specific hardware for different use cases:
Standard Web & Tablet: The primary command center for Front Desk and Admin staff.
Self-Service Kiosks: Dedicated simplified interfaces for lobbies, allowing guests to check in/out and print key cards without staff assistance.
WearOS (Staff & Guests):
For Staff: Instant wrist notifications for housekeeping alerts (e.g., "Room 204 Cleaned") and high-priority guest requests.
For Guests: Digital room keys and "tap-to-pay" capabilities using their watch.
visionOS (Apple Vision Pro):
Immersive Booking: A "Spatial Booking" experience where potential high-end guests can virtually "walk" through suites and inspect amenities in 3D before reserving.
Virtual Concierge: An augmented reality city guide that visualizes points of interest overlaid on a map of the city.
💎 Deep Dive: The Next-Gen Booking System
Moving beyond simple date-selection, we are building a Revenue & Experience Engine:
1. Intelligent "Dynamic Pricing" Core
Algorithmic Rate Adjustment: The system automatically adjusts room rates in real-time based on occupancy levels, seasonality, and local demand surges (e.g., increasing rates during a local festival).
Smart Yield Management: Maximizes revenue by predicting the best price point to fill the last remaining rooms without devaluing the brand.
2. Complex & Multi-Unit Reservations
Unified Group Booking: Solves the technical challenge of booking multiple room types (e.g., "2 Family Suites + 1 Single Room") in a single transaction flow.
Split-Payment Architecture: Allows group travelers to split the bill seamlessly during the booking phase.
3. Hyper-Personalized Upsell Flow
Contextual Add-ons: Instead of generic offers, the system suggests specific upsells based on the guest profile (e.g., suggesting a "Couples Spa Package" for a 2-person booking vs. "Extra Bed" for a family booking).
Inventory Synchronization: Real-time sync ensures that if a guest books a "Champagne on Arrival" package, the kitchen inventory is instantly updated.
🤖 AI-Powered City Guide & Recommendation Engine
Transforming the "City Guide" from a static list into an active AI Concierge:
Context-Aware Recommendations: The AI analyzes real-time data to make suggestions.
Example: "It’s raining right now → Recommend the nearby Art Museum."
Example: "It’s 8:00 PM and the guest likes Italian food → Suggest the top-rated pasta spot with available tables."
Behavioral Learning: As the guest interacts with the app (e.g., clicking on hiking tours), the recommendation engine refines future suggestions to match their "Adventure" profile.
🛠Technical Stack
Frontend: Flutter Web (Responsive), Kiosk Mode, experimental builds for WearOS/visionOS.
Backend: Node.js, Firebase Functions, Custom REST APIs.
Database: Cloud Firestore (Real-time sync).
AI/ML: Python (TensorFlow/PyTorch) integrated via microservices.
🔗 Showcase & Impact
Live Demo: app-limacreation.com
Core Value: Eliminates the need for 5 separate subscriptions (Booking Engine, Channel Manager, Concierge App, Housekeeping Software, City Guide) by providing them All-in-One.
Like this project
Posted Aug 2, 2024
From our guest experience in how clients know about the Hotel to City Guide to bring people to the Hotel by the nearby system to match the Hotel for you.
