Lima: Next All In One Hotel Platform

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

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.

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.

Context-Aware Recommendations: The AI analyzes real-time data to make suggestions.

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.

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.

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.