Hospitality Operations Suite

Automated workflows and AI-driven scheduling across 10 hotels handling 600–4,000 weekly visitors.

10

Hotels

4,000

Weekly visitors

0

Manual schedules

The challenge

Ten properties ran operations on spreadsheets and ad-hoc messaging; peak occupancy meant 600–4,000 weekly visitors with zero real-time visibility. Manual scheduling took 15 hrs/week per property and caused 22% overtime overruns.

The solution

We built a real-time operations suite with automated workflows, queue management, and AI-assisted scheduling that accounts for occupancy, staffing, and task priority.

Architecture

01

Real-time dispatch is driven by an event queue so tasks route to the right staff instantly.

02

Workforce scheduling weighs occupancy forecasts against staffing constraints.

03

A single multi-tenant model serves all ten properties with per-property isolation.

AI component

LLM-assisted scheduling proposes shift plans from occupancy forecasts and historical workload, which managers approve or adjust. Decision support, not a black box.

Industry

Operations & Logistics


Results

Scheduling moved from manual to automated, peak-period dispatch became real-time, and managers gained a single operational view across all ten properties.


Tech stack

Node.js
PostgreSQL
Redis
OpenAI
Docker

Building something like this?

We'll review scope, architecture, and where AI fits, and reply within one business day.

Start a project