Operations & Logistics

Hospitality Operations Suite

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

10

Hotels

4,000

Weekly visitors

Auto

Scheduling

The challenge

Ten properties ran operations on spreadsheets and ad-hoc messaging — scheduling, dispatch, and workload balancing were entirely manual and broke at peak occupancy.

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

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