Hospitality Operations Suite
Automated workflows and AI-driven scheduling across 10 hotels handling 600–4,000 weekly visitors.
Hotels
10
Weekly visitors
4,000
Manual schedules
0
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.
What we built
We built a real-time operations suite with automated workflows, queue management, and AI-assisted scheduling that accounts for occupancy, staffing, and task priority.
The outcome
Scheduling moved from manual to automated, peak-period dispatch became real-time, and managers gained a single operational view across all ten properties.
Stack
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.
Building something like this?
We'll review scope, architecture, and where AI fits, and reply within one business day.
Start a projectHow it's built
Real-time dispatch is driven by an event queue so tasks route to the right staff instantly.
Workforce scheduling weighs occupancy forecasts against staffing constraints.
A single multi-tenant model serves all ten properties with per-property isolation.
More case studies
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Tell us what you're building. We'll review scope, architecture, and where AI fits, and reply within one business day.