Case studies

Hospitality

Hospitality – Airport Hotel Flag: F&B Labor & Inventory AI

Timeline: Build: 7 weeks. Deploy: outlet-by-outlet. Optimization: 6 weeks flight models.

Business overview

Industry: airport hotel. Complexity: volatile demand.

Common pain points

Static prep, labor mismatch, waste.

Full AI automation system (PrimeAxiom solution)

Flight Agent, Demand Agent, Prep Agent, Labor Agent, Waste Agent.

Automation workflow (detailed system flow)

1. Flight feed.
2. AI predicts covers.
3. Prep lists.
4. Shift offers to staff.
5. Inventory pulls.
6. Spoilage risk alerts.
7. Continuous learning.

AI agents & logic

Signal Agent, Forecast Agent, Ops Agent.

Technical architecture

Real-time APIs, kitchen printers integration, lightweight ML.

Tools & integrations

Flight APIs, labor system, POS, PostgreSQL, OpenAI

Results

Food waste −24%; labor cost as % of F&B revenue −1.9 pts; stockouts during spikes −56%; guest satisfaction on F&B +22.

Timeline

Build: 7 weeks. Deploy: outlet-by-outlet. Optimization: 6 weeks flight models.