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.