This is like giving a hotel restaurant a smart co‑pilot that watches sales, inventory, and guest behavior, then quietly advises what to serve, how much to buy, and when to promote things to make more money and waste less food.
Hotel food & beverage operations are typically run on gut feel and historical spreadsheets, leading to over‑ordering, food waste, stockouts, mispriced menus, and missed revenue from poorly targeted promotions. This solution uses AI to continuously optimize menus, pricing, purchasing, and staffing based on real demand data across the hotel’s systems.
Deep integration with hotel/POS/PMS ecosystems and proprietary transaction data from many hotel clients, plus embedded workflow in existing F&B operations software, creating switching costs and a data network effect over time.
Hybrid
Time-Series DB
Medium (Integration logic)
Data quality and integration from many hotel POS/PMS systems; model performance is constrained by how clean, granular, and timely the sales and inventory feeds are, and by per‑property customization needs.
Early Majority
Positioned specifically around AI‑driven optimization of hotel F&B (not just generic POS or back‑office), leveraging Shiji’s existing hotel tech footprint and data to drive menu engineering, demand forecasting, and cost control inside hotel restaurants and bars.