Performance Diagnostics

We isolate revenue components—room rates, F&B covers, banquet yield, digital delivery, loyalty uplift—using variance trees and regression overlays. The decomposition distinguishes volume vs pricing effects, enabling reallocation toward high-yield revenue clusters with measurable lifetime value impact.

A dynamic gross-to-net profitability bridge quantifies dilution across direct operating expenses, commissions, chargebacks, and shrinkage. Leveraging AI-assisted ledger parsing, we surface hidden drags on margin and build custom playbooks for contribution margin recovery at outlet and portfolio level.

We conduct granular benchmarking of outlets, properties, or concepts using weighted KPI matrices—RevPAR, GOPPAR, prime cost ratios, seating efficiency. This enables micro-segmented turnaround plans, distinguishing underperformance due to structural inefficiency vs. localized market dynamics.

Anomaly detection models trained on AP data, GRNs, and time-motion logs surface silent cost inflators—ghost vendors, inventory creep, duplicate SKUs. We quantify friction losses and hardwire rules into budget logic for sustained cost containment.

We assess operational throughput by modeling time, asset, and staff utilization across check-in desks, kitchens, tables, and delivery fleets. Simulation modeling identifies latent capacity, unlocks scheduling flex, and supports ROI justification for automation or footprint consolidation.

We backtest demand models across room bookings, walk-ins, pre-orders, and events using probabilistic forecasting (ARIMA, Prophet, LSTM). Seasonality, promo effects, and volatility triggers are extracted to recalibrate demand-supply matching and inventory commitment logic.

We run contribution margin analysis and attach rate modeling across F&B SKUs. AI-enhanced heatmaps surface underperforming items by meal period, channel, and table configuration. Menu optimization is linked to prep-labor sync, margin uplift, and guest ordering pathways.

IoT sensor logs and POS timestamps are mined to chart cycle times across kitchen, housekeeping, and guest check-ins. Bottlenecks are visualized via Sankey diagrams and digital twin simulations to identify drag points and rebalance throughput paths.

We synthesize outputs into a quantified growth roadmap using an impact-feasibility matrix. Levers include price, throughput, new format rollout, channel partnerships, or cost delayering. Strategic options are stress-tested for capital intensity, change friction, and internal execution capability.