Mews Debuts Business Intelligence Tool to Turn Hotel Data Into Actionable Insights
Mews has launched Mews BI, a native analytics layer within its hospitality OS that brings real-time, AI-driven insights to hotel F&B and operations. By unifying data and eliminating platform switching, hotel teams can act faster on channel mix, margin, and throughput to protect delivery speed and profitability across outlets.
Mews launches native BI to close the gap between hotel data and action
Mews has introduced Mews BI, a business intelligence layer embedded directly into its hospitality operating system. By surfacing real-time, AI-driven insights without forcing teams to switch tools, the platform aims to convert fragmented hotel and F&B data into faster, better operational decisions. For hotel groups overseeing multiple outlets-restaurants, cafés, room service, banqueting, and delivery-the ability to align property management, POS, and operations data inside a single environment can materially improve both guest experience and unit economics.
Why a native BI layer matters for Hotel F&B and delivery
Hotel F&B teams typically juggle multiple dashboards across POS, delivery aggregators, reservations, and labor systems. A native analytics tool reduces friction by aligning metrics and context in one place, so leaders can move from lagging reports to real-time action. In practice, this means managers can monitor outlet performance, identify margin leakage, and respond to demand shifts as they happen-whether that’s reallocating riders for peak delivery windows, adjusting prep stations to relieve kitchen bottlenecks, or rebalancing menu contribution when ingredient costs spike.
High-impact use cases operators can activate now
Beyond reporting, the real value lies in faster decisions across the F&B operation:
- Channel mix optimization: Compare performance across in-venue, room service, and third-party delivery to tune pricing, promos, and capacity.
- Menu contribution and COGS tracking: Highlight low-margin items, portion variance, and waste drivers to improve gross profit per order.
- Labor and throughput: Correlate staffing levels with prep times and on-time delivery to right-size schedules by daypart.
- Forecasting and procurement: Use demand patterns to inform ordering, prep plans, and production par levels for events and banqueting.
- Guest value and upsell: Identify attach-rate opportunities (beverages, sides, desserts) to lift average check without slowing operations.
Implications for MENA hotel operators
In the MENA Region-where hotels often run multi-venue F&B portfolios and experience sharp swings during events, holidays, and peak tourism-real-time visibility is especially valuable. A centralized BI layer can help corporate and property teams benchmark outlets, enforce brand standards, and execute localized tactics quickly. For delivery-heavy properties in major cities, tying operational signals (prep time, order volume, rider wait) to financial outcomes (AOV, GP%, promo ROI) enables targeted improvements that protect margins while sustaining speed.
Getting value from day one: a pragmatic rollout
To accelerate ROI, start with a focused metric set that aligns finance and operations: AOV, gross profit after delivery and packaging, on-time delivery rate, prep time by station, waste %, labor cost per order, and promo payback. Clean source data (SKU-level mapping and recipe accuracy) before building dashboards, then pilot with one high-volume outlet to validate actions and playbooks. Train managers on decision cadence-daily standups for ops metrics and weekly reviews for mix and margin-so the insights reliably translate into faster service, higher guest satisfaction, and healthier contribution per order.
Source: Hotel Technology News