Most hotels are doing AI backwards
A five-step framework urging hoteliers to identify high-friction, measurable workflows before selecting AI tools, rather than deploying technology in search of a problem.
A five-step framework urging hoteliers to identify high-friction, measurable workflows before selecting AI tools, rather than deploying technology in search of a problem.
Forward-thinking hotels are using technology to align staffing with forecast demand upfront rather than managing labor reactively after schedules are set.
Vendor sprawl in hotels drives hidden costs: IT teams spend 25% of time on vendor coordination, while fragmented systems waste up to 25% of tech budgets and accelerate negative guest reviews.
Customer case studies from Inspire 2026 conference show properties achieving 50% maintenance efficiency gains, 25% faster kiosk transactions, and record booking revenue.
The author critiques Choice Hotels' six AI tools for prioritizing owner ROI over guest experience, arguing that technology should enhance human moments that create loyalty.
Former citizenM CIO Mike Rawson explains how the brand grew from 13 to 40 hotels while achieving industry-leading NPS through strategic automation that enhances rather than replaces human touchpoints.
The digital platform helped citizenM reduce linen inventory from 8-9 PAR to 3-4 PAR, saving $680K-$1M in procurement costs across 17 hotels.
The platform tracks automation performance and forecasts ROI, with OTA VCC reconciliation alone potentially costing properties 1-2% of OTA revenue annually when untracked.
Analysis of 1,712 conversations shows 17% of guest inquiries receive no response, with 27% taking over an hour to answer.
Analysis explores how short GM tenure cycles create operational friction with long-tenured hourly staff, leading to service degradation in luxury hotels.
The author argues hotels should use AI to eliminate mundane integration tasks between disconnected systems, freeing staff for high-touch guest service work.
Newport Hospitality Group executive argues hotel F&B outlets need strategic management focus to drive guest preference and measurable revenue performance.
Author identifies seven common service barriers that frustrate customers and provides actionable strategies to streamline operations.
Joint research from RMS and RoomPriceGenie reveals 42% of hospitality professionals spend 1-3 hours weekly fixing system issues caused by poor integrations.
Hotels can reduce linen inventory from 6+ PAR levels to 3-4 while cutting annual loss rates from 15-20% to 3-5% using RFID tags and AI forecasting.
Industry commentary argues hotels lose revenue through operational friction, poor content, and system gaps that compound into margin pressure.
The mobile device combines xnPOS software with Elavon payment processing on Castles Technology hardware, allowing hotel staff to take orders and process payments anywhere on property.
Academic framework proposes concentrating human staff in high-value moments while AI handles routine tasks, challenging the assumption that more human interaction equals better service.
The article argues AI will reduce routine human interactions in hotels rather than create more guest contact time, forcing operators to strategically deploy human value where it matters most.
Deep Blue Hotel Hot Springs implemented eight Agilysys solutions including PMS, POS, and spa management to unify operations across its wellness resort.