"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
From dynamic pricing and personalised booking engines to AI guest concierge and review intelligence — we build AI systems that lift RevPAR, recover abandoned revenue, and deliver the hyper-personalised experiences that turn first-time guests into loyal advocates.
Wafer-thin margins, demand volatility, booking abandonment, and the expectation of seamless personalisation at scale are testing every operator — while OTA dominance and competitor pricing intelligence compound the pressure.
Static and rule-based pricing strategies leave significant RevPAR on the table. Competitors using AI-driven dynamic pricing outperform traditional rate management by 15–23% in comparable markets.
Travel and hospitality booking journeys see average abandonment rates of 81% — with price uncertainty, friction in the booking flow, and lack of real-time personalisation as the primary drivers.
Guests expect Netflix-level personalisation — yet most hotel and travel brands operate with fragmented guest data siloed across PMS, CRM, loyalty, and channel systems that cannot be reconciled in real time.
Inaccurate demand forecasting leads to costly overbooking situations, distressed inventory giveaways, and last-minute discounting that erodes brand perception and average daily rate simultaneously.
A single percentage point decline in average review score correlates with a 9% drop in conversion rate. Manual monitoring of TripAdvisor, Google, Booking.com, and OTA reviews at scale is operationally infeasible.
Card-not-present fraud, loyalty point theft, and chargeback abuse cost travel and hospitality operators an estimated $25B annually — with chargeback rates in some OTA channels exceeding 3% of gross bookings.
End-to-end AI and technology solutions for hotels, airlines, OTAs, and travel operators — from revenue optimisation and personalised booking to guest intelligence and fraud prevention.
Real-time pricing intelligence that ingests competitor rates, demand signals, event calendars, weather, and booking pace to continuously optimise room rates and ancillary pricing across all channels.
AI-powered booking flows that surface personalised room types, packages, and ancillaries based on guest history, segment, and real-time browsing behaviour — increasing conversion and average booking value.
Conversational AI that handles pre-arrival requests, in-stay queries, dining reservations, and local recommendations — delivering five-star service quality at every scale without additional headcount.
Full-stack revenue management platform integrating demand forecasting, pricing optimisation, and channel strategy — replacing disconnected spreadsheets with a single source of commercial truth.
Automated sentiment analysis across all review platforms that identifies operational trends, routes responses, and benchmarks guest satisfaction against competitive set in real time.
Real-time transaction and booking fraud detection that identifies card-not-present fraud, account takeover, and chargeback abuse — protecting revenue without adding friction to the guest booking experience.
How hotels, airlines, and travel operators used our AI to lift revenue, recover abandoned bookings, and delight guests at scale.
A 42-property independent hotel group using static seasonal rate cards — underperforming the competitive set by 18% RevPAR and losing significant revenue during high-demand event periods.
AI pricing engine deployed across all 42 properties achieved 23% RevPAR uplift in the first 12 months. Average daily rate increased 19%. Revenue during peak event periods up 34% versus prior year.
A mid-scale hotel chain with 81% cart abandonment rate and no structured retargeting capability — losing an estimated £9.2M in direct booking revenue annually to OTAs after initial site visits.
Personalised abandonment recovery system combining email, SMS, and retargeting recovered 41% of abandoned booking sessions. Direct booking revenue increased £3.8M in year one. OTA commission spend reduced 22%.
A luxury resort group managing 8 properties with over 14,000 monthly reviews across TripAdvisor, Google, and OTA platforms — taking 6–8 weeks to identify recurring operational issues from guest feedback.
Review intelligence platform surfaced operational trends within 24 hours. Response time to negative reviews reduced from 11 days to 4 hours. Average TripAdvisor score improved from 4.1 to 4.6 within 9 months. Conversion rate up 8%.
A travel management company processing $340M in annual bookings with a 2.8% chargeback rate — above scheme thresholds — costing $9.5M per year in disputed transactions and penalty fees.
Real-time fraud scoring reduced fraudulent bookings by 78%. Chargeback rate fell from 2.8% to 0.6%. Automated dispute evidence packages reduced resolution time from 28 days to 3 days. Net savings of $7.1M in year one.
Measurable revenue, efficiency, and experience outcomes from AI deployments across hotels, OTAs, and travel operators.
Book a free 45-minute AI discovery session with one of our travel & hospitality AI specialists.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
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