Fill rooms direct.
Delight every guest.
Grow RevPAR.
Independent hotels, B&Bs, and boutique properties lose thousands annually to OTA commissions, manual pricing, and missed upsell moments. ARIA finds every gap and automates the systems that drive direct bookings and guest loyalty.
Where hospitality businesses lose revenue and guests
Booking response times cost revenue
Hotels and B&Bs that respond to direct booking enquiries within 5 minutes convert at 4× the rate of those that take an hour. Without AI-powered instant response, every delayed reply is a booking lost to OTAs or competitors.
OTA dependency erodes margins
Independent hospitality businesses pay 15–25% OTA commission on every booking. AI-driven direct booking campaigns — retargeting past guests, personalised email sequences, loyalty incentives — can shift 20–30% of bookings to direct channels.
Yield management is manual and reactive
Most independent properties set rates weekly or monthly based on gut feel. AI-driven dynamic pricing — adjusting rates hourly based on demand signals, local events, and competitor rates — increases RevPAR by 18–25%.
Guest experience gaps hurt reviews
A single unanswered complaint or missed special request can result in a 1-star review that costs 30+ future bookings. AI-powered guest communication catches issues before checkout and automates review solicitation at the optimal moment.
Six AI systems every hospitality business should have running
Direct booking & OTA displacement
"AI-powered retargeting campaigns to past guests, combined with a personalised 'book direct and save' offer sequence, can shift 20–30% of OTA bookings to direct channels within 6 months — saving $15–25k annually in commission."
Dynamic pricing & yield management
"AI monitors competitor rates, local event calendars, and demand signals to adjust your pricing in real time. Properties that implement dynamic pricing see RevPAR increase by 18–25% in the first year without increasing occupancy."
Guest communication & experience automation
"Automated pre-arrival messages, in-stay check-ins, and post-departure review requests — all personalised to the guest's booking details — increase review volume by 40% and catch service issues before they become public complaints."
Housekeeping & operations optimisation
"AI-driven housekeeping scheduling based on real-time occupancy, checkout times, and staff availability reduces room turnaround time by 25% and eliminates the labour waste of cleaning unoccupied rooms ahead of schedule."
Upsell & ancillary revenue automation
"AI identifies the optimal moment to offer room upgrades, spa packages, dining reservations, and local experiences — typically 48–72 hours before arrival. Properties using automated upsell sequences generate $28–45 additional revenue per stay."
Reputation management & review automation
"AI monitors all review platforms in real time, drafts personalised responses within minutes of posting, and alerts management to negative reviews before they compound. Properties with AI-managed reputation see a 0.3–0.5 star improvement within 90 days."
What transformation looks like, month by month
"The hospitality businesses that see the fastest ROI from AI are those that start with dynamic pricing and direct booking campaigns simultaneously. The combined effect — higher rates and lower commission — typically delivers $30–50k in annual improvement for a 20-room property."
| Phase | Operations | Revenue | Guest Experience | Growth |
|---|---|---|---|---|
| Before ARIA | Manual rate setting, OTA-dependent bookings | 15–25% OTA commission on 70% of bookings | Guest issues discovered after checkout | Review solicitation ad hoc |
| Month 1–2 | Dynamic pricing live, direct booking campaign launched | RevPAR up 12%, OTA share drops 8% | Pre-arrival and post-stay sequences automated | Review volume up 30% |
| Month 3–6 | Housekeeping optimisation and upsell sequences live | RevPAR up 20%, ancillary revenue up $35/stay | Guest satisfaction score up 18 points | Direct bookings up 22% |
| Month 6–12 | Full operations automation across all departments | Total revenue up 28–35% | NPS up 24 points, review rating up 0.4 stars | OTA commission costs down $18k annually |
Industry averages vs. ARIA-optimised properties
"The RevPAR gap between AI-optimised and traditionally managed properties is now 18–25 percentage points. For a 20-room property averaging $150/night, that's $200–280k in additional annual revenue. The audit pays for itself in the first hour of dynamic pricing."
| Metric | Industry Avg | With ARIA | Improvement |
|---|---|---|---|
| OTA booking share | 65–75% | 45–55% | ↓ 25% |
| RevPAR growth (YoY) | 3–5% | 18–25% | ↑ 400% |
| Review response time | 3–5 days | < 2 hrs | ↓ 95% |
| Ancillary revenue/stay | $8–12 | $35–45 | ↑ 280% |
| Direct booking conversion | 1.8–2.2% | 3.5–4.5% | ↑ 100% |
| Guest satisfaction (NPS) | 32–38 | 54–62 | ↑ 60% |
Find out exactly how much revenue your property is leaving on the table.
$50. Six AI analysts. 50+ pages. Delivered in 2–3 hours.