Delyon Group
Guest services
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
- ~15% increase in average room rate
- Operational staff reduced from 18 to 12 people
AI answers name three hotels, not ten. Forrest went unmentioned for broad searches — now it appears near the top, and those visitors book.
An independent mid-market hotel in Canberra competing for direct bookings against larger chain properties in an OTA-dominated market.
As AI assistants increasingly answer travel queries by naming three or four properties rather than listing ten, hotels those models don't mention...
“Our direct bookings have increased, which has been such a battle in a market the OTAs dominate, and the best part is the loyalty we gain from direct bookers. The relationship is stronger on both sides.”
Hotel and serviced apartment accommodation provider in Canberra, Australia.
Hospitality data intelligence platform providing market benchmarking, rate shopping, and business intelligence for hotels worldwide.
Forrest Hotel & Apartments's AI visibility is part of this use case:
Related implementations across industries and use cases
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Routine phone queries diverted staff from guests. Now, a multilingual voice AI fields first contact and texts prefilled booking links.
Repetitive calls distracted from check-ins. An AI agent now resolves routine queries and books dining, freeing staff for in-person guests.
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
Every week: pull from Zendesk, pull from Rippling, rebuild the Sheet — and start over when the data changed. Now a dashboard does it live.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Campaign performance scattered across a dozen tools, stitched together by hand. MINE collapsed it into a single trusted conversation.
Some member headshots looked genuinely unusable. Runway transformed each into broadcast-ready stills—no cross-country studio shoot required.
AI answers name three hotels, not ten. Forrest went unmentioned for broad searches — now it appears near the top, and those visitors book.
An independent mid-market hotel in Canberra competing for direct bookings against larger chain properties in an OTA-dominated market.
As AI assistants increasingly answer travel queries by naming three or four properties rather than listing ten, hotels those models don't mention...
“Our direct bookings have increased, which has been such a battle in a market the OTAs dominate, and the best part is the loyalty we gain from direct bookers. The relationship is stronger on both sides.”
Hotel and serviced apartment accommodation provider in Canberra, Australia.
Hospitality data intelligence platform providing market benchmarking, rate shopping, and business intelligence for hotels worldwide.
Forrest Hotel & Apartments's AI visibility is part of this use case:
Related implementations across industries and use cases
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Routine phone queries diverted staff from guests. Now, a multilingual voice AI fields first contact and texts prefilled booking links.
Repetitive calls distracted from check-ins. An AI agent now resolves routine queries and books dining, freeing staff for in-person guests.
Every data question routed through engineers. Now 800+ users — 70% non-technical — query a 200-country travel dataset in plain language.
Every week: pull from Zendesk, pull from Rippling, rebuild the Sheet — and start over when the data changed. Now a dashboard does it live.
Manual prospecting across multiple tools delayed first contact. Now, an agent curates warm leads, so reps start their day ready to sell.
Endless phone tag bottlenecked 10,000 yearly hires. Now, AI screens and schedules via text, freeing managers for in-person interviews.
Campaign performance scattered across a dozen tools, stitched together by hand. MINE collapsed it into a single trusted conversation.
Some member headshots looked genuinely unusable. Runway transformed each into broadcast-ready stills—no cross-country studio shoot required.