AI That Tells You Exactly What to Do
Dashboards are great, but who has time to analyze them? HotelX Intelligence does the thinking for you and gives you a short list of specific actions—ranked by how much money each one will make.
Not vague suggestions. Specific moves.
- "Consider adjusting your pricing strategy"
- "You may want to review your marketing mix"
- "Occupancy could potentially be improved"
- "Raise weekend rates by 12% → +$3,200 this weekend"
- "Move $500 from Google Ads to Facebook → save 3x"
- "Email last year's July guests now → expect 28 bookings"
What recommendations look like
Demand is 40% above normal. Competitor hotels are sold out. Local concert on Saturday.
Tuesday occupancy has dropped 18% this month. You have 1,247 past guests who typically book midweek.
You're paying $3.20 per click for people searching your hotel name. They'd find you anyway.
You'll sell out anyway. Direct bookings pay $34 more per night on average. Keep the inventory.
How the AI decides what to recommend
Looks at your current performance, historical patterns, market conditions, and competitor behavior.
Estimates exactly how much money each action will make (or save) based on similar situations in the past.
Puts the biggest opportunities at the top. You always know what to do first.
The AI explains itself
Every recommendation shows its reasoning. You can see why the AI thinks this will work, what data it's based on, and how confident it is. You're always in control—the AI suggests, you decide.
- • 95% confidence = Very reliable. Similar situations worked 19 out of 20 times.
- • 85% confidence = Likely to work. Some uncertainty in the data.
- • 70% confidence = Worth considering. The AI isn't sure but thinks it's worth trying.
- • The AI learns from your decisions. If you ignore a recommendation and it would have worked, it adjusts.
Real example: Following the AI's advice
The recommendation: "Increase weekend rates by 18% and pause your 15% weekend promotion. Demand is 40% above normal, competitors are up 12%, and there's a major event nearby."
What the manager did
- • Checked competitor rates (AI was right)
- • Raised rates from $189 to $223
- • Paused the weekend discount
- • Added a "Premium Weekend" package with breakfast
What happened
- • Occupancy: 91% (AI predicted 89%)
- • Revenue exceeded forecast by $780
- • No complaints about higher prices
- • AI confidence increased for similar events
The AI made the recommendation on Tuesday. The manager acted on Wednesday. By Sunday, they'd made an extra $4,000 they would have left on the table.