1. Real-time comparison (up to 14%)
The same request is sent to 150+ sites from multiple agencies. The gap between the first quote and the best eligible offer becomes savings.
Corporate travel savings calculator
Enter your monthly travel spend and see the savings potential of agency competition.
Estimated savings: 31%
- Current monthly spend
- $120,000
- Current yearly spend
- $1,440,000
Estimated monthly savings
$37,200
Estimated yearly savings
$446,400
- Agency competitionup to 14%
- Policy enforced at purchaseup to 8%
- Recovered unused ticketsup to 5%
- AI-monitored price dropsup to 4%
Personalized savings report
Generate a PDF with your estimate and share it with finance, HR or leadership.
Value carried over from the home calculator — adjust it to refine the estimate.
Estimate based on up to 31% savings from agency competition, policy enforced at purchase, recovered unused tickets and AI price-drop monitoring. Actual results vary by travel profile.
How savings of up to 31% are calculated
The estimate is not a random number: it adds up four measurable effects in every corporate booking inside the Loupit marketplace.
The calculator formula
Savings = Monthly spend × (competition 14% + policy 8% + unused tickets 5% + AI price drop 4%)
Each percentage is a ceiling observed in real comparison scenarios. The calculator applies the sum to the spend you enter and projects monthly and yearly results.
2. Policy applied at checkout (up to 8%)
Limits per route, class and advance purchase block out-of-policy bookings, removing overspend before approval.
3. Recovered unused tickets (up to 5%)
Credits from unflown tickets are tracked and reused on the next booking instead of expiring.
4. AI-monitored price drops (up to 4%)
SkyAlert watches the fare after ticketing and suggests instant rebooking whenever the new price offsets the change fee.
Worked examples
Three scenarios with fictional figures so you can check the math line by line.
Company spending USD 50k/month
About 30 domestic trips per month, booked by email with a single agency.
| Savings driver | Current scenario | With Loupit | Savings |
|---|---|---|---|
| Agency competition | $50,000 | $43,000 | $7,000 |
| Policy applied at checkout | $43,000 | $39,000 | $4,000 |
| Unused tickets | $39,000 | $36,500 | $2,500 |
| Price drop (SkyAlert) | $36,500 | $34,500 | $2,000 |
Company spending USD 120k/month
Domestic and international trips, hotel and car rental in the same approval flow.
| Savings driver | Current scenario | With Loupit | Savings |
|---|---|---|---|
| Agency competition | $120,000 | $106,800 | $13,200 |
| Policy applied at checkout | $106,800 | $97,200 | $9,600 |
| Unused tickets | $97,200 | $91,200 | $6,000 |
| Price drop (SkyAlert) | $91,200 | $86,400 | $4,800 |
Company spending USD 300k/month
Operation with cost centers, manager approval and expense reconciliation.
| Savings driver | Current scenario | With Loupit | Savings |
|---|---|---|---|
| Agency competition | $300,000 | $270,000 | $30,000 |
| Policy applied at checkout | $270,000 | $252,000 | $18,000 |
| Unused tickets | $252,000 | $241,500 | $10,500 |
| Price drop (SkyAlert) | $241,500 | $232,500 | $9,000 |
How the reports work
Every calculated saving is recorded in the reports, with a decision trail ready for audit.
Record per request
Each booking stores compared offers, winning agency, amount paid and savings achieved.
Spend by cost center
Indicators per team, project and traveler to see where savings come from.
Policy compliance
Share of in-policy bookings, approved exceptions and who approved each one.
Export and integrate
CSV for Excel, executive PDF for leadership and JSON for BI, API or webhooks.
Download a sample report to see exactly what is shown after a purchase.
Want to turn this estimate into real savings?
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