🎯 Demo Mode: This is a demonstration with sample data.
Analytics Dashboard
Real-time Travel Data Analysis
Analytics Dashboard
Travel Data Analysis
Data period:1/1/2024 - 6/30/2024
Select Custom Date Range
-43% below target-43%
8 days
Average Lead Time
Target: 14+ days
quarterly at 75% on Roamrquarterly
$205,953
Potential Savings
Partial Roamr implementation
6% of total6%
31
Last Minute Bookings
0-3 days lead time
current ratecurrent
78%
Policy Compliance
14+ day bookings
Complete Savings Calculator
Lead time optimization
Adjust the slider below to set your company's minimum booking policy. See how much you can save by requiring employees to book flights further in advance.
Current company average: 8 days
14
days minimum
8 days
Current average19 days
Middle30 days
Perfect
Current average19 days
Middle30 days
Perfect
Policy impact analysis
Setting a 14-day minimum policy vs current 8.0-day average. Gap: 6.0 days improvement. This will require employee training but generate significant savings.
Lead time policy savings
$67,500
Quarterly
Per quarter at 14-day policy
$270,000
Annual
Total yearly impact
Employee Training Needs
11
Employees
Need policy training
Roamr stays platform
Save 30% of your nightly hotel spend with Roamr Stays
$105,328
Total quarterly savings
Accommodation mixAdjust your implementation strategy
Hotels
25%
Traditional hotels
Roamr stays
75%
Roamr stays
Total combined savings
$105,328
Quarterly
$421,312
Annual
Lead time policy:
$67,500 quarterly
$270,000 annual
Roamr stays (75%):
$37,828 quarterly
$151,312 annual
Ready to explore employee earning potential?
Roamr stays dashboardDepartment Performance Analysis
Viewing:Departments
Total Departments
4
Avg Lead Time (days)
Compliance Rate (%)
Spending Breakdown
Engineering
$180,000
Flights$0 (0%)
Accommodation$0 (0%)
Ground Transport$180,000 (100%)
Sales
$265,000
Flights$0 (0%)
Accommodation$0 (0%)
Ground Transport$265,000 (100%)
Marketing
$120,000
Flights$0 (0%)
Accommodation$0 (0%)
Ground Transport$120,000 (100%)
Operations
$95,000
Flights$0 (0%)
Accommodation$0 (0%)
Ground Transport$95,000 (100%)
⚠️ Booking Risk Distribution
0-3 days
8%4-7 days
16%8-13 days
20%14+ days
56%Monthly Performance & Spend Analysis
Lead Time Performance (Days)
Spend & Potential Savings ($)
Average Lead Time
Target (14 days)
Total Spend
Potential Savings
Top Flight Routes
| Route | Freq | Price | Lead | Savings |
|---|---|---|---|---|
NYC → SF | 85 | $450 | 6d | $12,000 |
LA → NYC | 72 | $420 | 8d | $9,800 |
CHI → NYC | 68 | $380 | 5d | $8,500 |
SF → LA | 65 | $320 | 7d | $7,200 |
NYC → BOS | 58 | $280 | 9d | $6,100 |
Top Hotel Destinations
| Destination | Bookings | Avg/Stay | Lead | Nights | Avg/Night |
|---|---|---|---|---|---|
San Francisco | 245 | $820 | 8d | 2.5 | $328 |
New York | 220 | $890 | 6d | 2.2 | $405 |
Los Angeles | 185 | $720 | 9d | 2.8 | $257 |
Chicago | 165 | $380 | 7d | 2 | $190 |
Boston | 145 | $360 | 10d | 1.8 | $200 |
Employees Requiring Immediate Attention
JS
Jane Smith
Sales
Routes: CHI → NYC, SF → LA
1 days
Avg lead
22
Bookings
100%
Out of policy
$5200
Excess cost
JD
John Doe
Engineering
Routes: NYC → SF, LA → NYC
2 days
Avg lead
15
Bookings
93%
Out of policy
$4500
Excess cost
Travel Efficiency Champions
BS
🥈
Bob Smith
Sales Manager
$7200
saved
AJ
🏆
Alice Johnson
Senior Engineer
$8500
saved this quarter
CD
🥉
Carol Davis
Marketing Lead
$6800
saved
#1
🏆
AJ
Alice Johnson
Engineering
15 days
Avg lead time
$8500
Total saved
95%
Efficiency
#2
🥈
BS
Bob Smith
Sales
18 days
Avg lead time
$7200
Total saved
92%
Efficiency
#3
🥉
CD
Carol Davis
Marketing
16 days
Avg lead time
$6800
Total saved
88%
Efficiency
#4
🏆
DW
David Wilson
Operations
20 days
Avg lead time
$5900
Total saved
85%
Efficiency
#5
🥈
EB
Eva Brown
Engineering
22 days
Avg lead time
$5500
Total saved
90%
Efficiency
This month's achievements
Perfect Planners
20+ day average
12 employees
Consistency Kings
No late bookings
8 employees
Improvement Champions
+5 days vs last month
15 employees
Department Challenge
Operations
93%
Marketing
86%
Sales
79%
Engineering
70%