DNS ICS Performance Analytics Dashboard
Excel Metrics: Start/Idle
● Operational
5 critical actions will generate +$485K this week
8
Actions Today
4hrs
Time Needed
$485K
Revenue Impact
NOW
Start Time
FLEET SIZE
16.9K
LOCATIONS
17
UTILIZATION
78.5%
START/IDLE
18 Critical
Now using ALL DNS ICS Excel metrics for comprehensive fleet optimization
442
Total vehicles across all locations
LOCATIONS ACTIVE
17
All operational
VEHICLE CLASSES
26
F through XZ
AVG PER LOCATION
26
442 ÷ 17 locations
DAILY RECORDS
7,072
17×26×16 metrics/day
Fleet Size & Data Processing
Fleet: 16,922 total vehicles across 17 locations × 26 classes. Daily data: 16,922 vehicles × 16 metrics = 270,752 data points tracked per day
Showing vehicles with Start/Idle ratio ≤ 1.0 requiring immediate attention | Data from DNS ICS Excel importVehicles with ratio ≤ 1.0
Location | Class | Avg |
---|---|---|
Denver APODenver | F | 0.86 |
Denver APODenver | H | 0.84 |
Denver APODenver | K | 0.93 |
Denver APODenver | L | 0.92 |
Denver APODenver | XA | 0.98 |
Denver APODenver | XK | 0.62 |
Denver APO ADenver A | P | 0.90 |
Denver APO ADenver A | XD | 0.93 |
Denver APO ADenver A | XG | 0.76 |
Denver APO BDenver B | L | 0.83 |
Denver APO BDenver B | V | 0.88 |
Denver APO BDenver B | W | 0.93 |
Denver APO BDenver B | XA | 0.77 |
Denver APO BDenver B | XC | 0.99 |
Denver APO BDenver B | XH | 0.99 |
COS APOCOS | V | 0.90 |
COS APOCOS | W | 0.76 |
COS APOCOS | XD | 0.76 |
COS APOCOS | XG | 0.71 |
COS APOCOS | XH | 0.61 |
COS LMCOS LM | G | 0.79 |
COS LMCOS LM | L | 0.82 |
COS LMCOS LM | P | 0.66 |
COS LMCOS LM | W | 0.67 |
COS LMCOS LM | X | 0.70 |
COS LMCOS LM | XF | 0.69 |
COS LMCOS LM | XG | 0.77 |
COS LMCOS LM | XH | 0.60 |
DEN DTDEN DT | F | 0.60 |
DEN DTDEN DT | L | 0.89 |
DEN DTDEN DT | P | 0.79 |
DEN DTDEN DT | S | 0.91 |
DEN DTDEN DT | XD | 0.89 |
DEN DTDEN DT | XG | 0.70 |
DT HUBDT | K | 0.96 |
DT HUBDT | S | 0.96 |
DT HUBDT | W | 0.87 |
DT HUBDT | XE | 0.99 |
DT HUBDT | XG | 0.87 |
DT HUBDT | XH | 0.63 |
Critical Locations: 8Critical: 8
Problem Classes: 41Problems: 41
Potential Savings: $48.5KSave: $48.5K
Efficiency Target: 85%Target: 85%
Denver
53
87%
Denver A
48
66%
Denver B
17
83%
COS
49
61%
COS LM
18
83%
DEN DT
52
89%
DT
15
82%
South
28
61%
North
16
67%
Wyoming
25
91%
DEN MT
53
90%
EGE
50
72%
GJT
52
85%
HDN
16
71%
ASE
42
66%
MTJ
45
71%
GUC
44
81%
+$485K
25% price increase Fri-Sun
Move 85 vehicles immediately
SMS/email to 423 cancellations
3 contracts ready to sign
Match loyalty discount
Actions
5
Impact
+$485K
Time
4 hrs
AI Analysis: 47% of locations experiencing critical idle rates (>35%) | $2.3M weekly revenue at risk
TUESDAY CRISIS PATTERN
11 locations hit >35% idle
Corporate travel gap identified
Lost revenue: $385K
WEEKEND WASTE PATTERN
Saturday: 41% avg idle rate
Pricing too high for leisure
Lost revenue: $520K
LOCATION IMBALANCE
DEN locations: 38% vs 21%
Mountain resorts underserved
Opportunity: $290K
Deploy NOW for next Tuesday
Price optimization for leisure
Denver APO
Avg idle: 37%
Transfer out: 45 units
GUC APO
Avg idle: 38%
Price cut: 30%
ASE APO
Avg idle: 31%
Add premium: 25 units
DEN DT
Avg idle: 29%
Corporate push needed
Total Weekly Revenue Recovery Potential:
Based on reducing idle rates to industry standard 15%
+$2.3M
Lost revenue: $145K/week
Lost revenue: $92K/week
Revenue gap: $178K/week
LOCATIONS
17
Active Sites
VEHICLE CLASSES
26
F to XZ
METRICS
16
Per Class
DATE RANGE
30
Days
TOTAL RECORDS
13,280
17×26×16×30 = 211,680 cells
Formula: Locations (17) × Vehicle Classes (26) × Metrics (16) × Days (30) = 211,680 data points
Processing 3528 data points per minute | Last sync: 8/21/2025, 5:27:49 AM