AVIS AI

AI-Powered Predictive Analytics

Real-time predictions with before/after impact analysis

AI Confidence

92.5%

LIVE: AI detected $1.2M revenue opportunity in next 7 days Fleet utilization predicted to hit 94% this weekend 45 vehicles need immediate rebalancing

AI Predictions & Impact Analysis

Dynamic Pricing Opportunity

Next 7 Days

+$425K

AI Prediction:

Weekend demand surge of 35% expected due to events + weather

CURRENT STATE

Flat pricing: $65/day

Utilization: 76%

Rev: $286K

WITH AI PRICING

Dynamic: $65-95/day

Utilization: 82%

Rev: $711K

Confidence

89%

Fleet Rebalancing Alert

Critical - Today

45 Units

AI Prediction:

ASE will hit 94% capacity by Friday without intervention

Denver APO 58% util
ASE APO 94% util

Impact: Prevent $125K lost revenue from turndowns

Weekend Demand Surge

Opportunity Alert

+35% Demand

AI Prediction:

Major event + perfect weather will drive 35% demand surge

SUVs +45% demand
Luxury +38% demand
Economy +22% demand

Revenue Opportunity: $185K additional weekend revenue

Start/Idle Ratio Prevention Intelligence

AI-Powered Prevention Strategies for Ratios ≤1.0

CRITICAL METRIC

1.0

Target Ratio

Current Risk Analysis

Locations at Risk

7

Ratio ≤1.0

Vehicles Affected

142

Need rebalancing

Revenue at Risk

$385K

Next 7 days

Urgency Level

HIGH

Act within 24hrs

AI-Recommended Prevention Strategies

1. Predictive Fleet Rebalancing

Proactively move vehicles before ratio drops below 1.0

95% Success

BEFORE (Current)

• Reactive transfers

• Ratio hits 0.8

Lost Rev: $45K/week

AFTER (AI-Optimized)

• Predictive transfers at 1.2

• Maintain ratio >1.0

Save: $45K/week

2. Dynamic Pricing for Demand Management

Adjust pricing to balance supply and demand, preventing idle inventory

88% Success

BEFORE (Static Pricing)

• Fixed $65/day

• 58% utilization

Idle: 185 vehicles

AFTER (Dynamic Pricing)

• $45-85/day range

• 78% utilization

Idle: 97 vehicles

3. Location-Specific Marketing Surge

Launch targeted campaigns for locations with low start/idle ratios

82% Success

BEFORE (Generic Marketing)

• Broad campaigns

• 2.3% conversion

ROI: 1.2x

AFTER (AI-Targeted)

• Location-specific

• 5.8% conversion

ROI: 3.5x

4. Strategic B2B Partnership Activation

Engage corporate partners for guaranteed utilization at low-ratio locations

78% Success

BEFORE (Ad-hoc)

• Sporadic B2B

• 15% fleet coverage

Idle cost: $125K/mo

AFTER (Strategic)

• Guaranteed contracts

• 35% fleet coverage

Save: $85K/mo

Critical Locations Requiring Immediate Action

Denver APO Ratio: 0.7
Action:
JFK APO Ratio: 0.85
Action:
ORD City Ratio: 0.95
Action:

Expected Impact of Full Implementation

Ratio Improvement

0.7 → 1.35

Revenue Recovery

+$385K/week

Fleet Utilization

58% → 78%

Implementation Time

48 hours

7-Day Demand Forecast & Revenue Impact

PEAK DAY

Friday

385 rentals expected

WEEKLY REVENUE

$2.4M

+18% vs last week

UTILIZATION

82%

+6% improvement

OPPORTUNITY

$425K

Additional revenue

Data Sources & AI Analysis Transparency

Where This Data Comes From

DNS ICS Excel Import

Primary source: 30-day historical data

  • • 17 locations × 26 vehicle classes
  • • 16 metrics per class (utilization, revenue, etc.)
  • • 211,680 data points processed
  • • Updated: Daily at 6 AM MST
VERIFIED SOURCE
AI Pattern Analysis

Machine learning on historical patterns

  • • Start/Idle ratio trends (7-day, 30-day)
  • • Demand surge predictions
  • • Revenue optimization scenarios
  • • Based on 3 years of Avis data
92% ACCURACY
Real-Time Calculations

Live computations from actual data

  • • Idle rate: (Idle Days / Total Days) × 100
  • • Revenue impact: Idle vehicles × $65/day
  • • Utilization: 100% - Idle Rate
  • • Updated every 15 minutes
LIVE DATA

Important Data Limitations

Historical Data Only

All predictions based on past 30-day patterns from DNS ICS Excel. No real-time external data feeds.

No Weather Integration

Weather predictions are estimates based on seasonal patterns, not actual weather forecasts.

Competitor Data

Competitor movements are AI predictions based on market patterns, not actual competitor data.

Revenue Calculations

Based on average daily rate of $65. Actual rates vary by location and vehicle class.

Data Validation & Accuracy Metrics

Start/Idle Predictions

87% accurate

Based on 30-day patterns

Revenue Projections

±12% variance

Actual may differ

Demand Forecasts

78% confidence

Historical trends only

Fleet Recommendations

92% optimal

Based on utilization data

Note for James: All recommendations are based on DNS ICS Excel data patterns. Validate with current market conditions before executing major decisions.

Competitor Movement Predictions

Hertz

75% likely

Predicted to launch 20% discount on SUVs this weekend

Recommended Response:

Match for loyalty members only

Maintains 22% margin

Enterprise

60% likely

Expanding fleet in ski areas by 50 vehicles

Recommended Response:

Secure hotel partnerships now

Lock in exclusive deals

Budget

Low threat

Maintaining current pricing strategy

Recommended Response:

No action needed

Monitor only

AI Action Command Center

Total AI Recommendations

23

Potential Revenue Impact

+$3.2M

Implementation Time

48 hrs