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What it Takes to Hit 100 Million Drive-Thru Orders Per Year, and Why it Matters for QSRs

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Cars Per Hour

What is Cars Per Hour?

Cars per hour (CPH) measures drive-thru throughput—the number of vehicles a location can serve in 60 minutes. This metric directly reflects operational capacity and revenue potential. Industry averages range from 25-50+ CPH depending on brand, menu complexity, and staffing. Voice AI impacts CPH by improving consistency in order-taking time and eliminating the variance that comes from human fatigue, multitasking, and peak-hour pressure.

CPH is the fundamental capacity metric that determines how much revenue a drive-thru can generate.

Why Cars Per Hour Matters for QSR

Direct Revenue Connection

More cars = more revenue:

  • Each additional car per hour compounds daily
  • Peak hour capacity often limits daily revenue
  • CPH ceiling determines location potential
  • Small improvements scale significantly

Capacity Calculation

Revenue impact example:

  • Current: 40 CPH during peak
  • Improvement: 44 CPH (10% increase)
  • 4 extra cars × 4 peak hours × $12 ticket = $192/day
  • Annual impact: $70,080 per location

Operational Indicator

CPH reveals:

  • Staffing effectiveness
  • Process efficiency
  • Equipment performance
  • Training quality
  • System bottlenecks

Calculating Cars Per Hour

Basic Formula

Cars Per Hour = Vehicles served / Time period (hours)

Measurement Methods

Timer systems: Automated vehicle counting, sensor-based tracking, continuous measurement

POS-based: Transactions per hour, order timestamps, drive-thru flagged orders

Manual counts: Peak hour observations, spot checks, audit programs

Cars Per Hour Benchmarks

Performance Levels

Performance Single Lane CPH Assessment
Excellent 55+ Top performers
Good 45-55 Above average
Average 35-45 Industry typical
Below average 25-35 Improvement needed
Poor <25 Significant issues

By Segment

Segment Typical CPH Range
Burger QSR 35-50
Chicken QSR 30-45
Coffee/beverage 50-80
Mexican QSR 30-45
Fast casual 20-35

Components Affecting CPH

Order-Taking Time

Time at speaker:

  • Greeting and response
  • Order communication
  • Modifications and clarifications
  • Confirmation and upsell
  • Total “menu time”

Service Time

Post-order activities:

  • Payment processing
  • Food preparation
  • Order assembly
  • Window handoff

Voice AI and Cars Per Hour

Potential Impact Areas

Voice AI affects order-taking time:

Consistency:

  • Same performance all day
  • No fatigue-related slowdown
  • Reliable peak hour performance

Efficiency:

  • Optimized scripts
  • Reduced clarification
  • Streamlined confirmation

Typical Results

Well-implemented Voice AI:

  • Maintains or slightly improves CPH
  • Reduces CPH variance
  • Improves peak hour performance
  • Enables staff reallocation

What Voice AI Can’t Directly Fix

CPH bottlenecks outside AI scope:

  • Kitchen preparation speed
  • Payment processing time
  • Order assembly efficiency
  • Physical handoff time

Improving Cars Per Hour

Order-Taking Optimization

Script efficiency:

  • Shorter greetings
  • Faster confirmation
  • Optimized upsell timing
  • Reduced clarification

Kitchen Optimization

Preparation speed:

  • Predictive cooking
  • Parallel assembly
  • Equipment maintenance
  • Staff deployment

Common Misconceptions About Cars Per Hour

Misconception: “Higher CPH is always the goal.”

Reality: CPH must be balanced with order accuracy, guest experience, and staff capability. Pushing CPH at the expense of quality creates remakes, complaints, and long-term damage.

Misconception: “Voice AI dramatically increases CPH.”

Reality: Voice AI’s primary CPH benefit is consistency, not dramatic speed improvement. Order-taking is only one component of total service time. Expect modest but reliable CPH improvements or maintenance.

Misconception: “CPH is limited by the drive-thru lane.”

Reality: Most CPH limitations come from kitchen capacity, not lane throughput. Improving order-taking speed only helps if the kitchen can keep pace.

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