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Bottom-Up Supply & Capacity Market Sizing Framework
The preferred framework when revenue is constrained by physical assets, transaction bottlenecks, operating hours, or seating capacity.
Core Equation: Capacity Revenue = (Operating Hours × Number of Service Points × Utilization Rate × Orders/Hour) × Average Ticket Size
Summary:
The Bottom-Up Supply method calculates market size by analyzing individual production or service units (e.g. cash registers, tables, hotel rooms, airport runways) and scaling them across operating hours and utilization rates.
When to Use vs When to Avoid
WHEN TO USE:
• Retail stores & restaurants (Starbucks, fast food, grocery checkout).
• Hospitality & venues (hotel rooms, movie theaters, stadium seats).
• Transportation & logistics (airports, cargo ships, subway turnstiles).
WHEN NOT TO USE:
• Digital software with zero marginal distribution cost and no physical capacity limits.
Step-by-Step Execution Framework
Step 1: Identify the Primary Physical Bottleneck
Pinpoint what limits output (e.g., number of cash registers, espresso machines, or dining tables).
Formula: Bottleneck = 3 Point of Sale (POS) Terminals
Pitfall: Focusing on total floor area when cashiers or ovens are the true rate-limiting factor.
Step 2: Calculate Single-Unit Transaction Throughput
Estimate how many seconds or minutes a single transaction takes at full speed.
Formula: Speed = 90 seconds/order = 40 orders per register per hour
Pitfall: Assuming instant transactions without realistic queueing delays.
Step 3: Bifurcate Operating Hours (Peak vs Off-Peak)
Split the operating day into high-traffic rush hours and slow off-peak hours.
Formula: Peak: 4 hours @ 100% capacity; Off-Peak: 10 hours @ 40% capacity
Pitfall: Applying 100% maximum capacity across all 14 hours of the day.
Step 4: Multiply by Average Order Value (AOV)
Apply average basket size to total daily transaction volume.
Formula: Daily Total = (4 hrs × 120 orders × $12) + (10 hrs × 40 orders × $10) = $9,760
Pitfall: Ignoring food attach rates or multi-item purchases in ticket sizes.
MBB Partner Advice & Scoring Focus
Partner Tip: Always explicitly mention peak vs off-peak differences. Partners love candidates who demonstrate realistic operational nuance.
Scoring Focus: Structure and Business Judgment.
Pros & Cons of This Method
PROS:
+ Grounded in tangible operational reality rather than abstract population percentages.
+ Demonstrates high commercial and operational acumen to interviewers.
CONS:
- Requires accurate operational intuition for processing times and utilization factors.
Frequently Asked Questions
Q: Why is Bottom-Up supply sizing favored for retail cases?
A: In prime urban areas, footfall often exceeds store processing capability. Sales are strictly limited by how fast baristas and cashiers can process orders.
Frequently Asked Questions
Why is Bottom-Up supply sizing favored for retail cases?
In prime urban areas, footfall often exceeds store processing capability. Sales are strictly limited by how fast baristas and cashiers can process orders.
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