The Challenge
In the early 1970s, package delivery took 3-5 business days minimum. The postal system and early competitors (UPS, Emery Air Freight) used point-to-point routing — packages went directly from origin to destination. This meant serving every city-pair required exponentially more routes as coverage expanded.
Smith's professors and industry experts said reliable overnight delivery was logistically impossible and economically infeasible. The number of routes needed to connect every city to every other city grew exponentially — n×(n-1)/2 routes for n cities.
The Approach — Tools in Action
- Direct routing: 100 cities = 4,950 routes
- Hub-and-spoke: 100 cities = 200 routes (to and from hub)
- "What if we can't sort packages fast enough at the hub?" → Design the Memphis hub for maximum sorting speed (automated systems, overnight sort window)
- "What if weather grounds planes?" → Buy our own fleet (don't depend on commercial airlines)
- "What if demand is too low initially?" → Launch in 25 cities simultaneously to create network density
- "What if the sorting fails on night one?" → Run the entire operation as a rehearsal before accepting real packages
The Outcome
FedEx revolutionized logistics:
- Delivered its first packages on April 17, 1973 — 186 packages across 25 cities
- Grew to $90B+ in annual revenue
- The hub-and-spoke model was adopted by every major airline and logistics company
- "FedEx" became a verb — synonymous with reliable, fast delivery
- The company proved that challenging a fundamental routing assumption could create an entirely new industry
Smith's C paper became the blueprint for a $90 billion company — and the model the entire logistics industry eventually adopted.
Key Takeaway
The biggest innovations often come from questioning assumptions so fundamental that experts don't even recognize them as assumptions. "Packages must travel directly" was an assumption, not a law of physics.
Tools Used in This Story
First Principles
Problem SolvingBreak down complex problems into basic elements and create innovative solutions from there
Pre-mortem
Decision MakingImagine failure before it happens to prevent it
Decision Matrix
Decision MakingChoose the best option by considering multiple factors