Campus Density Drives Delivery Efficiency

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David Lin, CEO of Duffl, on the economics of hyperlocal ultrafast delivery

Interview
That population density allows for higher labor efficiency.
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Campus density turns delivery labor from a one order errand into a repeatable route business. On a college campus, one racer can leave a nearby store with several orders at once, use local knowledge to cut through dorms and side paths, and return quickly for the next batch. That is why Duffl reports 10 to 12 orders per hour per racer, versus roughly 3 to 6 for many broader delivery players built around cars and wider service areas.

  • The key unit is trips per hour, not just cost per driver. Dense campuses let Duffl stack 4 to 5 orders per trip, and it has recorded 81 orders in a 3 hour shift by one racer. In the broader ultrafast market, dense urban dark stores were already considered attractive at about 6 drops per hour.
  • This is also why campuses matter more than cities in the U.S. ultrafast model. The broader category relies on dark stores in small radiuses and dense neighborhoods to make bike and scooter delivery work. Duffl found a pocket of density at UCLA that was tighter than even New York style urban delivery zones.
  • Higher labor efficiency compounds with lower CAC. Duffl says mature stores become profitable because order density lowers delivery cost and also fuels referrals. Its racers are also customers and evangelists, with 100 racers generating 30% of all referrals, which ties labor directly to growth.

The next phase is to turn that campus density advantage into a more systematized operating playbook. As batching software, inventory prediction, and university integrations improve, the strongest campus operators should widen the gap over citywide generalists by making each small store produce more orders, more often, with less paid marketing.