# Costco moved $33 billion in digital sales by renting DoorDash and Uber Eats fleets

*The warehouse chain turned third-party delivery into a distribution channel without building its own last-mile infrastructure.*

By **Jenny Huang Goodman MPA MSc MHSA, Principal** — The Stash Edge, Hako Shikin LLC.
Published 2026-09-27.

Canonical: https://www.pops4.com/stash/articles/costco-2026-09-27t21-1
Subject: Costco
Tags: distribution, last-mile, omnichannel, platforms, logistics, costco

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Costco's digital sales reached **$33 billion** in 2026, growing more than **20% year-over-year**, according to Modern Retail. The driver was not a proprietary delivery fleet or a rebuilt logistics stack. The warehouse retailer plugged existing inventory into DoorDash and Uber Eats, letting those platforms handle the last mile while Costco kept the customer relationship and the margin structure of a physical retailer.

The mechanics were straightforward. Costco integrated its warehouse management system with the APIs of both delivery platforms. A customer orders through DoorDash or Uber Eats, the order routes to the nearest Costco warehouse, a gig driver picks the items from the floor, and delivery happens within the platform's standard window. Costco pays a commission on each transaction but avoids the capital expense of building a delivery operation from scratch. The warehouse sells the same bulk SKUs it stocks for in-store traffic, no separate assortment required.

This worked because Costco treated delivery platforms as distribution, not marketing. Most brands use DoorDash or Uber Eats as customer acquisition channels and accept thin margins in exchange for reach. Costco inverted that. The company already had brand pull and a membership base. The delivery platforms became a way to serve existing demand at times or locations where a warehouse visit was inconvenient. The customer paid for convenience through delivery fees, Costco maintained its per-unit economics, and the platforms monetized their driver networks. The result was incremental revenue from the same inventory, no new capex.

The insight scales to any physical product brand with predictable replenishment demand. You do not need a warehouse network. You need one reliable fulfillment point and a product people reorder. A small brand selling consumables, pet supplies, or household essentials can run the same play using local retail partnerships or a single stocking location. List your product on DoorDash, Uber Direct, or Instacart as a merchant. Set your pricing to cover the platform commission and delivery subsidy. Route orders to a retail partner or your own micro-warehouse. The platform handles driver dispatch, routing, and customer service. You capture the customer data and the repeat order.

For a one-person brand, start with a single zip code. Partner with a local retailer who already stocks your product or negotiate a consignment shelf. List on one platform, drive traffic through your email list or social, and test whether your unit economics survive the commission hit. If the lifetime value of a delivery customer exceeds the blended cost of goods, commission, and first-order subsidy, you have a repeatable channel. Scale by adding zip codes, not by building logistics. For an in-house growth lead with budget, white-label the model using Uber Direct or DoorDash Drive. You control the customer experience, the platform provides the fleet, and you avoid the fixed cost of a delivery team until volume justifies it.

The broader pattern is that logistics became rentable in the same way cloud computing did. Costco proved you can move billions in product without owning a single delivery truck. The play works when your product has repeat demand, your margin structure can absorb a **15-25%** platform fee, and your customer acquisition cost is lower through owned channels than through the platform's marketplace. The next move is to test one platform in one market with one SKU and measure whether the second purchase happens.

## The takeaway

Costco moved **$33 billion** by renting third-party fleets, not building them—test the model with one platform, one zip code, and one SKU.

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## Publisher

**Hako Shikin LLC** — Virginia Beach, Virginia. Founded 1997. ASI 217876 · DUNS 18-204-6339.
Principal and author: **Jenny Huang Goodman MPA MSc MHSA**.

- Author: https://www.huanggoodman.com/about
- LLM context: https://www.pops4.com/stash/llms.txt
- MCP endpoint, for AI agents: https://mcp.pops4.com/mcp
- Client dashboard: https://dashboard.pops4.com/
- Catalogue: 70,000+ products, 200+ brands
