Last-mile delivery is the most expensive part of the supply chain
Ask any logistics professional where the money goes in e-commerce fulfillment, and they'll point to the last mile. The portion of the journey from a distribution hub to the customer's door accounts for 40–53% of total shipping costs, depending on the product category and delivery window.
And it's getting more expensive. Labor costs are rising. Fuel prices are volatile. Consumer expectations for fast, free delivery have compressed the margins that carriers can offer. Retailers who built their unit economics around $5–7 last-mile delivery costs are increasingly facing $10–14 costs for the same service.
The standard responses — negotiating better carrier rates, optimizing warehouse locations, building proprietary delivery fleets — all help at the margins. But they don't address the underlying problem: most orders are traveling too far.
Distance is the root cause
Last-mile delivery is expensive primarily because of distance. A delivery that covers 25 miles costs significantly more than one that covers 4 miles — in labor, fuel, time, and per-package carrier charges. Zone-based pricing from major carriers means a package shipped across the country costs 2–3x more than one shipped to a nearby address.
The uncomfortable truth for most e-commerce retailers is that their fulfillment model makes long-distance delivery structurally inevitable. When every order ships from one or two central warehouses, a large percentage of customers will always be hundreds of miles away. You can optimize around this — better warehouse locations, regional distribution centers — but you can't fix it.
The only way to fundamentally change the distance equation is to move fulfillment closer to customers. And for most retailers, the infrastructure to do this is already built. It's their store network.
Stores as distributed fulfillment nodes
A typical national retailer with 500 stores has those stores distributed across major metro areas to maximize customer proximity. This isn't a coincidence — it's exactly the logic that drives store location decisions. Stores are placed where customers are.
From a fulfillment standpoint, this means the retailer already has hundreds of nodes distributed across the country, each stocked with product, each positioned close to customers. The cost to fulfill an order from the nearest store — using a local courier service — is a fraction of the cost to fulfill the same order from a central warehouse using a national carrier.
Studies from McKinsey, Deloitte, and multiple retail logistics research firms consistently find that ship-from-store reduces last-mile delivery costs by 40–60% compared to warehouse fulfillment, when the origin store is optimally chosen.
Why most retailers don't use this capacity
If stores are cheaper fulfillment nodes, why aren't more orders fulfilled from stores? Three reasons come up consistently:
1. Inventory visibility. To route an order to a store, you need to know that store has the product in stock right now. Most e-commerce platforms don't have real-time visibility into store-level inventory. They see warehouse inventory. Store inventory is tracked in POS and inventory management systems that aren't integrated with the e-commerce order flow.
2. Fulfillment operations. Pick-pack-ship in a retail store is different from warehouse operations. Associates need training, packaging supplies, and a workflow that doesn't disrupt customer service. Most stores weren't designed for this, though many have made it work with modest operational changes.
3. Carrier access. Warehouse fulfillment uses national carriers with established pickup schedules. Same-day and next-day fulfillment from stores often requires on-demand courier services that have different integration requirements. Getting carriers to pick up from 500 store locations reliably is more complex than managing pickups from two warehouses.
The first problem — inventory visibility — is the critical dependency. Without it, the routing logic required to select the optimal store for each order doesn't work.
The cost savings math
Let's look at a concrete example. A retailer ships 10 million orders per year from a central warehouse. Average last-mile cost: $11.50 per order. Total annual last-mile spend: $115 million.
The retailer has 400 stores distributed across major metros. Analysis shows that 60% of orders could be fulfilled from a store within 15 miles of the customer. For those orders, courier-based ship-from-store costs $5.50 per order — a savings of $6.00 per order.
Applied to 60% of 10 million orders: $36 million in annual savings.
Even with conservative assumptions — 40% of orders eligible for store fulfillment, $4 savings per order — the number is substantial. And it scales with order volume.
The infrastructure requirement
Capturing these savings requires one core infrastructure investment: a real-time local inventory system that provides the routing engine with accurate, up-to-date availability data for every store location.
This is not trivial to build from scratch. It requires POS integrations, data normalization across different store formats and systems, confidence scoring for inventory records, and a query interface that can support high-volume routing decisions in real time.
But it's a solved problem. Retail inventory networks that aggregate this data and expose it through a standard API exist today. Connecting to one is a fraction of the cost of building the infrastructure internally — and it enables not just ship-from-store cost savings, but also same-day delivery, Local Inventory Ads, BOPIS, and every other capability that depends on store-level inventory visibility.
The practical path forward
For retailers looking to reduce last-mile delivery costs through ship-from-store, the practical starting point is a pilot program:
- Identify the 20–30 highest-volume markets where you have store density
- Select a subset of SKUs where inventory accuracy is high and pick operations are straightforward
- Connect those locations to a real-time inventory feed and a routing layer
- Measure cost savings and customer satisfaction against your warehouse fulfillment baseline
- Expand based on results
The stores are there. The inventory is there. The cost savings are available. The question is whether your platform infrastructure can connect the dots in real time — and that's the problem that retail inventory networks exist to solve.