Home Depot is rebuilding fulfillment around a ship-from-best-location model that reassigns work across stores, warehouses, and specialty branches to lift speed, reliability, and Pro engagement.
In Brief
- The network is being orchestrated as a single pool, with orders routed to the ‘best’ node based on distance, inventory, and delivery speed rather than fixed hierarchies.
- Store operating models are being redesigned so floor staff sell while specialist teams execute tasking and fulfillment, limiting friction as stores absorb more delivery volume.
- Digital workspaces and scheduling tools tie planning, credit, and delivery into one flow for complex Pro projects, raising repeat demand and wallet share from the same physical assets.
The Strategic Break: Fulfillment Decisions Move From Local To Enterprise Logic
The most important change underway at Home Depot is not the latest acquisition or the addition of new branches. It is a quiet but structural shift in how the company decides where each order is fulfilled.
Ann-Marie Campbell describes a proprietary model that ‘leverages all of our assets to drive speed,’ internally called ship from best location. Instead of defaulting online orders to a nearby store or a designated distribution center, Home Depot is beginning to route orders to what it defines as the optimal node for that specific request.
This is a move from location-based convention to network-based optimisation. The company is now making fulfilment decisions using three primary variables it discloses explicitly:
- Distance to the customer
- Inventory availability
- Speed of delivery
Home Depot reports that early use of this sourcing logic is reducing cancellations, improving fulfilment time, lifting customer satisfaction scores, and raising ‘likelihood to shop again’ measures. The company also notes ‘tremendous growth in deliveries out of our stores’, indicating that stores are now acting as active ship nodes rather than simply pickup points.
This is the strategic break: fulfilment is no longer an afterthought to channel design. It is a network optimisation problem being solved in real time, with store, warehouse, and specialty branches treated as interchangeable assets.
How Ship-from-best-location Is Being Executed In The Network
Home Depot now manages:
- 2,361 stores
- 325 customer-facing warehouses
- Over 1,300 specialty distribution branches through SRS
- Approximately 16,000 delivery assets
On top of this footprint sit new acquisitions such as Mingledorff’s, an HVAC distributor with 42 locations in five southeastern states, which will be folded into SRS as a fifth vertical over time. This scale provides the raw material for ship-from-best-location, but the operating logic rests elsewhere.
In operational terms, this kind of shift typically requires:
- A common order management layer that can see inventory across all nodes
- Standardised location and delivery master data
- Routing rules that balance service promises with cost tolerances
- Feedback loops from delivery performance back into sourcing logic
Home Depot confirms several of these elements. The company states that it is ‘evolving our sourcing logic’ and now routes orders to the optimal store based on distance, inventory, and speed. It ties this to record on-time and complete performance for deliveries from both stores and supply chain assets.
At network level, ship-from-best-location is implemented through:
- A single pool of stock: inventory across stores, warehouses, and branches is visible to the routing engine.
- Dynamic selection of fulfilment node: the engine chooses the node that can meet the delivery time window with available inventory at acceptable cost.
- Feedback on execution: reductions in cancellation rates and improvements in fulfilment time indicate that performance data is being captured and used to refine rules.
The outcome is a network that behaves more like a coordinated grid than a set of parallel channels. For large, complex Pro orders, this allows the company to assemble deliveries from multiple categories and locations while maintaining a single commitment to the job site.
Store Operating Model: Separating Selling From Tasking To Absorb Fulfilment Load
Treating stores as ship nodes has direct implications for in-store labour and process design. Home Depot has begun to separate floor selling from back-of-house tasking and execution.
More than 1,000 stores have already transitioned routine tasking to the merchandising execution team, with completion expected across all stores by the end of fiscal 2026. Orange apron associates are being reserved for engagement and selling, while merchandising execution teams handle tasks such as shelf work and, by implication, a growing share of fulfilment-related activity.
The company has also introduced an Operations Experience Manager role, responsible for uniform operational processes and the interconnected fulfilment experience. This is an explicit governance move: a single leader per store focused on process discipline rather than sales.
The early effects disclosed are:
- Higher productivity on tasking
- Higher engagement levels from selling associates
- Better ‘likelihood to shop again’ scores
For a network where deliveries out of stores are growing strongly, this separation of work is critical. Stores are simultaneously being asked to serve walk-in traffic, execute complex online orders, and stage job site deliveries. Without a clear division between work types, the risk is that fulfilment performance degrades in peak periods or that in-aisle service suffers.
Peers in other sectors are making similar adjustments. BJ’s Wholesale Club, for example, has used robotics and AI to improve pick path efficiency by roughly 40 percent while lowering per-club inventory and raising in-stock rates. Best Buy has shifted more picking and shipping into stores while using data-driven sourcing to choose fulfilment locations for over 70 percent of online orders. The common pattern across these organisations is that store operations are being retooled for hybrid roles: part showroom, part mini-warehouse.
Pro Workflows: Planning, Credit, and Delivery Tied Into One Flow
Ship-from-best-location is not being deployed in isolation. Home Depot is aligning planning tools, credit terms, and delivery scheduling around the same logic.
The company now offers a Pro digital workspace that combines:
- A project planning tool to organise and stage deliveries for large jobs
- An AI-powered material list builder to help assemble orders by project scope
- Real-time delivery tracking and purchase history
- Shared access across teams working on the same job
Complex order scheduling allows Pro customers to set job site preferences and business hours, with deliveries planned inside specified time windows. Home Depot states that on-time and complete performance for these deliveries is at record highs.
Pro trade credit is also timed to shipment, not point of sale, with 30-day terms. This aligns cash flow with the actual receipt of materials and installation work, particularly in longer lead time categories such as windows, doors, and appliances. The company reports strong adoption of this model among single and multifamily builders and large remodelers and is now piloting the credit program online with planned expansion into e-procurement and construction management platforms.
In operational terms, tying planning, fulfilment, and credit together creates a single spine for complex Pro demand. Orders are planned and staged through the digital workspace, routed via ship-from-best-location, and financed on terms linked to shipment. This raises the probability that large projects are consolidated with one supplier and fulfilled predictably.
Network Expansion and Mix: More Nodes, Tighter Economics
The fulfilment overhaul sits on top of an expanding network. Home Depot plans in fiscal 2026 to open approximately 15 new stores and 40 to 50 new SRS locations, on top of the 1,300-plus branches SRS already operates. Mingledorff’s is being positioned as the foundation of a fifth SRS vertical in HVAC, focused heavily on repair, replace, and remodel demand.
Mingledorff’s footprint of 42 locations is regionally concentrated, but Home Depot highlights a key supply chain insight: while equipment distribution is controlled by regional exclusives, parts can be sold nationwide. The company intends to leverage its stores, online capabilities, and direct fulfilment centres to build national parts distribution on top of what is currently a regional network.
This multi-vertical approach comes with financial trade-offs. Home Depot’s gross margin in the first quarter of 2026 was 33 percent, down approximately 75 basis points year-on-year, with management attributing the change largely to mix from the GMS acquisition in interior building materials. The company guides to a full-year gross margin of 33.1 percent, again framing the shift as mix rather than underlying margin erosion in the core.
The tension is clear: specialty distribution into Pro categories such as roofing, interiors, and HVAC is structurally lower margin than big-box retail, but it is central to capturing a larger share of a 700 billion dollar Pro market. Home Depot is accepting a lower average gross margin in exchange for deeper reach and more control over fulfilment in these categories.
Constraint and Risk: Demand Visibility and External Volatility
Ship-from-best-location and the broader network redesign do not insulate Home Depot from demand risk. The company is explicit that it is not expecting a marked improvement in underlying demand and instead is relying on a return to normal storm activity in the second half of 2026 to lift certain categories, particularly roofing.
The roofing market saw a 28 percent drop in shipments in the fourth quarter of 2025, the weakest quarter since 2019. SRS delivered slightly negative comps in roofing in the first quarter of 2026, and Home Depot’s outlook for mid-single-digit organic sales growth at SRS is contingent on compares easing and more typical seasonal patterns.
Home Depot also points to potential cost pressures from fuel, other commodity inputs, and new tariffs. The company notes that it has filed for tariff refunds and expects these to significantly offset such costs, and that it has previously met gross margin plans despite tariff headwinds. That said, the combination of external cost volatility and lower-margin specialty mix compresses the room for error in fulfilment decisions. Over-indexing ship-from-best-location on speed alone, without cost guardrails, would erode the very margins now under pressure.
Inventory is another signal. Merchandise inventories at the end of the first quarter were 27.3 billion dollars, up approximately 1.5 billion dollars year-on-year, with inventory turns at 4.2 times versus 4.3 times the prior year. Home Depot does not break out the portion tied to Pro expansion and new verticals, but the build indicates that network orchestration is being implemented with more stock on hand, not less.
Other large networks are moving in a different direction. BJ’s Wholesale Club has reduced per-club inventory while raising in-stock rates, using robotics and AI-driven allocation to balance risk. For Home Depot, higher absolute inventory combined with more dynamic routing increases the importance of accurate execution data and disciplined replenishment rules.
What Home Depot’s Operating Model Now Enables
Home Depot’s shift to ship-from-best-location, combined with store labour redesign and Pro workflow integration, turns a distributed asset base into a coordinated fulfilment system. Orders can be routed to whichever node can meet a promised delivery window with available stock, while stores absorb rising delivery volumes without fully sacrificing in-aisle service.
The model enables the company to:
- Increase the utilisation of existing stores, warehouses, and branches as shared fulfilment assets
- Tie Pro planning, credit, and delivery into one operational flow for complex projects
- Extend regional specialty distributors into national parts and materials platforms
The constraints are equally clear. Lower-margin Pro categories, external cost shocks, and weather-driven demand patterns narrow the margin for fulfilment inefficiency. Inventory is rising, not falling. The success of ship-from-best-location will therefore rest on how effectively routing logic, store process discipline, and replenishment rules are governed as the network grows.
Home Depot is not just adding nodes; it is changing how each node is chosen and used. That operating discipline, more than footprint alone, will determine whether ship-from-best-location becomes a durable advantage or an expensive layer on a complex network.
