Kroger is dismantling its dark-warehouse bet and rebuilding e-commerce around a hybrid, store-led model designed to make online grocery structurally profitable.
In Brief
• Kroger is closing three automated fulfillment centers and reallocating volume to stores and third-party delivery partners to cut e-commerce cost-to-serve.
• The company is explicitly targeting a 400 million dollar uplift to e-commerce operating profit in 2026, turning an 11 percent sales channel from loss-making to profitable.
• Capital is shifting from high-capex automation into new stores and store operations, recasting the physical network as the primary e-commerce engine.
A Deliberate Break From The Dark-warehouse Playbook
Kroger has drawn a clear line under its first-generation automated fulfillment strategy. After a comprehensive review of its e-commerce model, the company is closing three automated fulfillment centers that have not met operational and financial expectations, taking a 2.6 billion dollar impairment in the third quarter of 2025 and moving to a different operating logic.
The new logic is explicit. E-commerce now accounts for around 11 percent of Kroger’s sales and is growing at 17 percent year-on-year, with orders delivered within two hours or less up more than 30 percent. Management has stated that the priority is no longer just growth, but making money on a business expanding at that pace. The answer is a hybrid network that uses automated fulfillment only where density and economics justify it, and shifts the bulk of volume to store-based picking combined with third-party last-mile delivery.
This marks a structural change in how Kroger intends to serve digital demand. Automated facilities move from being the cornerstone of the online network to being one tool in a mixed model. Stores, not dark sheds, become the default node for both pickup and delivery, supported by partners such as Instacart, DoorDash and Uber Eats.
How The Hybrid Model Works In Operational Terms
In operational terms, the shift has three main components: network design, last-mile execution, and store operations.
At network level, Kroger is:
• Phasing out three automated fulfillment centers by January 2026 while retaining other automated sites only where demand density and economics support them.
• Redirecting demand in those geographies to nearby stores, with internal analysis suggesting that most customers and their e-commerce spend can be retained through store-based fulfillment and in-store shopping.
• Accelerating store expansion, planning to break ground on 14 new stores in the fourth quarter and increase new builds by 30 percent in 2026, with standard formats of roughly 123,000 and 99,000 square feet.
This network design recasts supermarkets as local micro-fulfillment hubs. Inventory that was previously held in centralized automated facilities for delivery is now positioned closer to customers, in stores that already support in-store demand.
On last-mile execution, Kroger is extending its relationships with Instacart, DoorDash and Uber Eats. These partners now handle a growing share of delivery volumes from stores, with DoorDash alone delivering 1 million orders in its first month. The stated aim is to improve geographic coverage and delivery speed, with promises of delivery in as little as 30 minutes in some areas.
This is not only a capacity play. Management expects each partner to bring distinct missions and customer segments, from full-basket stock-up orders to immediate convenience trips. The vast majority of e-commerce orders still flow through Kroger’s own website and app, but partners provide additional demand and flexible last-mile capacity without the company building its own fleet at national scale.
Inside stores, the model depends on tighter operational control. Kroger’s internal composite store scores, which track in-stocks, fresh quality and service, are said to be improving. Store hours are being extended to improve checkout speed and on-shelf availability. An AI-powered workforce management platform is used to align staffing with peak demand, enabling store leaders to fill open shifts and match labour to order waves and busy trading periods.
In practical terms, this kind of shift typically requires:
• Integration of order management systems so that online orders are allocated to the most appropriate store based on stock, labour capacity and delivery partner coverage.
• Updated pick-path logic and store planograms to minimise travel time for pickers while protecting the in-store customer experience.
• Tighter master data on SKU locations, pack sizes and substitutions to keep pick accuracy high when volumes scale.
• Demand planning that accounts for the dual role of store inventory, covering both walk-in and online demand without driving up safety stock.
Kroger does not disclose these mechanics in detail, but the decision to lean into store-based fulfillment while claiming neutral impact on identical sales suggests that this layer of execution has been a central focus of the e-commerce review.
Rebasing E-commerce Economics Around Cost-to-serve
The closure of three automated fulfillment centers is expected to contribute roughly 400 million dollars of e-commerce profitability improvement in 2026. Management has indicated that e-commerce losses were already halved in the third quarter versus the prior period, and that this bundle of changes will make the online business profitable next year.
That 400 million dollars is described as a mix of operating cost savings and lower depreciation. In effect, Kroger is removing fixed cost from underutilised assets while raising the utilisation of existing stores and external fleets. The CFO has said that even after reinvesting part of the benefit into pricing, customer experience and technology, a portion will still be available for operating-margin expansion.
This is consistent with the broader gross margin story. In the latest quarter Kroger’s FIFO gross margin rate, excluding fuel, rose by 49 basis points year-on-year, or 24 basis points excluding the sale of its specialty pharmacy business. Underlying grocery margin declined as the company took down prices on another 1,000 items and leaned into promotions, but this was offset by higher-margin private label mix, sourcing improvements, lower shrink and lower supply chain costs.
The e-commerce redesign is therefore one component of a wider effort to fund competitiveness through operational gains rather than accepting margin erosion. Online, that means using stores and partners to lower per‑order handling and distribution cost; across the total business, it means using Our Brands, procurement and shrink to hold gross profit while investing in sharper shelf prices.
Benchmarking Kroger’s Pivot Against Peers
The direction Kroger is taking sits within a broader pattern in food retail. Walmart has automated more than half of its US e-commerce fulfillment centre volume and now feeds over 60 percent of its stores from automated distribution centers, but a large share of its fastest deliveries are still fulfilled from stores, with 35 percent of US digital orders delivered in under three hours and sub‑one‑hour channels growing at roughly 70 percent. Target is redesigning its network so that some stores focus on ship-from-store, while others prioritise in-store service, and is investing heavily in store automation and AI to support that split.
In contrast to these peers, Kroger is stepping back from its most capital-intensive automated sites rather than expanding them. The move is less about rejecting automation and more about recalibrating where automation belongs in its network, and at what scale. The benchmark here is not who has the most robots, but which assets are earning their cost of capital.
Constraints And Trade-offs In The New Model
The hybrid design carries its own constraints. Relying more heavily on stores and partners for online growth increases the operational load on frontline teams and heightens the importance of labour planning. It also introduces new dependencies on third-party platforms whose strategic priorities, fee structures and service levels sit outside Kroger’s direct control.
There is also a structural trade-off between centralised automation and store-based fulfilment. Dark warehouses offer high picking productivity and inventory consolidation, but only when volume density is sufficient and delivery routes are efficient. Store-based models offer better proximity and faster delivery but can suffer from higher picking costs, aisle congestion and greater risk of on-shelf depletion if not tightly managed.
Kroger is trying to balance these tensions by retaining some automated centers where the density case holds, while pushing most growth through stores and partners. The company is also using its strong balance sheet, with net debt to adjusted EBITDA at 1.73 versus a target range of 2.3 to 2.5, to redirect capital into store builds and major store projects rather than additional fulfilment infrastructure.
A further constraint is demand volatility. Management notes that consumers are making smaller, more frequent trips, cutting back on discretionary purchases, and buying more on promotion. General merchandise comps were negative in the quarter, while deli and natural and organic foods held up better. Those patterns complicate assortment planning for large-format stores that now need to support both in-store and online missions while discretionary categories soften.
A Different Foundation For Omnichannel Growth
Kroger’s e-commerce pivot replaces a first-wave automation thesis with a model grounded in return on capital, store utilisation and partner leverage. The company is accepting the cost of an impairment to free up 400 million dollars of annualised e-commerce profit improvement, then using that capacity to reinforce its price position, upgrade store experience and fund selective technology bets such as agentic AI for basket building.
The operating model now assumes that profitable digital growth will come less from standalone fulfilment assets and more from a network where stores, partners and data work in concert. That creates a more flexible but also more operationally demanding system, in which the discipline of store execution and partner management becomes as central to e-commerce economics as the original automation designs once were.
