ASRS Rollouts Shift to Software-Defined Control Layers

Enterprise warehouse operators deploying automated storage and retrieval systems at scale are separating hardware performance from software interoperability, moving control logic away from proprietary equipment stacks and into middleware layers that can orchestrate mixed fleets across multi-site networks.

According to the Council of Supply Chain Management Professionals' 2025 State of Logistics Report, U.S. business logistics costs remain elevated at 8.8 percent of GDP, leaving operators minimal margin to absorb stranded-asset writedowns from automation platforms that cannot interoperate across facilities. Interact Analysis projects that 26 percent of warehouse sites will be automated by 2027, with long-term warehouse automation expansion forecast at a compound annual growth rate of 8 percent through 2030.

The shift follows growing caution about vendor lock-in after large ASRS commitments. Operators want real-time visibility and future expansion plans decoupled from equipment-specific control systems, particularly when rollouts span facilities with different automation generations or competing vendor footprints already installed.

Layered Architecture Preserves Flexibility

Dr. Julian Popp, Vice President, Körber Supply Chain Consulting, said large-scale operators increasingly separate hardware performance from software interoperability, although proprietary ecosystems can provide highly optimized control of automation equipment. "Operators do not want network-wide visibility or future expansion to depend on a single technology stack. The most successful approach is therefore a layered, software-defined architecture: equipment-specific controls for complex machinery remain close to the hardware, while the WCS provides a standardized integration layer between ERP or WMS platforms and the physical automation. Furthermore it covers more and more direct hardware control where possible. Open, well-defined interfaces and a common data model enable consistent monitoring, orchestration and reporting across sites, even when different vendors or generations of equipment are involved. Scalability comes from standardizing the majority of processes and interfaces while keeping site-specific requirements configurable," Popp said in written responses to Warehouse Insider.

The separation creates a stable business-layer interface to the WMS while the warehouse control system absorbs real-time sequencing, equipment availability, capacity constraints and recovery scenarios that legacy platforms were not designed to manage.

Second Voices and the Case for Caution

The software-first reading extends beyond the consulting layer. inVia Robotics, in its 2026 warehouse automation outlook, wrote: "The next phase of warehouse automation will be defined less by new hardware and more by software-led orchestration platforms, such as WES and other warehouse orchestration layers. In 2026, the question shifts from 'what else can we automate?' to 'how do we orchestrate these systems without creating an automation Frankenstack?'"

Not every operator finds that orchestration layer easy to realize. Symphony, the logistics software division of Boon Software, cautions that stitching together equipment from multiple vendors often fails exactly where operators expect coordination to help, producing warehouses "where automation is running, but no one is actually orchestrating it." The firm points to task-priority conflicts between systems that independently compete for labor, recovery times that vary by vendor rather than by severity, and lower effective throughput when isolated zones run in parallel. Adding or switching equipment, it warns, can force operators to rebuild coordination logic from scratch, a softer version of the lock-in the layered approach is meant to escape.

Multi-Site Rollouts Expose WMS Limitations

For multi-site deployments, the primary lesson is that ASRS installations should not be treated as simple WMS extensions. Clear ownership boundaries are essential: the WMS manages orders and inventory at the business level, the WCS coordinates execution and material flow. Ambiguous responsibilities around inventory status, reservations and exception handling create the greatest operational risk.

Kevin Xu, VP Strategic Initiatives, ShipMonk, a Florida-based third-party logistics provider operating a multi-facility fulfillment network, said automation deployment decisions depend on more than facility size. "The universal requirements of automation are scale and standardization. What AI and robotics are really advancing towards is lowering the standardization constraint. At ShipMonk, we think about this the same way, looking at scale and standardization coupled with product mix and volume, when making decisions around deploying robotics and AI capabilities. We de-risk in two ways: with more modular, less specialized automation, as well as with automation targeted towards product categories that solve unique challenges. This allows us to maximize the benefit of automation at a lower risk of client mix shift," Xu told Warehouse Insider in a previous interview.

Operators are establishing reusable core solutions that combine WCS and WMS functions based on proven process templates, interfaces and shared monitoring. The core solution must allow controlled configuration for local layouts, product profiles and operating models. Early emulation, realistic volume testing and well-defined degraded-operation procedures turn the first site's operational experience into a repeatable deployment model rather than a series of custom integration projects.