Your Warehouse Has a Coordination Problem. A New DCS White Paper Explains How to Fix It.

More automation hasn’t solved throughput. For many distribution and fulfillment operations, that’s a frustrating reality. Shuttles run fast. Robots handle more tasks than ever. Storage is denser. Individual systems perform right on spec. And yet, peak season still brings overtime spikes, congestion at consolidation and shipping, and supervisors spending their shifts firefighting rather than managing.

The problem isn’t the equipment. It’s that nothing is actively, dynamically, and intelligently coordinating all of it together.

That’s the central argument of DCS’s new white paper: Multi-Agent Orchestration: Enabling System-Wide Intelligent Flow in the Modern Warehouse Execution System. It’s now available to download.

What the White Paper Covers

The paper makes a straightforward but important case. The constraint that limits most modern warehouse operations isn’t speed or capacity. It’s coordination. Closing that gap requires a specific capability inside the software layer that directs day-to-day execution: multi-agent orchestration (MAO).

Here’s a look at the key takeaways.

1. The bottleneck has moved from equipment to flow.

The white paper details how individual automation systems perform well in isolation. But when a flash sale doubles order volume mid-shift, or an e-commerce spike hits two hours before next-day air cutoff, those systems have no way to rebalance as a whole. A single backed-up zone ripples downstream faster than any supervisor can respond.

The culprit is siloed control: warehouse management system (WMS) and enterprise resource planning (ERP) system software own order data. Warehouse control system (WCS) or warehouse execution system (WES) layers manage automation routing. Labor runs on static plans built the week before. Each layer optimizes its own slice, but nothing coordinates them together. The result is a set of individually reasonable decisions that collectively underperform.

2. Multi-agent orchestration is now an analyst-tracked category, and DCS’ DATUM WES is in it.

The white paper draws on Gartner’s Innovation Insight: Multiagent Orchestration Platforms (June 2025). Gartner defines MAO platforms as intelligent middleware that integrates and coordinates work across business applications, robot fleets, and other automated agents, assigning and monitoring that work in near real time.

Gartner frames MAO around four core capabilities: integration, orchestration, optimization, and observation. The paper walks through each one and explains what it means on the warehouse floor.

Importantly, DCS is named directly as a Representative Provider in that Gartner report. This is specific, third-party validation that DATUM isn’t just a WES with marketing language around it, but a recognized example of what a multi-agent orchestration platform looks like in practice.

3. The shift from wave-based to continuous execution is the operational turning point.

Most warehouse execution today still runs on waves. That is, work released in batches, creating artificial peaks and valleys that flood downstream zones, then leave them idle. The paper explains in concrete terms why that model breaks down under modern volume and variability.

A WES with MAO replaces that batch rhythm with proactive, continuous metering. Priorities reshuffled, resources reassigned, and work rerouted in real time before congestion forms, not reactively after a dashboard flags it.

The key question a flow-intelligent system asks isn’t “is this resource busy?” It’s: Is work moving through the operation at the rate required to meet today’s throughput, service, and peak-volume goals? That shift in framing is what the white paper calls system-wide intelligent flow.

4. Labor must be inside the orchestration model, not outside it.

Additionally, the white paper makes the case that labor optimization belongs inside the WES, not in a separate labor management system (LMS) or a supervisor’s clipboard.

The WES already has visibility into inbound orders, wave plans, batching logic, automation capacity, and downstream constraints. That makes it the right place to generate real-time labor recommendations, not static staffing plans built on last month’s average day. The paper reframes the staffing question from “where do we need people right now?” to “where will we need capacity next, and how should people and automation be balanced to maintain flow?”

Handoff points — consolidation and shipping in particular — are where this misalignment hurts most. Continuous work metering paired with real-time labor guidance keeps those points in sync instead of letting them become the operation’s recurring pressure point.

5. A practical checklist for evaluating any WES with MAO capability.

The paper closes with a buyer’s checklist of eight criteria any operation should apply when evaluating a WES with orchestration functionality. Among the considerations are:

• Does the system treat labor, robots, conveyors, and fixed automation as one coordinated network?
• Can it forecast completion times and resource needs, or only report what already happened?
• Is it hardware-agnostic and compatible with a multi-vendor robot fleet?
• Does the provider offer a phased, low-disruption deployment path, or does it require an all-at-once cutover?
• Is the provider independently validated by analysts?

These aren’t abstract criteria. They’re the difference between a WES that orchestrates and one that just routes.

Ready to Read the White Paper?

The full white paper, including the Gartner definitions, the four-capability MAO framework, and the complete buyer’s checklist, is available now.

Download the White Paper

Want to talk through how DCS’ proprietary warehouse execution system (WES) DATUM leverages MAO, and how that can benefit your operation specifically? The DCS software team welcomes that conversation. Connect with us.