Designing warehouse operations for flow, not friction

Competitive chess players think about the end game from the beginning of play. Experienced cooks read a recipe all the way through before they start, looking for missing ingredients or surprise steps. Warehouses are no different. Significant efficiency gains come from thinking about warehouse operations as complete processes, not just a series of steps.

Too often, warehouses are managed as a series of disconnected transactions rather than a continuous flow. Orders move from picking to packing, routing, and shipping—often across multiple systems and workstations—each transition introducing friction, delays, and opportunities for error. Those chip away at throughput, labor efficiency, and customer SLAs.

It’s like crossing a stream by stepping from stone to stone: Every step is a chance to slip. A single, continuous bridge gets you across faster and with far less risk.

That’s why the smartest way to move work through a warehouse isn’t step-by-step optimization, but flow orchestration. Flow orchestration leverages advances in automation, including real-time decision-making, system integration, and coordinated material handling. The result is fewer handoffs, fewer failures, faster throughput, and, ultimately, better outcomes and superior ROI.

Where warehouses actually fail: the hand-off points

To remove friction, start by diagnosing where it occurs. Three handoff zones consistently erode performance in conventional warehouse operations.

• Packing → Shipping
  Orders are often packed before carrier selection and shipping constraints are known. When the assumed box doesn’t align with the final carrier, service level, or rate, rework, relabeling, and dock congestion follow.
• Picking → Packing
  Orders are often picked without visibility into final routing or consolidation needs, leading to unnecessary touches and late-stage changes.
• Planning → Execution
  Replenishment, batching, and prioritization are often disconnected from real-time flow, causing teams to react instead of orchestrate.

Removing friction: warehouse automation case studies

Here’s how Sikich has helped distributors eliminate these friction points.

Case #1: Taking friction out of rate selection and packing

In the traditional warehouse model, orders are picked and packed first, while rate shopping and routing happen later as a separate step. As a result, shipping decisions are made without full physical context. Teams pack based on assumptions, only to discover downstream that carrier requirements, service levels, or costs don’t align.

Sikich worked with a distributor to remove this friction by integrating RateLinx with Microsoft Dynamics 365 Finance & Supply Chain Management. The integration allows rate selection to occur before or during packing, rather than after. As an order flows through packing, the system automatically calls Redwood Logistics to retrieve nationwide LTL rates, returning the optimal carrier, service level, and cost in a single step.

Because these decisions are made in context, physical handling and documentation stay aligned. Packers select the right box and prepare the shipment with full visibility into shipping requirements, eliminating late-stage changes and downstream exceptions. The result is a smoother flow with fewer systems to reconcile, lower exception rates, and cost decisions made at the right moment instead of retroactively.

Case #2: Removing packing friction by bypassing the step entirely

Sometimes the most effective way to remove friction isn’t to automate a step but to eliminate it altogether. Many warehouse operations treat packing as a mandatory part of the process, even when it adds no value. In a flow-oriented approach, certain orders can bypass the packing step, moving directly from picking to the dock.

This is especially effective for items that can ship in manufacturer-ready packaging. By embedding decisions into the order logic rather than relying on human judgment at each handoff, warehouses reduce friction at its source. The result is fewer touches, shorter order cycles, and less congestion at the dock.

Sikich worked with a client whose original process included multiple friction-heavy steps: products were picked, staged at the packing line, run through a packing station, labeled there, and only then transported to the dock. Along the way, pallets were stacked during picking, unstacked to pack, and then restacked again for shipping: doubling handling effort and increasing the risk of delays and errors.

To smooth the flow, Sikich built a custom solution within Microsoft Dynamics 365 Finance & Supply Chain Management that allowed pickers to apply shipping labels directly from a mobile printer on the forklift. With shipping decisions already embedded in the order, products could move straight from picking to the dock, eliminating the packing step entirely. By removing unnecessary handling and handoffs, the operation moved faster, required less effort, and significantly reduced operational friction.

Case #3: Removing consolidation friction by making it a system decision

Consolidation is another area where operational friction often hides in plain sight. In traditional warehouse environments, workers decide which items should ship together based on experience, notes, or informal rules passed from one person to another.

Exceptions are handled manually through emails, workarounds, or last-minute decisions, introducing inconsistency, delays, and unnecessary handling.

A better approach removes these friction points by shifting consolidation decisions into the system itself. Automation evaluates the relationships within each order and determines when items should be held, combined, or released. As a result, physical flow aligns with financial priorities and service commitments, without relying on human judgment at every handoff.

Sikich’s work with Learning Resources, [1] a maker of educational toys and learning kits, illustrates this shift. To support high-volume, mixed-order fulfillment, Sikich implemented logic within Microsoft Dynamics 365 Finance & Supply Chain Management that determines which items belong in which boxes and directs workers accordingly. Team members no longer have to guess how orders should be grouped or manually reconcile what goes where.

Just as importantly, the system looks ahead to determine when full boxes should remain intact and when they need to be opened. Boxes are only split when demand requires it, reducing unnecessary repacking and redistribution. By embedding consolidation logic into the operational flow, Learning Resources reduced handling, eliminated guesswork, and kept orders moving smoothly through the warehouse.

Streamlined systems enable better flow

When decisions are made earlier and in context, warehouses rely on fewer systems, fewer handoffs, and fewer downstream corrections.

That alignment delivers practical benefits:

• Fewer integrations to maintain
• Fewer reconciliation reports
• Fewer exceptions that require human intervention

Rather than layering new tools or workflows on top of existing ones, flow orchestration focuses on helping systems work together so physical operations and digital decisions stay aligned with less wasted effort.

Before adding another system or step into the process, ask:

• Where are decisions currently deferred downstream?
• Which steps exist only because systems lack full visibility?
• How many handoffs depend on human judgment to reconcile gaps?

Smart customization creates better outcomes in the warehouse

While ERPs excel at managing transactions, achieving true warehouse flow often requires thoughtful customization so teams aren’t forced to compensate manually when systems fall short.

As these use cases show, Sikich specializes in tailoring Microsoft Dynamics 365 Finance & Supply Chain Management—often in combination with tools like RateLinx—to support workflows that reflect real-world warehouse operations.

Ready to see how you can reduce friction in your warehouse? Get in touch with Sikich to start the conversation.