Supplychain247 iconSupplychain247Sep 22, 2026 ~6 min source read

Five WMS Features You’re Already Paying For but Not Using

Many warehouses activate roughly half of their WMS functionality. Before buying new technology, audit and enable overlooked features that improve inventory accuracy, labor productivity, and order flow.

Five WMS Features You’re Already Paying For but Not Using

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Five underused features to evaluate now: directed put-away, inventory control (real-time cycle/ABC/opportunistic counting), tightened wave planning, labor management analytics, and selective task interleaving.

Start with an internal audit if you have capacity or hire your vendor/consultant to map existing pain points to dormant WMS functions before buying new tools.

A warehouse management system is a major technology investment. According to a presentation at Made4net's Inspire conference, former Gartner analyst Dwight Klappich said the average WMS user enables roughly half the functionality they've licensed. That gap often forms during go-live when teams configure only what's necessary for day one and push the rest to a perpetual "day two."

If operations change, teams frequently work around the original setup rather than revisiting the software. The result: you may be paying for features that would address real operational pain but remain unused.

Inventory control (real-time cycle, ABC, opportunistic counting)

This is the largest single opportunity cited by practitioners. Turn on continuous and targeted counting modes your WMS likely supports: real-time cycle counts, ABC routines for high-value SKUs, and opportunistic counts during other touchpoints. Without these, inventory inaccuracies surface during picking—often when a truck is already at the dock.

Many sites release large batches of orders too early, which ties up inventory and creates congestion. A tighter wave strategy—releasing orders closer to ship time with logic that accounts for dock capacity and pick resources—improves throughput and reduces bottlenecks. Even modest tightening of wave rules can yield measurable flow improvement.

Modern WMSs capture performance data down to task-level times and equipment use. That data can replace slow, manual rate reviews and multi-day operational analyses. Use built-in labor analytics to set goal times, measure productivity by role or zone, and make faster staffing or process decisions.

Interleaving pairs complementary tasks so workers do useful work during travel time—for example, combining putaway with replenishment. Start small: pick a few task pairs that naturally align rather than trying to interleave everything. Well-chosen interleaving reduces empty travel without adding worker confusion.

What to avoid now: advanced slotting as a quick fix

Advanced slotting is powerful but usually requires clean historical demand data and perhaps a dedicated add-on or project. Treat slotting as a separate, scoped initiative rather than a one-click activation you expect to fix broad inaccuracies.

When to buy new tech and when not to

There's a strong temptation to layer new tools—AI, new automation, or niche systems—when operational problems appear. The practical first move is to enable and optimize functionality already in your WMS. After you've fixed fundamentals, consider targeted bolt-on tools for narrow problems (examples include converting label formats or using camera analytics for specific safety checks).

If you have internal WMS expertise, allocate time for an audit: map current pain points, inventory loss modes, and bottlenecks to dormant WMS features. If not, ask your vendor or a consultant for an operational assessment that links pains to functionality. The choice is explicit: continue bleeding money through inefficiency, or invest a short period to activate and tune existing capabilities that can pay back quickly.

More context around this story.

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