Most warehouses don't know how much labor their layout is wasting.

Run a free slotting analysis. Get a clear picture of exactly where your layout is creating unnecessary labor cost — before committing to anything.

No integration project. No warehouse redesign. Works with your existing operation as-is.

Describe your operation · Receive specific findings · No commitment required

Works with:SAP EWMOracle WMSManhattan AssociatesInfor WMSAny system

Before — layout as found

A-class scattered · golden zone underused · 3 aisles congested

Pack station
deep storage →
★ golden zone
A-class — scattered (costly)congested aislelow-velocity

Travel per pick

28.4 m

avg — A-class picks

Golden zone

14%

A-class in prime slots

Congested aisles

3

overloaded right now

The problem

What we tend to find

Most operations track labor spend — few track how much of it comes from layout decisions made years ago. Not every warehouse has the same problem, but these four patterns show up often enough that they're worth checking first.

A-class SKUs placed far from pack stations

The most-picked items often end up wherever there was space when they arrived. Over time, this means your fastest movers may be in your slowest locations — generating the most unnecessary travel.

Check: Where are your top 50 SKUs by pick frequency located relative to the dock?

Slow-moving SKUs still occupying premium slots

SKUs that were once high-velocity but have since slowed down often stay in the slots they were originally assigned. Premium aisle space fills with items that no longer justify it.

Check: When did your last slot review happen? Which SKUs have changed velocity since then?

Travel concentrated in a few aisles

When items are stored by category rather than velocity, pickers make the same long trips repeatedly. A small number of aisles often generate a disproportionate share of total travel.

Check: Which three aisles are visited most per shift? Are your fastest movers near them?

Re-slotting gains fading within months

After a slotting project, gains typically hold for 3–6 months before velocity drift erodes them. Without a way to measure the decay, most teams don't notice until labor costs creep back up.

Check: When was your last slotting project? Has anyone measured whether it's still holding?

These are starting hypotheses, not guarantees. An assessment checks whether they apply to your warehouse. Some won't. That's the point.

Assessment scope

What the assessment covers

Three phases: establish a baseline, surface the highest-impact signals, return ranked recommendations — with estimates, not guarantees.

What's there now01

The baseline

  • Pick-path patterns by aisle
  • Slot utilization rates
  • Velocity distribution across zones
  • Mispick indicators
What might be happening02

Early signals

  • Likely high-cost SKU placements
  • Candidate slot moves to explore
  • Velocity mismatch clusters
  • Approximate labor impact if found
What we'd return to you03

The output

  • Prioritized suggestions
  • ROI estimate (labeled as estimate)
  • Written summary
  • Walkthrough call with a founder

No inflated benchmarks. The analysis surfaces real patterns from your operation and ranks the most actionable opportunities — you decide what to act on.

How it works

From your current operation to ranked
improvement opportunities — same day.

Four steps. Your team decides what to act on at every stage. Click any step to explore it.

What you'd actually receive

Sample assessment output

Every suggestion includes the reasoning behind it. Nothing moves until your team decides to act.

Wareintel Assessment

Warehouse A · Sample · May 2026

38 suggestions foundPending your review

Est. recoverable hours

~0h/mo

if all executed · estimate

SKUs likely misplaced

0SKUs

velocity mismatch

Priority zones flagged

0zones

aisles K–N · highest first

Suggestions · ranked by impactClick any row to see the reasoning

Why this was flagged

A-class SKU placed 14 aisles from the pack station. Slot B-03-08 is currently occupied by a C-class SKU picking fewer than 80 times/month — a likely swap candidate with minimal disruption.

Your team's controls:Approve moveDismissFlag for later
+ 35 more suggestions · ranked by estimated impact

Every suggestion includes the full reasoning. Your team reviews each one and decides what to approve. All impact figures are estimates — labeled clearly throughout.

Scenario model

Get a directional sense of what might be at stake.

Three scenarios based on industry benchmarks. Not a forecast — actual results vary by warehouse size, SKU mix, and current layout.

Try a profile:
30
5200
$22/hr
$12$55
250
50365
ScenarioPotential hoursDirectional value
Conservative
if ~15% travel reduction found
5,400 h~$119k
Typicalmost common
if ~25% travel reduction found
9,000 h~$198k
Aggressive
if ~35% travel reduction found
12,600 h~$277k

Assumes 60% walk fraction and 8-hour shifts. Directional only — actual findings vary by warehouse.

Get my free assessment

Why we built this

Why we built Wareintel

We found it while building a fulfilment system. Then heard it everywhere else.

We were building a fulfilment system when we first ran into it. The WMS had years of pick data — but nothing was connecting that data to where SKUs actually lived on the floor. Slot placement was managed by intuition and infrequent projects. The signal was there. Nobody was reading it.

We started talking to other warehouse ops leaders. The same gap kept coming up. Existing tools generate reports. Consultants generate projects. Neither answered the question that seemed most useful: which specific slot changes are worth exploring right now?

The projects were too large and infrequent. The reports didn't connect to action. And nobody was tracking whether changes that did get made were still working six months later.

We're still early. We'd rather test on a real warehouse than speculate about whether it works.

"

Wareintel started as an attempt to answer a simple question: which slot changes are actually worth making this week?

The Wareintel team

hello@wareintel.io

Early Pilot Program

A small cohort of warehouse teams getting a free layout analysis — with direct founder access throughout.

Every warehouse is different. Some will have significant untapped opportunity. Others will have less. Either way, you leave with a concrete picture of your operation that you didn't have before — at no cost.

Even a clean result is useful — you'll know where you stand.

What you get

  • A clear picture of exactly where your layout is costing you labor
  • Ranked slot-change recommendations with estimated impact
  • An ROI estimate — clearly labeled as an estimate
  • Direct access to the founders throughout
  • Input into how the product develops

What we ask

  • A 30-minute call to walk through your operation
  • Set up your warehouse layout
  • Honest feedback on which findings are useful and which aren't
  • Openness about what worked and what didn't

No ERP access. No IT project. No commitment to continue.

Common questions

Honest answers to the questions we hear most from operations teams.

WMS slotting modules let you define rules and run periodic re-slotting. That's useful, but it's different from what we're exploring: looking at actual pick velocity outcomes and asking which specific slot changes might be worth making now, given today's SKU mix. WMS slotting is a configuration tool. Wareintel is an analysis lens. Most teams that pilot it run both.

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Find out exactly where your layout is costing you.

Free layout analysis. Ranked findings. Honest results — even if the answer is that your operation is already well-optimized.

hello@wareintel.io · We respond within one business day