Your warehouse layout is wasting labor. We'll show you exactly how much.

A slotting copilot for your ops team — it pinpoints where your layout adds avoidable labor cost and ranks the changes worth making. Your team stays in control of every move. Free to start, no commitment.

No integration project. No redesign. Works with your operation exactly as it runs today.

Describe your operation · Get specific findings · No commitment

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 teams track labor spend — few track how much of it traces back to old layout decisions. These four patterns show up often enough to check first.

A-class SKUs placed far from pack stations

Top movers often land wherever there was space — so your fastest SKUs sit in your slowest locations, driving the most travel.

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

Slow-moving SKUs still occupying premium slots

Once-fast SKUs slow down but keep their original slots. Premium aisle space fills with items that no longer earn it.

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

Travel concentrated in a few aisles

Store by category instead of velocity and pickers repeat the same long trips — a few aisles drive most of the total travel.

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

Re-slotting gains fading within months

Slotting gains hold 3–6 months, then velocity drift erodes them. With no way to measure the decay, teams notice only when labor costs creep back.

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

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

How it works

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

Four steps. The copilot surfaces and recommends; 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 assessment

Why we built this

Why we built Wareintel

We hit this while building a fulfilment system. The WMS held years of pick data — but nothing tied it to where SKUs actually sat on the floor. Slotting ran on intuition. The signal was there; nobody was reading it.

Other ops leaders had the same gap. Tools generate reports. Consultants generate projects. Neither answers the question that matters: which slot changes are worth making right now?

We're early by choice — working directly with a handful of warehouses to prove the impact on real operations, not slideware.

"

Wareintel exists to answer one question, clearly: which slot changes are actually worth making this week?

The Wareintel team

hello@wareintel.com

Early Pilot Program

We're taking a small cohort of warehouse teams through a free layout analysis — with direct founder access throughout.

Every warehouse is different. Some have real untapped opportunity, others less. Either way, you leave with a concrete picture of your operation — 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
  • A look at your current layout and pick data
  • 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 lets you set rules and run periodic re-slotting. We do something different: read actual pick-velocity outcomes and flag which specific changes are worth making now, for today's SKU mix. WMS slotting is a configuration tool; Wareintel is an analysis lens. Most teams run both.

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Find out exactly where your layout is costing you.

Free layout analysis. Ranked findings. Honest results — even if it turns out your operation is already well-optimized.

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