Warehouse Operations

You bill by the pallet.You lose money by the walk.

Every extra step a picker takes is margin you don't invoice. But the real losses aren't in any single pick. They're in the slotting that hasn't been updated since the last client onboarding, the shift that runs six people deep on a day that needed four, the cycle count that found 200 units of product that should have shipped last Tuesday. We embed with your team, map every facility, process, and billing gap, and deploy AI specialists that close them. Not a dashboard. Real operational change, from week one.

The Problem

Where the money
is going.

Cost

Labor Planning & Temp Spend

Monday needs 40 pickers. Wednesday needs 22. But you staffed 35 both days because the volume forecast was a gut call from the shift supervisor. Overstaffing on slow days burns payroll. Understaffing on peak days triggers temp agency calls at $4-6/hr premiums. And the temps don't know your layout, so their pick rate runs 30-40% below your regulars for the first two weeks.

Process

Slotting Drift & Travel Time

When you set up the slots, the fastest movers were in the golden zone. That was three clients ago. Now your highest-velocity SKUs are buried in the back of aisle 12 because nobody re-slotted after the last onboarding. Pickers walk past slow-moving pallets to reach fast-moving cases twenty times a shift. The WMS knows where everything is. It doesn't know where everything should be.

Risk

Inventory Accuracy & Lost Product

Cycle counts keep finding discrepancies. A pallet gets put away in the wrong location and the RF scanner confirms it because the clerk scanned the location label, not the license plate. Product sits in deep storage for weeks past its ship window. Mislabeled cases get picked for the wrong client. Your WMS says 99.5% accuracy. Your clients experience something closer to 97%.

Cost

Client Billing Leakage

You charge for storage, handling, and value-added services. But the warehouse floor runs on tribal knowledge about which client gets charged for re-palletizing, which one has free receiving on Tuesdays, and which contract includes kitting at no extra cost. Every unbilled touch is margin you gave away. The billing team reconciles from WMS transactions that don't capture half the actual labor.

How We Work

Three steps. Hands on.

We embed with your team, map your operation, find what no one could see, and deploy specialists that fix it. You get a dedicated team, not a login.

01

Map

We start with a structured discovery. Our team interviews every warehouse manager, shift supervisor, picker, receiving clerk, and inventory control specialist across your facilities. We connect to your WMS, labor management system, and billing platform. The result is your Blueprint: a complete, live map of how your warehouse operation actually runs, from inbound receiving through putaway, pick, pack, and ship.

02

Uncover

We analyze everything we mapped. Our platform finds the slotting gaps adding travel time, the labor patterns that don't match volume, the put-away errors driving inventory discrepancies, the billable services your team performs but never invoices. We validate every finding with your team before acting on it. Not a one-time audit. Always running, always finding more.

03

Execute

Every finding comes with a concrete plan and a deploy button. We build AI specialists that handle the fix end to end. Rebalance slotting to match current velocity, align staffing plans to forecasted volume, flag billing gaps before month-end close. You approve, they run. We stay with you to make sure they deliver.

Example Findings

What Yield typically finds.

Based on a typical mid-market company with $20M–$50M in annual revenue.

Cost

Overstaffing Waste from Inaccurate Volume Forecasts

$263K/yr

Cost

Unbilled Value-Added Services Across Client Contracts

$158K/yr

Cost

Temp Agency Premiums from Reactive Staffing Calls

$79K/yr

Process

Picker Travel Time Lost to Stale Slotting

20 hrs/wk

Knowledge

Putaway Exceptions Handled by Tribal Knowledge

52 locations

In Practice

See it work.
From day one.

Week 1

Discovery

We talk to your entire operation.

AI-led conversations with every warehouse manager, shift lead, picker, receiver, and inventory specialist. Not surveys. Real conversations that capture the workarounds, the slotting shortcuts, the put-away judgment calls, and the billing exceptions no system records.

100%of your team interviewed

Month 1

Blueprint + First Savings

Your Blueprint is live. Agents are saving money.

A complete, verified map of how your warehouses work, from inbound dock to outbound trailer. The first slotting, labor, and billing opportunities are identified, and AI specialists are already in production closing the gaps.

30 daysto first value

Ongoing

Continuous Returns

Savings compound. Every quarter.

Yield keeps finding inefficiencies, deploying specialists, and compounding savings. Slotting adapts as client SKU profiles change. Labor planning sharpens with every seasonal cycle. Billing accuracy tightens as new contracts onboard. The platform pays for itself and keeps going.

10xcost recovered in year one

FAQ

Common questions.

Every time we onboard a new 3PL client, our pick rates drop for weeks because slotting gets disrupted. Can Yield prevent that?

Client onboarding is one of the biggest hidden costs in 3PL warehousing because nobody re-slots proactively. The new client's SKUs get assigned to whatever locations are open, which pushes high-velocity product into dead zones. Yield maps your current velocity profiles against your slot assignments continuously. When a new client onboards, it generates a re-slotting plan that accounts for the new SKU mix before the first pallet hits the floor. One 3PL operator told us their pick rate used to drop 18% for three weeks after every onboarding. After Yield, the drop was under 4%.

Our RF scan putaway error rate is supposedly under 1%, but our cycle counts keep finding product in the wrong locations. What's actually going on?

RF scan putaway errors are underreported in almost every warehouse we map because the scanner confirms the location, not the action. A clerk scans the location barcode, the system says confirmed, but the pallet goes one slot over because the actual location was full. The WMS thinks accuracy is 99.5%. Your cycle counts say otherwise. Yield cross-references putaway confirmations against downstream pick exceptions, cycle count adjustments, and client complaints to surface the real error rate and pinpoint which zones, shifts, and clerks produce the most discrepancies.

We staff up with temp agencies every peak season and it destroys our labor cost per unit. Is there a way to forecast temp labor needs more accurately for warehouse operations?

The problem is most warehouses forecast volume at the building level and translate it to headcount with a flat ratio. But volume doesn't hit evenly across shifts, zones, or task types. You might need 40 pickers Monday morning but only 22 by Wednesday, while your receiving dock is slammed all week. Yield maps your volume patterns by shift, zone, and task type against your actual labor deployment. It builds a staffing model that tells you exactly how many temps to request, for which shifts, and for which tasks. That precision cuts both overstaffing on slow days and the panic calls to the agency at 6 AM.

Our billing team spends days every month reconciling value-added service charges across different 3PL contracts. Can Yield actually fix billing leakage in a multi-client warehouse?

Billing leakage in 3PL is almost always a knowledge problem, not a system problem. One client gets re-palletizing billed at $4.50 per pallet while another gets it free because someone negotiated that during onboarding and never told the warehouse floor. Yield maps every billable activity to every contract and compares what the warehouse actually performs against what the billing system invoices. It deploys a specialist that flags unbilled touches in real time, before month-end close, so your billing team is reconciling exceptions instead of reconstructing the entire month.

See what Yield finds in
your warehouses.

30 days. Real results. Or walk away.