Slotting. Productivity.
WMS Intelligence.
All Solved.
We build custom AI systems that connect to your existing WMS and turn your operational data into a live intelligence layer — optimizing slotting, scoring productivity in real time, and closing inventory accuracy gaps. No WMS replacement required.
Figures are benchmarks from comparable warehouse engagements. Results vary by operation, scope, and baseline. Not a guarantee.
What's Slowing Your Warehouse Down
These four problems are common across warehouse operations. They're measurable, they're expensive, and they're solvable with AI.
Poor Slotting — Top SKUs in the Wrong Location
20–30% of travel time is wasted because high-velocity SKUs are slotted by gut feel, not velocity data. Pickers walk past empty slots to reach items that should be at the front of the pick path.
Productivity Blind Spots
You know your picks-per-hour at the shift level. You don't know which zone, which pick type, or which time of day is dragging the average down. Without granular data, you're coaching in the dark.
WMS Reports That Are Always Behind
Your WMS has the data. But the reports are T+1, the dashboards are static, and the KPIs are whatever someone decided to track three years ago. Operations managers need live intelligence, not lagging exports.
Inventory Accuracy Gaps
Most warehouses run at 97–98% inventory accuracy. That 2–3% gap causes stockouts, phantom inventory, and customer service failures. AI-driven cycle count prioritization closes the gap to 99.5%+.
Six AI Systems Built for Warehouse Operations
Every use case below has been deployed in a real warehouse operation. We don't sell software — we solve operational problems.
AI-Driven Slotting Optimization
AI analyzes pick velocity, SKU weight, pick frequency, and order profiles to generate an optimal slot assignment. Reduces travel time 20–30% without a WMS upgrade.
Real-Time Productivity Dashboard
Live picks-per-hour by zone, worker, shift, and pick type. Supervisors see gaps as they happen — not at the end of the shift. Engineered labor standards built in from day one.
WMS Intelligence Layer
Read-only API connection to SAP, Manhattan, Oracle, or any WMS. Industrial engineers architect your KPIs. Live dashboard replaces lagging reports. No WMS replacement required.
Receiving Workflow AI
AI monitors inbound flow from dock appointment through put-away. Auto-classifies inbound freight, routes to the right zone, and flags receiving bottlenecks before they back up the dock.
Inventory Accuracy AI
AI scores every SKU by accuracy risk — based on pick frequency, transaction volume, and historical discrepancy rate. Prioritizes cycle counts where they matter most. Closes the gap to 99.5%+.
Demand-Driven Replenishment
AI predicts replenishment needs by zone and SKU based on order velocity and inbound schedule. Eliminates stockouts in pick locations and reduces emergency replenishment labor.
From Operations Review to Live AI in 8 Weeks
Operations Review
2 days on-site. We map your slotting logic, productivity gaps, WMS reporting, and inventory accuracy program.
Use Case Prioritization
We rank AI opportunities by ROI and speed-to-value. Slotting and productivity dashboards are typically first.
WMS Integration
Read-only API connection to your WMS. No system changes. No IT project required.
Live AI Layer
Slotting recommendations, productivity dashboards, inventory accuracy scoring, and receiving intelligence go live.
We Connect to Your Existing WMS
Read-only API integration. Your WMS stays as the system of record. Zero risk to operations.
+ any WMS or ERP with an API
Full Refund If You Don't See the Value
The Operations Review is $10,000 flat. Two days on-site. Report in 7 days. If you don't walk away with a clear picture of your top AI opportunities — we refund every dollar. No questions asked.
Frequently Asked Questions
How does AI-driven slotting work?
We pull 90–180 days of pick history from your WMS and run it through an optimization model that accounts for pick velocity, SKU weight, pick frequency, and order profile. The model generates a recommended slot assignment that minimizes travel time. We validate it with your operations team before any physical moves happen.
Do we need to replace our WMS to use AI?
No. We connect to your existing WMS — SAP, Manhattan, Oracle, Infor, or any system with an API — via read-only integration. Your WMS stays as the system of record. The AI layer adds intelligence on top without touching your core system.
What does a real-time productivity dashboard show?
Picks per hour by zone, worker, shift, and pick type. Travel time by zone. Replenishment frequency and timing. Dock-to-stock cycle time. All live, not T+1. Supervisors see the gaps as they happen and can intervene before the shift ends.
How long does it take to improve inventory accuracy?
AI-prioritized cycle counting typically shows measurable improvement within 30–60 days. We score every SKU by accuracy risk and generate a daily cycle count list that focuses effort where it matters most. Most operations move from 97–98% to 99.5%+ within a quarter.
What is the Operations Review for a warehouse?
Two days on-site with a principal industrial engineer. We map your slotting logic, productivity measurement, WMS reporting gaps, and inventory accuracy program. We identify the top 3–5 AI opportunities ranked by ROI and deliver a written report with implementation roadmap in 7 days. $10,000 flat fee. Full refund if you don't see the value.
Turn Your WMS Data
Into a Live Intelligence Layer
Book an Operations Review. Two days on-site with a principal industrial engineer. A written report in 7 days. A clear AI roadmap for your warehouse. $10K flat fee — full refund if you don't see the value.
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