🏭 Use Case Demo · Warehouse Operations

Warehouse Slotting Optimization
AI Agent

An AI agent that analyzes your pick history, scores every SKU's velocity, and delivers a prioritized move list every morning — replacing software that charges $50k–$150k a year for the same output.

Claude AI Gemini n8n Make.com Google Sheets Airtable Gmail Outlook
📊
Order Data
→
Airtable
Airtable
→
n8n
n8n Agent
→
Claude
Claude AI
→
📍
Slot Moves
→
📨
Manager Alert
Step 1 · Overview

You're paying $100k/yr
for a spreadsheet in disguise.

Enterprise slotting software charges $50k–$150k annually to tell you where to put products. It's pure data analysis — pick frequency, zone distance, weight rules. An AI agent does it better, runs every night, and costs a fraction of the price.

🚶
The Problem: Pick Path Waste
When your fastest-moving SKUs are buried in Zone C, your pickers walk an extra 2–4 miles per shift. Multiply that across 20 pickers, 250 days a year. That's real labor cost — compounding every day you don't fix it.
🤖
The Agent: Analyze, Score, Recommend
Every night, the AI agent pulls your order history, calculates pick frequency per SKU, scores zone assignments for efficiency, and outputs a ranked move list — highest ROI first. It runs while your team sleeps.
📬
The Output: A Move List, Ready to Execute
Your manager wakes up to an email: SKU, current slot, recommended slot, estimated labor saved. Approve it, hand it to the team, start moving. No dashboard to log into, no consultant to call.
AirtableStep 2 · Data Layer

Feed it your data.
It figures out the rest.

The agent needs three data sources — all of which already exist in your operation. No new software to buy. No custom integrations on day one. Just connect what you have.

TABLE · SKU CATALOG
SKU IDDescriptionWeightVelocity
SKU-A001Widget Pro 12pk2.4 lbs9.1/day
SKU-B044Cable Set 6ft0.8 lbs5.3/day
SKU-C112Mount Kit Std4.1 lbs1.2/day
SKU-A008Filter Unit 3pk1.6 lbs8.7/day
📦 SKU dimensions ⚖️ Weight / fragility 🔄 Replenishment freq. 📅 Seasonal flags
📋 Data Source 1 — SKU Catalog
Your existing item master: SKU ID, description, dimensions, weight, replenishment frequency. Lives in your WMS, ERP, or a Google Sheet. The agent reads it directly.
📈 Data Source 2 — Order History (90 days)
How many times was each SKU picked in the last 90 days? Already in your OMS or WMS. The agent exports it or queries it via API. Even a weekly CSV drop to Google Sheets is enough.
🗺️ Data Source 3 — Current Slot Assignments
Which SKU is in which bin location right now. A spreadsheet, a WMS export, or an Airtable base. The agent compares current vs. optimal and calculates the gap.
⚡ No WMS integration required to start
Start with flat files. Once the ROI is proven, Omni connects directly to your WMS API — Manhattan, Blue Yonder, NetSuite, or custom — for fully automated bi-directional sync.
ClaudeStep 3 · AI Engine

Not guessing.
Actually reasoning.

Claude analyzes your warehouse data the way a seasoned slotting consultant would — but in under a minute, at 3am, every single night.

🔢 Pick Frequency Scoring
Every SKU gets a velocity score from 90-day pick history, weighted for recency. A SKU picked 8x/day last week outranks one that averaged 8x/day but dropped off last month.
📏 Zone Distance Analysis
The AI maps your zone layout and calculates round-trip travel time from each slot to the dock. High-velocity items far from the dock get flagged first — that's your highest-ROI move.
⚖️ Ergonomics & Weight Rules
Heavy items get mid-level slots. Fragile items get lower shelves. Bulky items near dock exits. You define the rules once — the AI applies them to every recommendation, every time.
📆 Seasonal Surge Detection
When a SKU's velocity spikes week-over-week, the agent detects the trend and recommends a slot upgrade before the surge hits — not after your pickers are already running for it.
🎯 ROI-Ranked Output
Every recommended move includes estimated minutes saved per day and a priority score. Your team executes the highest-impact moves first — even if capacity only allows 10 moves that week.
CLAUDE · ANALYSIS PROMPT (SIMPLIFIED)
You are a warehouse slotting consultant.

Given:
— SKU catalog with dims + weight
— 90-day pick history by SKU
— Current slot map (zone + bin)
— Zone distances to dock (ft)
— Ergonomic rules (weight limits per level)

Score each SKU's current slot assignment.
Identify zone mismatches where velocity
does not match proximity to dock.

Return a JSON array sorted by
estimated_daily_minutes_saved, each item
containing: sku, current_slot, rec_slot,
velocity_score, minutes_saved, priority,
and a plain-English reason.
Model: Claude 3.5 Sonnet · also compatible with Gemini 1.5 Pro
n8nStep 4 · Automation Workflow

Runs every night.
Zero human involvement.

n8n orchestrates the entire workflow — pulling data, calling the AI, writing results, and firing alerts — on a nightly schedule. Set it once. Let it run.

WORKFLOW · NIGHTLY SLOTTING ANALYSIS
1
🕑
Schedule Trigger — 2:00 AM nightly
cron: 0 2 * * * · or trigger on-demand via webhook
2
Sheets
Pull 90-Day Pick History from Sheets
Aggregate picks by SKU · calculate velocity scores
3
Airtable
Fetch SKU Catalog + Current Slot Map
Airtable API · SKU master table + slot assignments
4
Claude
Send Merged Data to Claude for Analysis
Structured prompt → returns JSON move recommendations
5
Airtable
Write Move Queue to Airtable
New records in "Move Queue" table · status: Pending
6
Sheets
Export Print-Ready Move List to Sheets
Formatted for floor team · sorted by priority
7
Gmail
Email Summary to Warehouse Manager
Top moves · total time savings · Sheets link attached
⚡ Why n8n?
n8n runs self-hosted, meaning your warehouse data — pick history, SKU catalog, slot map — never leaves your environment. For operations with sensitive inventory data, that matters.
🔄 Or use Make.com instead
Prefer no-code? The same workflow runs in Make.com with a visual canvas, no server to maintain, and 5-minute setup. Omni builds it either way.
🔗 WMS Integration (optional upgrade)
If your WMS has an API — Manhattan Associates, Blue Yonder, NetSuite WMS — n8n connects directly. No CSV exports. Full bi-directional sync: recommendations in, approvals out.
⏱️ Runtime: ~45 seconds
For a 500-SKU catalog, the full cycle — data pull, AI analysis, output, alert — completes in under a minute. For 5,000+ SKUs, batched processing keeps it under 10 minutes total.
Step 5 · Warehouse Slot Map

See the difference.
Toggle it yourself.

This is what the AI actually produces — a before-and-after view of your warehouse floor. Toggle between current and optimized. Watch the high-velocity SKUs migrate to Zone A.

Warehouse Floor · Zones A–C · 48 Slot Positions
High Velocity Medium Slow-Moving
ZONES
ZONE A
Near Dock
ZONE B
Mid Floor
ZONE C
Far End
🚚 DOCK
← Receiving / Shipping
Avg Pick Travel
47 ft
per pick, current layout
Misplaced High-Vel SKUs
31
in Zone B or C — should be Zone A
Est. Daily Labor Waste
4.2 hrs
unnecessary picker travel time
Step 6 · Move Recommendations

Exactly what to move.
Ranked by impact.

The agent's output isn't a vague report — it's a prioritized action list your team can execute immediately. Filter by urgency. Highest ROI moves first.

#SKUDescription Current SlotRec. Slot Picks/DayTime SavedPriority
📊
Total estimated savings across all 47 recommended moves: 3.8 hrs/day · $34,200/yr in labor at $25/hr avg · Executable in a single weekend shift.
GmailStep 7 · Manager Alerts

Your manager gets
a briefing, not a task.

The agent composes and sends a structured report every morning. Gmail or Outlook — it lands in their inbox, formatted, prioritized, and ready to action. No new portal to check.

ALERT TYPES
🌙 Nightly Move Report
Full prioritized move list with time estimates. Sent at 3am, ready when the team arrives for the morning shift.
⚠️ Seasonal Surge Alerts
When pick velocity on a SKU spikes more than 20% week-over-week, an immediate alert fires independently of the nightly report.
📊 Weekly Efficiency Summary
Moves completed, labor hours recovered, efficiency vs. prior week. The number your ops director wants to see on Monday morning.
📨 Gmail + Outlook compatible
Delivered via Gmail / Google Workspace or Outlook — wherever your team already lives.
Step 8 · Outcome

The numbers that
make the CFO pay attention.

Slotting optimization is one of the highest-ROI projects in warehouse operations — and one of the most neglected because it's been manual or locked behind expensive contracts. That changes now.

28%
Average reduction in pick travel distance after first optimization cycle
3–5×
ROI vs. annual cost of enterprise slotting software contracts
$0
Ongoing license fee — runs on infrastructure you already pay for
48h
From kickoff to first live nightly report — typical Omni deployment
Daily
Analysis frequency — vs. quarterly re-slotting typical of manual processes
100%
Every recommendation includes a plain-English reason and time savings estimate
💬
"We were paying $80k a year for slotting software that ran a report once a quarter. This agent runs every night and gives us a move list we can action the same morning. We cut the contract within 60 days of going live."
— VP of Operations, Regional Distribution Center · 280,000 sq ft facility
ℹ️
Conceptual Demo Notice: This page is an interactive concept demonstration of an AI-powered warehouse slotting optimization workflow. The UI, warehouse grid, slot data, metrics, and move recommendations shown are illustrative only and do not represent a finished product or specific client implementation. Actual results, system architecture, and integrations will vary based on your warehouse management system, data structure, tech stack, team size, and operational requirements. The testimonial shown is representative of the category of outcomes this type of system can produce, not a verified client reference. Omni Online Strategies designs and builds custom AI automation solutions — every engagement is scoped and built to your specific environment.
Josh Leavitt — Founder, Omni Online Strategies
From the founder
"Slotting is one of the highest-ROI opportunities in warehouse ops — and it's been locked behind enterprise contracts for decades. That's the exact kind of problem AI agents are built to solve."
Every warehouse ops team I've spoken with has the same frustration — they know their slotting is inefficient, they know high-velocity SKUs are in the wrong zones, but fixing it feels like a massive project that never gets prioritized. Meanwhile, they're either paying for software that runs a report once a quarter or relying on a consultant to do a manual re-slot every six months.

The agent we build does what that software does — minus the contract, the implementation timeline, and the quarterly cadence. It runs every night, it explains every recommendation, and your team can start executing by 8am. That's the version of this that should exist for every mid-sized distribution operation.
Josh Leavitt
Founder & CEO · Omni Online Strategies
Talk to Josh → Book a Scope Call