Warehouse Optimization

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/eCommerce-Skills/warehouse-optimizationThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations…

---
name: warehouse-optimization
description: "E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving efficiency. Supports all major fulfillment models: Self-fulfillment, Amazon FBA/FBM, Walmart WFS, 3PL, Shopify Fulfillment, TikTok Shop, Dropshipping, and Hybrid setups. No API key required. Use when: (1) reducing stockouts or overstock, (2) calculating safety stock levels, (3) optimizing warehouse costs, (4) improving Amazon IPI score, (5) analyzing inventory KPIs."
metadata: {"nexscope":{"emoji":"🏭","category":"ecommerce"}}
---

# Warehouse & Inventory Optimization 🏭

Diagnose and optimize your warehouse operations: analyze inventory health, calculate safety stock, reduce costs, and improve efficiency. No API key required.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -g
```

## Supported Fulfillment Models

| Model | Platform | Optimization Focus |
|-------|----------|-------------------|
| **Self-Fulfillment** | Any | Warehouse layout, staffing, pick/pack efficiency, storage costs |
| **Amazon FBA** | Amazon | IPI score, storage fees, aged inventory, restock limits |
| **Amazon FBM** | Amazon | Shipping speed, Prime eligibility, cost vs FBA |
| **Walmart WFS** | Walmart | Fulfillment fees, storage limits, Pro Seller status |
| **3PL** | Multi-channel | Provider costs, SLAs, contract optimization, hidden fees |
| **Shopify Fulfillment Network** | Shopify | Distributed inventory, delivery speed, cost analysis |
| **TikTok Shop Fulfillment** | TikTok | TikTok-specific requirements, shipping SLAs |
| **Dropshipping** | Any | Supplier reliability, lead times, stockout prevention |
| **Hybrid** | Multi-channel | Inventory allocation, channel balancing, split strategy |

## Usage Examples

```
Audit my warehouse operations. I'm self-fulfilling from a 2,000 sq ft warehouse.
500 SKUs, 3,000 orders/month. Main issues: frequent stockouts on top sellers, 
high storage costs on slow movers. Help me optimize.
```

```
I use FBA for my Amazon store. IPI score dropped to 350. I have excess inventory 
warnings on 40 SKUs. How do I fix this before I get storage limits?
```

```
Running FBM for my oversized products and FBA for standard. 200 orders/day total.
Which SKUs should I move to FBA vs keep FBM? Help me optimize the split.
```

```
Using ShipBob as my 3PL. Monthly bill is $8,500 for 2,000 orders. Is this competitive?
What should I negotiate or consider switching?
```

---

## First Interaction

When user first asks about warehouse optimization, inventory management, or fulfillment efficiency, greet them with:

```
🏭 Warehouse Optimization ready!

I'll help you diagnose issues and optimize your inventory operations.

**Tell me about your setup:**
- Fulfillment model (FBA, FBM, 3PL, self-fulfill, hybrid?)
- Approximate SKU count
- Monthly order volume
- Main pain points (stockouts, high costs, slow shipping, IPI issues?)

Or just describe your situation and I'll guide you from there.
```

---

## Handling Incomplete Input

```
To optimize your warehouse operations, I need:

**Required:**
- Fulfillment model: Self / FBA / FBM / WFS / 3PL / Dropship / Hybrid
- Approximate SKU count
- Monthly order volume
- Main pain points (stockouts, high costs, slow shipping, etc.)

**Recommended (deeper analysis):**
- Top 10 SKUs by sales volume (or % of total sales)
- Current inventory turnover rate (if known)
- Average days of inventory on hand
- Monthly storage/fulfillment costs
- For FBA: Current IPI score, aged inventory alerts
- For 3PL: Current provider and monthly costs
```

---

## Audit Workflow

### Step 1: Collect Current State Data

| Data Point | Why It Matters |
|------------|----------------|
| Fulfillment model | Determines optimization approach |
| SKU count | Complexity indicator |
| Monthly orders | Scale of operations |
| Top SKUs (% of sales) | For ABC analysis |
| Current turnover rate | Inventory health indicator |
| Days of inventory | Over/understock signal |
| Stockout frequency | Lost sales indicator |
| Storage costs | Cost optimization potential |
| Pick/pack accuracy | Quality indicator |

### Step 2: Calculate Key Metrics

**Inventory Turnover Rate:**
```
Inventory Turnover = Cost of Goods Sold (COGS) / Average Inventory Value
```
- **Benchmark:** 4-6x/year for most e-commerce (higher = better)
- **Low turnover (<4):** Excess inventory, capital tied up
- **High turnover (>8):** Risk of stockouts, tight supply chain

**Days of Inventory (DOI):**
```
DOI = (Average Inventory / COGS) × 365
```
- **Target:** 30-60 days for most products
- **Too high (>90 days):** Overstock, storage cost drain
- **Too low (<14 days):** Stockout risk

**Stockout Rate:**
```
Stockout Rate = (Days Out of Stock / Total Days) × 100
```
- **Target:** <2%
- **Impact:** Each 1% stockout ≈ 1% lost revenue

**Perfect Order Rate:**
```
Perfect Order Rate = (Orders Shipped Complete, On-Time, Undamaged / Total Orders) × 100
```
- **Target:** >95%

### Step 3: Perform ABC Analysis

Classify SKUs by revenue contribution:

| Class | % of SKUs | % of Revenue | Inventory Strategy |
|-------|-----------|--------------|-------------------|
| **A** | ~20% | ~80% | High priority, never stockout, frequent replenishment |
| **B** | ~30% | ~15% | Moderate priority, standard replenishment |
| **C** | ~50% | ~5% | Low priority, review for discontinuation |

**Recommendations by class:**
- **A items:** Safety stock = 2-4 weeks, reorder frequently, prime warehouse locations
- **B items:** Safety stock = 2-3 weeks, standard locations
- **C items:** Minimal safety stock, consider dropship or discontinue slow movers

### Step 4: Calculate Safety Stock & Reorder Points

**Safety Stock Formula:**
```
Safety Stock = Z × σd × √L

Where:
- Z = Service level factor (1.65 for 95%, 2.33 for 99%)
- σd = Standard 

Excerpt, first 6,003 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -g

git clone https://github.com/nexscope-ai/eCommerce-Skills
git -C eCommerce-Skills checkout 3e6c611584c3

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 3e6c611584c3

Questions about Warehouse Optimization

• github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-opti — the audited source at commit 3e6c611584c3 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology