Supply Chain Optimization Walmart Agent Skill
Supply Chain Bottleneck Analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. Includes comparison with Amazon FBA, lower storage fee optimization, and Walmart Connect ad spend analysis. No API key required for basic analysis.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmartWhat comes with it
35 164 bytes besides the instructionThe instruction itself
12 sections, as written by the authorSupply Chain Optimization — Walmart 📦
Supply chain bottleneck analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart -g
Platform Characteristics
| Feature | Walmart | vs Amazon |
|---------|---------|-----------|
| Fulfillment | WFS (Walmart Fulfillment Services) | FBA |
| Commission | 6-15% (by category) | 8-15% |
| Payment cycle | 14-21 days | 14 days |
| Storage fees | Lower | Higher |
| Long-term storage | No extra fee | Yes |
Cost Structure (Walmart)
Selling Price $XX
├── Product Cost
├── Inbound Shipping
├── WFS Fulfillment Fee (similar to FBA)
├── WFS Storage Fee (lower than FBA)
├── Referral Fee (6-15%)
├── Advertising (Walmart Connect)
└── Net Profit
Benchmark Configuration
BENCHMARKS = {
"walmart": {
"gross_margin": {
"healthy": 0.35, # Walmart commission lower, benchmark can be lower
"warning": 0.25,
"danger": 0.15
},
"shipping_ratio": {
"healthy": 0.06, # WFS shipping slightly higher
"warning": 0.10,
"danger": 0.15
},
"inventory_days": {
"healthy": 45,
"warning": 60,
"danger": 90
},
"cash_cycle": {
"healthy": 100, # Payment cycle slightly longer
"warning": 130,
"danger": 160
},
"net_margin": {
"healthy": 0.18,
"warning": 0.10,
"danger": 0.05
}
}
}
API Integration
Walmart Marketplace API
export WALMART_CLIENT_ID="xxx"
export WALMART_CLIENT_SECRET="xxx"
Available Data
| Data | API |
|------|-----|
| Orders | Orders API |
| Inventory | Inventory API |
| Fee Reports | Reports API |
Usage Flow
Same 4-step process as Amazon version:
- Business profile collection
- Supply chain data collection
- Bottleneck diagnosis
- Cost reduction plan output
Input Data
**Sales (Walmart-specific)**
• Average Selling Price: $___
• WFS Fulfillment Fee: $___/unit
• Referral Fee Rate: ___%
• Walmart Connect Ad Spend Ratio: ___%
**Inventory**
• Current Inventory Days: ___ days
• (Walmart has no long-term storage fees)
vs Amazon Comparison
| Item | Amazon | Walmart |
|------|--------|---------|
| Fulfillment | FBA | WFS |
| Storage fees | High | Low |
| Long-term storage | Yes | No |
| Commission | 8-15% | 6-15% |
| Payment cycle | 14 days | 14-21 days |
| Traffic | High | Medium |
Key Advantages
- No long-term storage fees — Better for slow-moving inventory
- Lower referral fees — 6-15% vs Amazon's 8-15%
- Lower storage costs — WFS storage cheaper than FBA
- Growing marketplace — Less competition than Amazon
Part of Nexscope AI — AI tools for e-commerce sellers.
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How to use it
Take nexscope-ai/supply-chain-optimization-walmart from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.