mcpbeat

Supply Chain Optimization Walmart

nexscope-ai/supply-chain-optimization-walmart

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.

10k tokens
context cost
the whole folder, loaded on every use
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
570
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart

What comes with it

35 164 bytes besides the instruction
scripts/calculator.py
scripts/report_doc.py
scripts/report_html.py

The instruction itself

12 sections, as written by the author

Supply 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.

How to use it

Copy the folder

Take nexscope-ai/supply-chain-optimization-walmart from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.