wholesale deal analyzer
Vet wholesale quotes and MOQs with rigorous unit economics, inventory velocity modeling, and downside risk analysis.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentswholesale deal analyzer
Example session with this skill installed
Analyze this wholesale deal: 500 units of ergonomic office chairs at $45/unit. Shipping is $1200 total. Expected retail is $120. I sell about 40 units a month. 3PL fees are $18/unit.
- Read your context and instructions
- Compiled the wholesale deal analyzer
I have analyzed the ergonomic office chair wholesale quote. The deal shows strong unit margins but carries significant inventory duration risk for a single SKU.
Wholesale Deal Analysis: Ergonomic Office Chairs
1. Decision Snapshot
The unit economics are healthy with a 47.5% contribution margin. However, the MOQ represents 12.5 months of inventory, which is high for a single order. Proceeding depends on your ability to verify the $120 retail price point and your comfort with a year-long cash tie-up.
2. Inputs & Assumptions
| Item | Value | Status |
|---|---|---|
| Unit Cost | $45.00 | Verified |
| Shipping (Total) | $1,200.00 | Verified |
| Landed Cost/Unit | $47.40 | Calculated |
| MOQ | 500 units | Verified |
| Retail Price | $120.00 | Supported |
| Fulfillment/3PL | $18.00 | Verified |
| Sales Velocity | 40 units/mo | Hypothesis |
3. Analysis
| Dimension | Score | Evidence | Why It Matters |
|---|---|---|---|
| Landed Economics | 5/5 | $54.60 profit/unit | High margin cushions against errors. |
| MOQ Exposure | 2/5 | $23,700 total cost | Significant capital lock-up for one SKU. |
| Inventory Months | 1/5 | 12.5 months | High risk of storage fees and obsolescence. |
| Break-Even Units | 4/5 | 198 units | You only need to sell 40% of stock to recover cash. |
4. Key Risks / Gaps
- Inventory Duration: 12.5 months of stock exceeds the standard 3-4 month window, increasing 3PL storage costs.
- Price Elasticity: If the $120 retail price drops to $90 to move stock faster, margins compress by 55%.
- Sales Velocity: 40 units/month is an estimate; if actuals are 20/month, the cash cycle extends to 2 years.
5. Recommended Next Move
Primary Action: Negotiate a split shipment or a smaller test MOQ of 150-200 units, even at a 10% higher unit cost.
Supporting Actions:
- Verify the $120 price point by checking the "Sold" history of similar items on marketplaces.
- Calculate total 3PL storage fees for months 6 through 12 to find the true decay of your margin.
6. Validation Plan
| Question | Evidence Needed | Cheapest Test | Pass Signal |
|---|---|---|---|
| Will it sell at $120? | Market Data | Run $50 in PPC ads to a landing page | >2% CTR at $120 |
| Can we sell 40/mo? | Real Sales | Buy 10 units at retail from a competitor and resell | All 10 sell within 7 days |
Next steps
- Confirm if the supplier allows a "Sample Pack" of 50 units before committing to the 500.
- Check 3PL contract for "long-term storage" surcharges after 180 days.
- Run a "worst-case" scenario where you liquidate at $65/unit.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Wholesale sourcing is high-stakes. One bad Minimum Order Quantity (MOQ) can trap capital in dead stock for months. This skill provides a rigorous analytical framework for retailers and ecommerce sellers to vet quotes before signing a purchase order.
What it does
- Landed Cost Calculation translates raw quotes into true per-unit economics including shipping and fulfillment.
- Capital Exposure Analysis quantifies the total risk of the MOQ against your available cash flow.
- Inventory Velocity Modeling estimates how many months of stock you are buying based on sales forecasts.
- Downside Stress-Testing calculates break-even points and salvage values if the product requires heavy markdowns.
- Evidence Ledgering categorizes every data point as Verified, Supported, or Hypothesis to expose weak assumptions.
How it works
- Input Normalization processes your quote, MOQ, retail price, and fulfillment fees into a standard format.
- Dimension Scoring evaluates the deal across eight metrics like Cash Conversion Cycle and Markdown Tolerance.
- Risk Identification flags the three most significant uncertainties that could break the deal.
- Actionable Recommendations suggests a specific next step, such as a sample order or a counter-offer on terms.
Frameworks & tools
This skill uses proprietary retail math frameworks for unit economics, inventory management, and risk assessment. It is compatible with data from Shopify, Amazon FBA, and standard wholesale price lists.
Why this beats prompting it yourself
Generic prompts often overlook the "hidden" costs like storage fees or the impact of slow inventory turns on cash flow. This skill enforces a strict evidence-based workflow that prevents optimism bias and ensures every recommendation is tied to a specific break-even calculation.
Use cases
- Evaluating a first-time MOQ for a new private label product.
- Comparing two different supplier quotes with varying lead times and unit costs.
- Assessing if a volume discount is worth the additional capital tie-up.
- Determining the maximum acceptable markdown before a deal turns cash-flow negative.
Known limitations
Does not provide live market price scraping or supplier background checks. Analysis is limited to the data provided or researched through available search tools.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
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- 2
Unzip into your skills folder
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- 3
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