amazon-global-selling

# Amazon Global Selling

Produce an evidence-bounded marketplace shortlist and a gated expansion plan covering opportunity, unit economics, compliance, operations, localization, and launch readiness.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-global-selling -g
```

## Capabilities

- Compare candidate Amazon marketplaces using a consistent decision model.
- Build a directional landed-economics model with explicit assumptions.
- Map tax, customs, product, packaging, producer-responsibility, and account questions for qualified review.
- Compare cross-border fulfillment, local inventory, FBA, and 3PL operating models.
- Create a listing-localization and launch-validation brief.
- Recommend a pilot market and define go, hold, and stop gates.

## Usage Examples

```text
Should I expand my Amazon US kitchen brand to the UK or Germany first?
```

```text
Compare Canada, Japan, and Australia for this ASIN and show what evidence is still missing.
```

```text
Build a 90-day Amazon Europe expansion plan, but do not guess VAT or compliance requirements.
```

```text
I sell a battery-powered product. Create the questions I need to resolve before choosing a new marketplace.
```

## Inputs and Collection

Use supplied evidence first. Collect:

- current marketplace, account status, ASINs, product category, and brand ownership;
- candidate marketplaces and business objective;
- selling price, product cost, dimensions, weight, shipping origin, incoterms, and return assumptions;
- sales history, conversion, seasonality, keyword data, competitor evidence, and review insights;
- product materials, power or battery details, intended use, age grading, claims, certifications, and documentation;
- fulfillment preference, inventory budget, launch budget, timeline, and risk tolerance;
- localization assets, trademark position, importer-of-record plan, and access to tax or compliance professionals.

If critical inputs are missing, ask one consolidated follow-up. If the seller needs an initial screen, continue with ranges and label every unknown that could change the recommendation.

## Workflow

### 1. Define the Decision and Evidence Boundary

State the target decision, evaluation date, candidate marketplaces, product scope, and evidence inspected.

Use three labels:

- **Confirmed:** supported by seller data or an inspected current source.
- **Directional:** derived from an explicit assumption or proxy.
- **Unresolved:** requires Seller Central, a current official source, a provider quote, or qualified advice.

Do not invent search volume, sales, fees, tax rates, duties, certification needs, account eligibility, or market share.

### 2. Screen for Hard Gates

Before scoring demand, check whether any candidate market has unresolved gates:

- product eligibility or restricted-product status;
- safety, labeling, language, testing, documentation, or responsible-person requirements;
- dangerous-goods, battery, chemical, cosmetic, food, medical, children's product, or radio-equipment implications;
- trademark, brand authorization, or listing-control risks;
- importer-of-record, customs, tax registration, invoicing, or producer-responsibility obligations;
- available fulfillment route and return handling;
- account, identity, banking, or payout readiness.

Do not convert an unresolved legal or compliance question into a negative conclusion. Mark the market **Hold for verification** when the answer can change feasibility.

### 3. Build the Market Comparison

Evaluate only dimensions supported by evidence:

| Dimension | Typical evidence | Decision use |
|---|---|---|
| Demand | seller search/query data, sales history, current category and competitor observations | estimate buyer interest |
| Competition | relevant listings, price bands, ratings/reviews, brand concentration, offer quality | assess entry difficulty |
| Economics | price, currency, referral/FBA fees, freight, duty, tax treatment, returns, ads | estimate contribution margin |
| Operational fit | lead time, inventory placement, returns, customer service, replenishment | assess execution burden |
| Compliance readiness | documented requirements and seller-held evidence | determine go or hold |
| Localization effort | keyword, language, images, measurements, cultural fit, support | estimate launch work |
| Strategic fit | brand objective, catalog reuse, expansion sequence, capital | prioritize the pilot |

If numerical scoring is useful, define weights before scoring, show the formula, and leave unsupported dimensions unscored rather than fabricating precision.

### 4. Model Directional Unit Economics

Use a transparent per-unit model:

```text
Net proceeds before tax treatment
= customer price and seller-paid shipping
- marketplace referral and closing fees
- fulfillment or local delivery fees
- inbound freight and handling
- duty, customs, and brokerage estimates
- storage, returns, removals, and disposal allowance
- advertising and promotion allowance
- currency conversion and payout costs
- product and packaging cost
= directional contribution per unit
```

Show source, date, currency, range, and confidence for every material input. Keep VAT/GST/sales-tax treatment separate until a qualified professional confirms how prices, collections, credits, and registrations apply to the seller.

Run at least base, downside, and stress cases. Do not recommend a market only because the top-line price is higher.

### 5. Choose an Operating Model

Compare relevant options rather than assuming local FBA is always best:

- fulfill cross-border from the current country;
- send inventory to a destination-country Amazon fulfillment network;
- use a local 3PL or distributor;
- pilot with merchant fulfillment before local inventory;
- defer the market until compliance or economics improve.

Assess customer promise, landed cost, inventory exposure, returns, customs responsibility, tax implications, and operational complexity. Label any S