# Dynamic pricing for ecommerce Human Guide

## What This Is For
Design a controlled dynamic-pricing or repricing system for ecommerce products. It gives the agent a clearer input/output frame for go-to-market work: what context to ask for, what decisions to make, and what usable artifact to return.

Use this as a human-readable version of the Dynamic pricing for ecommerce agent skill. It is meant for marketers, operators, founders, and other non-coders who want the workflow without reading agent-specific implementation instructions.

## When To Use This
- Use this when you need a repeatable process for dynamic pricing for ecommerce.
- Use this when the task needs judgment, examples, constraints, or a clear output format rather than a one-off prompt.
- Use this when you want to hand an AI assistant enough context to produce a usable marketing artifact.

## When Not To Use This
- Do not use this when you only need a quick factual answer.
- Do not use this when the work depends on private data you cannot share with the assistant.
- Do not use this as a replacement for legal, compliance, financial, or medical review.

## What You Need Before Starting
- The goal or business outcome you want.
- The audience, customer segment, or market context.
- Any source material the assistant should respect, such as notes, briefs, examples, URLs, or brand guidance.
- Constraints such as tone, length, channel, deadline, region, or approval requirements.
- A clear definition of what a good final answer should look like.

## Step-By-Step Workflow
1. State the job clearly: "Use the Dynamic pricing for ecommerce guide to help me with..."
2. Add context: audience, goal, offer, channel, source material, and constraints.
3. Ask the assistant to identify missing inputs before producing the final output.
4. Have the assistant follow the skill-specific guidance below.
5. Review the result against the final checklist and ask for revisions where needed.

## Skill-Specific Guidance
- Define SKU eligibility for automatic, approval-required, or manual repricing.
- Calculate contribution-safe floors and commercially justified ceilings.
- Select demand, inventory, competitor, season, and promotion signals without treating noisy observations as facts.
- Create deterministic rule matrices with bounded price steps, cooldowns, and conflict precedence.
- Simulate normal, downside, promotion-stack, stockout, and price-war scenarios.
- Design approval, audit-log, rollback, anomaly-breaker, and emergency-stop controls.
- Produce a staged platform implementation and measurement plan without enabling live changes.
- SKU, variant, channel, marketplace, currency, tax treatment, fulfillment method, and lifecycle stage;
- current price, realized selling price, list or compare-at price, coupons, promotions, bundles, and discount-combination rules;
- COGS, inbound freight, duties, packaging, fulfillment, payment, referral, affiliate, ad, return, and other variable costs;
- target contribution dollars or margin, approved floor, approved ceiling, and brand or MAP constraints;
- inventory on hand, inbound stock, sell-through, age, weeks of cover, replenishment lead time, and stockout risk;

## Decision Points And Nuance
The original skill emphasizes: Installation, Capabilities, Usage Examples, Inputs and Collection, Workflow, Establish the Evidence Boundary, Calculate Economic Guardrails, Classify SKU Automation Eligibility, Select and Validate Signals, Build the Rule Matrix.

Use these questions to steer the work:
- What is the intended audience or buyer?
- What source material must be preserved?
- What should the assistant optimize for: clarity, persuasion, accuracy, speed, creativity, or conversion?
- What examples represent the desired quality bar?
- What should the assistant avoid?

## Common Mistakes
- Define SKU eligibility for automatic, approval-required, or manual repricing.
- If required economics or authorization details are missing, ask one consolidated follow-up. If they remain unavailable, design a provisional system but mark affected floors, rules, and automation decisions as blocked.
- Do not invent demand, competitor history, costs, fees, elasticity, conversion, or platform capability. A visible competitor price is a point-in-time observation, not a durable market signal.
- | Tier | Appropriate when | Required control |
- | Approval-required | launch, high margin risk, large price step, strategic product, sparse data | human review before publish |
- **Inventory:** use on-hand, age, sell-through, lead time, and replenishment risk; do not treat a feed error as surplus or scarcity.
- Never use protected personal characteristics or opaque customer vulnerability to set individualized prices. Avoid price-gouging, collusion, and discriminatory outcomes.
- | Evidence gate | freshness and completeness required |

## Copy-And-Paste Prompt
```text
Use the Dynamic pricing for ecommerce human guide.

My goal:
[Describe the business outcome]

Audience:
[Describe who this is for]

Context and source material:
[Paste notes, examples, links, or existing copy]

Constraints:
[Tone, length, channel, timeline, must-include items, must-avoid items]

Before producing the final output, ask me for any missing information that would materially improve the result.
```

## Final Checklist
- [ ] The output matches the original goal.
- [ ] The audience and context are reflected in the answer.
- [ ] Important constraints and source material were preserved.
- [ ] The assistant made the relevant decisions explicit.
- [ ] The final artifact is ready to use, review, or hand to the next person.

## Source
This guide was generated from the nexscope-ai/ecommerce-skills skill entry for `dynamic-pricing-ecommerce`.

## Source Skill Notes
These notes preserve the nuance from the original skill. Use them as supporting reference when the workflow above feels too generic.

# Dynamic Pricing for Ecommerce

Turn seller-approved economics and trusted signals into a bounded repricing system with explicit rules, approvals, monitoring, and a kill switch.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill dynamic-pricing-ecommerce -g
```

## Capabilities

- Define SKU eligibility for automatic, approval-required, or manual repricing.
- Calculate contribution-safe floors and commercially justified ceilings.
- Select demand, inventory, competitor, season, and promotion signals without treating noisy observations as facts.
- Create deterministic rule matrices with bounded price steps, cooldowns, and conflict precedence.
- Simulate normal, downside, promotion-stack, stockout, and price-war scenarios.
- Design approval, audit-log, rollback, anomaly-breaker, and emergency-stop controls.
- Produce a staged platform implementation and measurement plan without enabling live changes.

## Usage Examples

```text
Design safe Amazon repricing rules for these 200 SKUs without starting a price war.
```

```text
Create an inventory-aware dynamic pricing plan for my Shopify store.
```

```text
Which products can be auto-repriced, and which should always require approval?
```

```text
Audit these existing repricing rules for margin, promotion, and rollback risks.
```

## Inputs and Collection

Use seller-supplied and inspected evidence first. Collect:

- SKU, variant, channel, marketplace, currency, tax treatment, fulfillment method, and lifecycle stage;
- current price, realized selling price, list or compare-at price, coupons, promotions, bundles, and discount-combination rules;
- COGS, inbound freight, duties, packaging, fulfillment, payment, referral, affiliate, ad, return, and other variable costs;
- target contribution dollars or margin, approved floor, approved ceiling, and brand or MAP constraints;
- inventory on hand, inbound stock, sell-through, age, weeks of cover, replenishment lead time, and stockout risk;
- timestamped traffic, orders, units, realized price, conversion where available, cancellations, and returns;
- comparable competitor offers with variant, pack size, seller, fulfillment, availability, delivered price, source, and capture time;
- current repricing tool, platform capabilities, rule cadence, account permissions, approvers, and business objective.

If required economics or authorization details are missing, ask one consolidated follow-up. If they remain unavailable, design a provisional system but mark affected floors, rules, and automation decisions as blocked.

## Workflow

### 1. Establish the Evidence Boundary

List the exports, pages, cost sheets, platform settings, and seller facts actually inspected. Label each material input:

- **Confirmed:** supported by inspected evidence.
- **Assumption:** an explicit scenario placeholder, not an observed fact.
- **Unknown:** missing information that blocks reliable automation.

Do not invent demand, competitor history, costs, fees, elasticity, conversion, or platform capability. A visible competitor price is a point-in-time observation, not a durable market signal.

### 2. Calculate Economic Guardrails

Use realized seller-funded economics:

```text
Net Revenue = Selling Price - Seller-Funded Discounts - Refund Allowance
Contribution $ = Net Revenue - COGS - Variable Selling Costs
Contribution % = Contribution $ / Net Revenue
```

When percentage fees apply to selling price:

```text
Price Floor = (Unit Cost + Fixed Variable Costs + Target Contribution $) / (1 - Variable Fee Rate)
```