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Commerce Sales Dashboard

A commerce starter kit for revenue, conversion, AOV, and stock risk.

55 minNext.js / Tailwind / RechartsCommerce PM

Recipe Workspace

Preview the layout, understand the KPIs, copy the starter

Review the dashboard at a practical desktop ratio first, then use the KPI rationale, code starter, and AI IDE prompt below.

Live Recipe Preview

Commerce Sales Dashboard

A commerce starter kit for revenue, conversion, AOV, and stock risk.

Starter Kit availableOpen live view

Live Recipe

Commerce Sales Dashboard

A commerce starter kit for revenue, conversion, AOV, and stock risk.

Overview · Starter Kit available
Commerce commanddensesidebarsales cardsproduct rankingorder table

Revenue

18,420+8.2%

Conversion

34.8%+2.1%p

AOV

$84.2K+12.4%

Stock risk

ReadyTracked

Revenue trend

ApexCharts

Product Command

Recharts
1

Revenue

Sample data

18,420
2

Conversion

Sample data

34.8%
3

AOV

Sample data

$84.2K

Watch List

RevenueWatch
ConversionWatch
AOVWatch

Detail Table

Revenue

Sample data

18,420

상태

Conversion

Sample data

34.8%

상태

AOV

Sample data

$84.2K

상태

Top

Four KPI cards

Middle

Primary trend and segment view

Bottom

Priority table and alerts

KPI Ingredients

Revenue

Revenue belongs in the primary row when an owner can act on it this week.

Alternative KPI: Revenue segment

Conversion

Conversion belongs in the primary row when an owner can act on it this week.

Alternative KPI: Conversion segment

AOV

AOV belongs in the primary row when an owner can act on it this week.

Alternative KPI: AOV segment

Stock risk

Stock risk belongs in the primary row when an owner can act on it this week.

Alternative KPI: Stock risk segment

Code Starter

Copy component starter

const metrics = [
  { label: "Revenue", value: "18,420", change: "+8.2%" },
  { label: "Conversion", value: "34.8%", change: "+2.1%p" },
  { label: "AOV", value: "$84.2K", change: "+12.4%" }
];

export function CommerceSalesDashboardPreviewCards() {
  return <section className="grid gap-3 md:grid-cols-3">{metrics.map((metric) => <article key={metric.label} className="rounded-xl border border-zinc-200 bg-white p-4"><p className="text-xs font-bold text-zinc-500">{metric.label}</p><strong className="mt-1 block text-2xl font-black">{metric.value}</strong><span className="text-xs font-black text-emerald-600">{metric.change}</span></article>)}</section>;
}

AI IDE Prompt

Paste into your AI IDE

Create a Commerce Sales Dashboard. Put KPI cards for Revenue, Conversion, AOV, Stock risk, trend and segment charts, a priority table, and empty/loading/error states.

Bundle Preview

3 screens included

Preview the overview, detail, and settings screens as SVG before downloading the ZIP source.

Decision System

Why this dashboard should exist before it is designed

AdSense-quality pages need original explanation, not only screenshots. This section documents the decision, data model, failure patterns, and implementation alternatives.

Operating decision

Commerce Sales Dashboard answers this operating question: Is sales movement caused by traffic, conversion, AOV, or stock?. The primary row is not a vanity summary; it decides what an owner should do this week.

The recipe is designed for Commerce PM, Early product builders who need to choose data definitions, chart priority, and bottom-row actions quickly.

Data sources and event definitions

  • Orders, checkout events, catalog, inventory table

Before implementation, define event names, owner, refresh cadence, and missing-data behavior for each source.

Required KPIs and removal rules

Revenue

Revenue belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Revenue segment

Conversion

Conversion belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Conversion segment

AOV

AOV belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: AOV segment

Stock risk

Stock risk belongs in the primary row when an owner can act on it this week.

Alternative or removal signal: Stock risk segment

Common failure patterns

Treat isolated movement in Revenue as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in Conversion as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in AOV as a signal to inspect data definitions or operating bottlenecks.

Treat isolated movement in Stock risk as a signal to inspect data definitions or operating bottlenecks.

Alternative layout

For an MVP, keep Four KPI cards. As data matures, expand Primary trend and segment view into segment comparison or cohort analysis.

Implementation Blueprint

KPI audit protocol before implementation

Use this table before designing the UI. Without a formula, review cadence, and action trigger, a dashboard can look polished but still fail to support an operating meeting.

Revenue

Revenue = source event aggregate / comparison baseline. Start segmentation by Revenue segment.

Daily morning

If Revenue moves more than 10% week over week, inspect the causal segment and action table together.

Conversion

Conversion = source event aggregate / comparison baseline. Start segmentation by Conversion segment.

Weekly review

If Conversion moves more than 10% week over week, inspect the causal segment and action table together.

AOV

AOV = source event aggregate / comparison baseline. Start segmentation by AOV segment.

After campaign end

If AOV moves more than 10% week over week, inspect the causal segment and action table together.

Stock risk

Stock risk = source event aggregate / comparison baseline. Start segmentation by Stock risk segment.

Monthly report

If Stock risk moves more than 10% week over week, inspect the causal segment and action table together.

Event and table starter

When starting from an AI IDE, lock event and table names first. It makes generated components and queries much more consistent.

commerce_sales.viewed

Source event for Revenue. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

commerce_sales.converted

Source event for Conversion. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

commerce_sales.risk_flagged

Source event for AOV. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

commerce_sales.resolved

Source event for Stock risk. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.

Weekly review sequence

  1. 1Separate whether the Revenue movement is a real operating issue or short-term noise.
  2. 2Read it with Conversion to narrow the cause to acquisition, conversion, quality, or throughput.
  3. 3Use the bottom table to choose one owner, one segment, and one action for this week.
  4. 4At the next review, adjust the layout based on recovery after the action, not on the same chart alone.

Frequently asked questions

Which KPIs should Commerce Sales Dashboard prioritize?

Commerce Sales Dashboard should prioritize Revenue, Conversion, AOV, Stock risk. Keep Revenue in the primary row only when an owner can act on it this week.

What data sources are required?

Orders, checkout events, catalog, inventory table are the baseline sources. Define event names, refresh cadence, owner, and missing-data behavior before implementation.

Can this layout be used for an MVP?

For an MVP, start with Four KPI cards and Primary trend and segment view. Add bottom tables and alerts when operating actions become clear.

Which metrics should be removed?

Remove metrics that cannot trigger an action within one weekly review cycle, have unstable definitions, or behave like vanity metrics without adjacent context.

How should the AI IDE prompt be used?

Use the prompt as a starting point, then add real field names, table names, state UI requirements, and accessibility requirements for your project.

Market Pattern

Marketplace-proven dashboard pattern, rewritten for Dashcipe

This section documents the public preview pattern behind the layout and how Dashcipe changes it into original KPI guidance.

commerce-command / hybrid
sales cardsproduct rankingorder tablestock alert

Observed pattern

Commerce templates group sales cards, product rankings, order status, and inventory warnings into one command view.

Dashcipe adaptation

Dashcipe turns product/order patterns into revenue cause analysis and action tables.

Originality guard

No product imagery or template-specific layout is reused.

Free Resources

What you can use for free

Use the KPI logic, layout, code starter, prompt, Figma SVG, schema, and tokens directly.

downloadZIPdesignFigma SVGdataSchemadesignTokensDashcipe Quality StandardResponsive QASchemaFigma SVGLicenseChangelog

Starter Kit Files

What's inside this bundle

  • overview.html
  • detail.html
  • settings.html
  • src/page.tsx
  • src/components
  • src/data/sample-data.ts
  • data/schema.json
  • tokens.json

Compatibility

Built for fast implementation

  • Next.js App Router
  • Tailwind CSS
  • Static HTML preview
  • Figma SVG import

Implementation time: 35 min

Quality Checklist

Market-ready signals

  • 3 production-style screens
  • Reusable TSX components
  • Empty/loading/error states
  • Light/dark tokens
  • Schema-backed sample data

Use this recipe when

  • The vertical metrics are already roughly known
  • You need to prioritize charts and tables quickly

Skip this recipe when

  • No events or data definitions exist yet
  • You only need a marketing landing page

Expert Notes

How a real operator should read these KPIs

These notes turn each metric into an operating decision, data source, and removal rule.

Commerce PM

Why it matters
Revenue is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Revenue as a signal to inspect data definitions or operating bottlenecks.
Data source
Orders, checkout events, catalog, inventory table
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Commerce PM

Why it matters
Conversion is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Conversion as a signal to inspect data definitions or operating bottlenecks.
Data source
Orders, checkout events, catalog, inventory table
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Commerce PM

Why it matters
AOV is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in AOV as a signal to inspect data definitions or operating bottlenecks.
Data source
Orders, checkout events, catalog, inventory table
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Commerce PM

Why it matters
Stock risk is not a vanity number; it decides the next operating action.
Failure signal
Treat isolated movement in Stock risk as a signal to inspect data definitions or operating bottlenecks.
Data source
Orders, checkout events, catalog, inventory table
When to remove
Remove it from the primary row if no owner can act within one weekly review cycle.

Recipe Flow

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