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Your Shopify e-commerce dashboard, tied to every order.

Orders, GMV, average order value, and net revenue modeled from Shopify customers, orders, products, and abandoned checkouts, reconciled with Stripe for payment settlements and QuickBooks for cost-of-goods, so the store number and the ledger agree.

See how to build one in Definite

What’s in a shopify ecommerce dashboard?

A Shopify e-commerce dashboard is the single governed view of store performance modeled from Shopify orders, products, customers, and payment transactions. When reconciled against Stripe settlements and QuickBooks cost data, GMV, AOV, and net revenue reflect what the store actually sold and what actually settled.

Shopify reports gross revenue that includes pending refunds and gift cards. Stripe reports a different settled amount on a different date. When both feed one set of definitions, you optimize on the number that ties to the bank instead of toggling between the Shopify admin and the Stripe dashboard hoping they agree.

Who it’s forE-commerce operators, CFOs, and founders who run their store on Shopify.

CadenceRefreshed daily; reviewed in the weekly store review and before seasonal planning.

Built fromShopify, Quickbooks, Stripe

§ How it works

Describe your dashboard. Fi builds it.

Fi is the AI agent inside Definite. Tell it what you’re trying to understand, and it connects your sources, defines the metrics, and builds the dashboard. One conversation, not a project.

You

Show me our Shopify store performance — orders, GMV, AOV, and net revenue — reconciled against Stripe settlements so I know what actually cleared.

✦ Fi

Here's your shopify ecommerce dashboard, on your Shopify, Quickbooks and Stripe data.

Here’s what’s in it

The top row leads with the 4 numbers that matter most: Orders, GMV, Avg order value, Net revenue. Each shows a delta versus the prior period so you can see direction at a glance. Below that, 2 trend charts (GMV over time, Order volume trend) show how the headline numbers have moved over time. A breakdown (Orders by product) splits the metric by dimension so you can see what's driving the total. A detail table (Store health) rounds it out with the secondary metrics and their deltas. Every number is computed from the exact formulas shown in the metric table below. Composites are derived from their components, not pasted in, so the KPI tiles, breakdowns, and totals all reconcile to each other.

Illustrative data

Orders

6.5K▼ 13.8%

Data ▾

Period	Orders
Jan	4.3K
Feb	5.0K
Mar	5.0K
Apr	7.0K
May	7.4K
Jun	7.6K
Jul	7.7K
Aug	6.7K
Sep	6.3K
Oct	6.2K
Nov	7.5K
Dec	6.5K

GMV

$1.24M▲ 6.9%

Data ▾

Period	GMV
Jan	$592K
Feb	$643K
Mar	$678K
Apr	$868K
May	$1.08M
Jun	$1.12M
Jul	$1.05M
Aug	$1.27M
Sep	$1.37M
Oct	$1.31M
Nov	$1.16M
Dec	$1.24M

Avg order value

$192▲ 24.0%

Data ▾

Period	Avg Order Value
Jan	$137
Feb	$127
Mar	$135
Apr	$125
May	$146
Jun	$148
Jul	$137
Aug	$189
Sep	$218
Oct	$211
Nov	$155
Dec	$192

Net revenue

$1.13M▼ 2.1%

Data ▾

Period	Net Revenue
Jan	$582K
Feb	$644K
Mar	$621K
Apr	$709K
May	$786K
Jun	$781K
Jul	$922K
Aug	$921K
Sep	$974K
Oct	$1.05M
Nov	$1.15M
Dec	$1.13M

GMV over time

Data ▾

Period	GMV
Jan	$592K
Feb	$643K
Mar	$678K
Apr	$868K
May	$1.08M
Jun	$1.12M
Jul	$1.05M
Aug	$1.27M
Sep	$1.37M
Oct	$1.31M
Nov	$1.16M
Dec	$1.24M

Orders by product

Data ▾

Product	Orders
Platform	2.3K
Add-ons	1.3K
Services	2.9K

Order volume trend

Data ▾

Period	Orders
Jan	4.3K
Feb	5.0K
Mar	5.0K
Apr	7.0K
May	7.4K
Jun	7.6K
Jul	7.7K
Aug	6.7K
Sep	6.3K
Oct	6.2K
Nov	7.5K
Dec	6.5K

Store health

Avg Order Value$192▲ 24.0%

Refund Rate0.9%▲ 9.2%

Gross Margin79.6%▼ 2.0%

✦ Fi

Anything else I can do for you?

You

Why did AOV drop last month — which Shopify products changed the mix?Which product collection is driving the refund rate up?Show me the Shopify orders behind the March revenue dip.Trace this month's net revenue back to the Stripe settlements.Break GMV out by Shopify collection instead of product.How many abandoned checkouts converted after the reminder flow launched?Break net revenue by Shopify product collection so I can see which collections carry the margin.Add abandoned checkout rate by traffic source and flag any source above 70%.Show me refund rate by Shopify product so I can spot the SKUs driving returns.

Schedule a demo →Start this conversation with your data →

First version in a dayFree to start, flat pricingNo infrastructure to set up

§ Why the numbers tie out

Every metric traces back to your systems

This is the part a BI tool can’t fake. Each metric is defined once, in your warehouse, from a specific object in a specific source. Change the definition in one place and every tile, report, and answer moves with it. So the number on the screen is the number in the source.

Shopify

◆ OrderOrdersGMVAvg Order Value

Stripe

◆ Balance Transaction (Ledger)GMVAvg Order ValueNet RevenueRefund RateGross Margin

◆ InvoiceNet RevenueRefund RateGross Margin

◆ PaymentNet RevenueRefund RateGross Margin

Quickbooks

◆ Income Statement (Profit & Loss)Net RevenueRefund RateGross Margin

◆ General LedgerGross Margin

Metric	What it measures	How it's calculated	Sources
Avg Order Value	—	GMV ÷ Orders	Shopify, Stripe
Net Revenue	Revenue you actually keep after refunds and credits, not what you originally billed.	Gross Revenue − Refunds & Credits	Stripe, Quickbooks
Refund Rate	—	Refunds & Credits ÷ Gross Revenue	Stripe, Quickbooks
Gross Margin	The share of net revenue left after the direct cost of delivering the product, the ceiling on how efficiently the business can grow.	(Net Revenue − COGS) ÷ Net Revenue	Stripe, Quickbooks

§ Then do something about it

Have our agent watch for you

A shopify ecommerce dashboard tells you what happened, and Fi tells you why. The last step is not having to remember to check. Point Definite at the one number you can’t afford to miss, and it watches that number for you off the same definitions as your dashboard. When it moves, you hear about it before the next review instead of during it. One metric, one action, always reversible.

See how autonomous agents work →

Agents for this stack

Shopify agent →

Quickbooks agent →

Stripe agent →

Autonomous agent · watch churn

Watch

A metric you choose

net revenue churn

→

Judge

One condition

> 5% week-over-week

→

Act

One action

alert #revenue + open doc

◄──── then waits · cooldown 24h before it can act again ────

Scoped to a single metric and a single action. You arm it; you can disarm it anytime.

§ The data that powers it

Built from whatever you already run on

Connect the systems you already use. Any source of these types works, and you don’t move data into a warehouse, because Definite is the warehouse.

Accounting & Finance8

Quickbooks

Xero

NetSuite

Microsoft Dynamics 365 Finance

Billing & Subscriptions7

No warehouse to stand up or connect. See how the platform models your data →

§ Get started

Build your shopify ecommerce dashboard

From signup to a working dashboard in one sitting. No data team required.

Sign up

Free to start. No credit card, no infrastructure to set up.

Create your account →

Connect your sources

Stripe, your CRM, accounting. Definite syncs and models them automatically.

Decide your metrics

Pick the numbers that matter or let Fi propose them from your data. Every metric gets one definition, governed in one place.

Ask Fi to build it

Describe what you need in plain language. Fi builds the dashboard, and you refine by asking follow-ups.

§ FAQ

Common questions

Shopify reports gross revenue that includes refunds still in progress and counts gift-card redemptions as revenue. Stripe reports the settled amount on the payout date. This dashboard reconciles both, so each metric traces to one definition and one source object.

Shopify for orders, products, customers, and abandoned checkouts. Stripe for payment settlements and refund finalization. QuickBooks for cost-of-goods and margin calculations. Definite syncs and models all three.

It is a live ECharts dashboard running on a deterministic synthetic dataset, labeled illustrative. AOV is computed as GMV over orders, refund rate from the formula in the metric table. Connect your Shopify store and Fi builds the same view from your data.

Type a prompt like the one above. Fi connects Shopify, Stripe, and QuickBooks, proposes the store metrics, and you refine by asking follow-ups. The first version reconciles to your Shopify orders without a spreadsheet.

Yes. Shopify syncs abandoned checkouts as a first-class object. You can track abandonment rate by traffic source, product, or time of day, and correlate it with the orders that did convert to see where the funnel leaks.