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.
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.
Orders
Data ▾
| Period | Orders |
|---|---|
| Jan | 5.0K |
| Feb | 4.1K |
| Mar | 3.9K |
| Apr | 4.3K |
| May | 5.5K |
| Jun | 4.9K |
| Jul | 5.7K |
| Aug | 7.5K |
| Sep | 8.4K |
| Oct | 9.6K |
| Nov | 8.7K |
| Dec | 8.7K |
GMV
Data ▾
| Period | GMV |
|---|---|
| Jan | $895K |
| Feb | $836K |
| Mar | $884K |
| Apr | $865K |
| May | $803K |
| Jun | $827K |
| Jul | $942K |
| Aug | $1.00M |
| Sep | $1.06M |
| Oct | $1.22M |
| Nov | $1.30M |
| Dec | $1.42M |
Avg order value
Data ▾
| Period | Avg Order Value |
|---|---|
| Jan | $180 |
| Feb | $203 |
| Mar | $225 |
| Apr | $201 |
| May | $146 |
| Jun | $168 |
| Jul | $166 |
| Aug | $133 |
| Sep | $127 |
| Oct | $127 |
| Nov | $149 |
| Dec | $164 |
Net revenue
Data ▾
| Period | Net Revenue |
|---|---|
| Jan | $641K |
| Feb | $615K |
| Mar | $724K |
| Apr | $720K |
| May | $674K |
| Jun | $715K |
| Jul | $855K |
| Aug | $933K |
| Sep | $917K |
| Oct | $936K |
| Nov | $1.10M |
| Dec | $1.31M |
GMV over time
Data ▾
| Period | GMV |
|---|---|
| Jan | $895K |
| Feb | $836K |
| Mar | $884K |
| Apr | $865K |
| May | $803K |
| Jun | $827K |
| Jul | $942K |
| Aug | $1.00M |
| Sep | $1.06M |
| Oct | $1.22M |
| Nov | $1.30M |
| Dec | $1.42M |
Orders by product
Data ▾
| Product | Orders |
|---|---|
| Platform | 3.2K |
| Add-ons | 2.8K |
| Services | 2.7K |
Order volume trend
Data ▾
| Period | Orders |
|---|---|
| Jan | 5.0K |
| Feb | 4.1K |
| Mar | 3.9K |
| Apr | 4.3K |
| May | 5.5K |
| Jun | 4.9K |
| Jul | 5.7K |
| Aug | 7.5K |
| Sep | 8.4K |
| Oct | 9.6K |
| Nov | 8.7K |
| Dec | 8.7K |
Store health
- Why did AOV drop last month across Chargebee invoices?
- Which product catalog item is driving the refund rate up in Chargebee?
- Show me the Chargebee orders behind the revenue dip in March.
- How has net revenue trended as the Chargebee credit note volume has changed quarter over quarter?
- Break GMV out by Chargebee subscription plan instead of product.
- Trace this month's net revenue back to the Stripe settlements tied to Chargebee invoices.
- Break net revenue by Chargebee product catalog item so I can see the revenue mix across plans and add-ons.
- Add refund rate by payment method from Chargebee transactions and flag any method above 5%.
- Show me GMV by Chargebee promotion to see which coupons are driving volume versus eroding margin.
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.
| Metric | What it measures | How it's calculated | Sources |
|---|---|---|---|
| Avg Order Value | — | GMV ÷ Orders | Chargebee, Stripe |
| Net Revenue | Revenue you actually keep after refunds and credits, not what you originally billed. | Gross Revenue − Refunds & Credits | Stripe, Chargebee, Quickbooks |
| Refund Rate | — | Refunds & Credits ÷ Gross Revenue | Stripe, Chargebee, 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, Chargebee, Quickbooks |
Have our agent watch for you
A chargebee 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.
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.
No warehouse to stand up or connect. See how the platform models your data →
Build your chargebee ecommerce dashboard
From signup to a working dashboard in one sitting. No data team required.
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.