Retail and D2C

Ask your revenue anything

Connect the orders database and the pricing sheet. Leadership asks questions in plain language instead of waiting for analyst queues.

The week this replaces

The numbers live in the orders database, the pricing sheet and three exports, and every question starts with pulling them together again.

Questions queue behind the one analyst who can write the SQL, so answers arrive days after the meeting that needed them.

Growth or discounting? By the time anyone splits volume from price, the quarter has moved on.

Which regions drove growth last quarter, and was it volume or pricing?

South led with 23 percent growth, and it is a volume story: orders rose 31 percent while average order value dipped 6 percent on festival discounts. West grew 11 percent on pricing alone. I would watch North, where both volume and price fell.

South

West

East

North

Illustrative conversation. On your data every answer carries sources you can open, and every query is read-only.

AnsweredGrowth split into volume and price by region, with North flagged as the one falling on both
ActedBuilt the regional canvas and set it to refresh every morning
WatchingNothing was changed. This one only reads.

Ninety seconds, 19 credits. The same question took the analyst queue three days.

And then it keeps running

“Summarise last week’s revenue by region, split volume from price, and flag any region falling on both. Refresh the regional canvas and draft the note to the leadership channel.”

Every Monday 07:00Ceiling: ask before acting

Connects toPostgreSQLGoogle Sheets

Doing the workLive SQL analysisCharts in chatPin to dashboard

Try it in the demo Run it on your data

Where this goes

Governed autonomy

Work that runs without you, inside limits that only ever narrow, with a record of what it did, what it refused, and what it would not do without asking. Everything on this page is one step toward that.

How it works