Shopify Daily Sales Digest
Posts one Slack message every morning with yesterday's orders, revenue, and new customers set against the day before, plus the handful of orders someone should actually look at.
Watch it work before it's live
Run a staged conversation — no account needed. The agent handles it for real while a simulated world answers its tool calls; nothing touches real accounts, and nothing is actually sent.
Morning tick, Monday 08:00
The 08:00 tick fires. Yesterday the store took 214 orders worth 18,940 EUR against 176 orders worth 15,220 EUR on Saturday, and 63 of yesterday's buyers were new. The largest single order is 1,180 EUR of wholesale ceramic drippers to a cafe in Lyon, and three orders placed from the same Rotterdam address were cancelled within an hour.
Set up in minutes
Using this template drops you into a guided setup. It asks exactly this, nothing else:
Connect Shopify
One sign-in. The agent acts through your account, scoped to what this template uses.
Connect Slack
One sign-in. The agent acts through your account, scoped to what this template uses.
Store context
What your store sells and what a normal day looks like, in your own words: main products, typical daily order count and average order value, your currency, and anything seasonal. The agent uses this only to tell an ordinary morning from an odd one, never as a source of numbers.
Digest style
The exact sections you want in the message and the order you want them in, how much detail each gets, your date format, and whether you want plain numbers or a line of commentary with them.
Choose which agent runs it
NoClick's built-in models work out of the box — or bring Claude Code, Codex, and other coding agents on your own subscription.
Watch it handle a test run
A staged conversation against a simulated world — then it’s live.
About this agent
Most stores open Shopify analytics when something already feels wrong, which is always a day or two late. This agent reads yesterday's orders every morning at eight, sets the numbers against the day before, and posts one Slack message with the few orders worth a human decision. Founders and ops leads use it so the day starts with one set of real figures instead of four people opening four dashboards.
What people use it for
- One number everyone trusts - Sales, support, and fulfilment start the day on the same figures, because every number in the digest is copied straight from a Shopify response rather than retyped into a spreadsheet.
- Catch a bad morning early - A cluster of cancelled or unpaid orders lands in the digest hours after it happens, not at the end of the month when someone finally reconciles.
- See campaign days clearly - The morning after a launch or a sale, yesterday sits next to the ordinary day before it, so the lift is a real comparison instead of a feeling.
- Wholesale and outlier orders surfaced - Unusually large orders are named with their order number and value, so someone can call the buyer or check stock while it still changes the outcome.
Before you fork
What do I need connected before this runs?
A Shopify store with read access to orders and customers, and a Slack workspace with the channel you want the digest in. Setup walks you through both connections. The first Test Run builds a full digest from a staged morning, so you can see the format and fix the wording before it ever posts live.
Can it change anything in my store?
No. It counts orders, lists them, and counts customers, and that is the whole of its access. Its instructions say never to cancel, refund, or fulfil anything, and no Shopify write operation is wired into the template, so the worst case is a digest with a number you disagree with.
What does it cost to run every day?
One agent run each morning, so about thirty a month. A run makes three or four Shopify calls and writes one Slack message, which makes it one of the cheapest things you can put on a schedule. Busy stores cost slightly more because the order list it reads is longer.
Run it with your coding agent
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Put Shopify Daily Sales Digest to work
Free to start. Guided setup, a test run against staged conversations, and it's live.