Shopify StrawberryThe Monday after a promotion, sorted before you open the admin
Three lists waiting: the orders tagged wrong, the SKUs that went negative, and the customers you cannot fulfil. Every fix arrives staged as one batch you approve.
The promotion ran over the weekend. Three SKUs sold past their real stock, forty orders carry the wrong tag because the discount code changed halfway through, and support is asking about two of them.
A companion reads all forty orders, cross-checks each against the products they contain, and stages the corrections as one batch. Nothing reaches the live storefront until you have read that batch and approved it.
The morning after a promotion
You ask what happened.
The companion lists the weekend’s orders with the filters you would have used, cross-checks the promo-tagged ones against the products they contain, reads inventory at each location, and hands back three lists: the orders tagged wrong, the SKUs whose available quantity went negative, and the customers who bought the two items you cannot fulfil this week.
The fix is staged. Forty tag corrections arrive as one batch you read once and approve. Inventory adjustments at a location go the same way, because a wrong adjustment does not fail loudly. It oversells the same item again next weekend.
Two hundred products missing a metafield
Sixty variants have a barcode in the SKU field.
A supplier sent a spreadsheet of new prices in a different order to your variant list. This is the work that lives between a store and a spreadsheet, and it is the Wednesday nobody enjoys.
A companion reads the current state natively, matches the supplier’s rows against your variants, and stages the price, SKU, barcode and metafield updates as one reviewable set. The eleven rows it could not match confidently are listed separately. An exception list is fifteen minutes; a mismatched price is a margin problem you find at month-end.
Can it help before the product exists?
Launching a category means reading what competitors charge, how they describe the same thing, and which attributes they list, which happens on the open web rather than in your admin. A companion does that pass, drafts the product records with descriptions and metafields from it, and creates them once you have read them, attaching images from the URLs you point it at.
The recurring version is a weekly price check across the twelve competitors that matter, landing as a document with each figure linked to the page it came from. That is marketing research whose output can become a staged catalog change.
What does one instruction cover here?
Decide from a supplier’s PDF which variants are affected.
Read a customer’s email thread to work out whether the order edit is the right one. Check a competitor page before changing a price. Each of those is one instruction here, and it finishes.
That is most of what operations work in a store actually is, and it is the part that used to need three tools and a person holding them together.
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Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents