The merchant wants a cart recommendation that adds something usable with the item already chosen, not a random bestseller. In this case, the immediate task is to recommend compatible complementary products. The workflow should produce a recommendation matrix and offer copy, checking every pairing against the compatibility and inventory records supplied.
First replace every [bracketed] placeholder with real store scope and constraints, then add any actual records or data you have, and paste it into your preferred AI assistant or Spark agent. Spark will follow this page's workflow to produce structured output and verification steps.
Act as a Shopify operations specialist.
Help me recommend compatible complementary products.
My store context is [describe the business, products and target audience].
My scope is [specify the affected products, pages, customers or reporting period]. Use these inputs: [the product relationships and compatibility notes on file, the category and price band of each candidate, the inventory state per item, the contents of the cart being served, and the placement the merchant intends the suggestion to appear in]. Keep a complement only where the compatibility records support the pairing, the item is purchasable at the time of the check and it is not already in the cart, drop anything whose availability the inventory records do not confirm, and limit the set shown to the number the merchant's placement allows.
Return a recommendation matrix and offer copy, checking every pairing against the supplied compatibility records for the specified task.
Show the relevant evidence or before-and-after examples and explain how I can verify the result.
If essential data is missing, ask for it and mark unsupported conclusions as unknown.
Do not invent metrics, product claims or customer facts.
For any publication, message, account or store change, use only connected tools within my explicitly authorized scope and report success only after verification; otherwise provide the draft or proposed steps.Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
Collect the product relationships and compatibility notes on file, the category and price band of each candidate, the inventory state per item, the contents of the cart being served and the placement the merchant intends the suggestion to appear in.
Keep a complement only where the compatibility records support the pairing, the item is purchasable at the time of the check and it is not already in the cart, drop anything whose availability the inventory records do not confirm, and limit the set shown to the number the merchant's placement allows.
Deliver a recommendation matrix and offer copy with each pairing tied to the compatibility record that supports it and a plain statement of what the item adds, then confirm that every recommended item is still purchasable and that the matrix covers each cart item the merchant named.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
A relationship recorded in the compatibility notes or a shared use the merchant has documented, such as an accessory listed for that product. A pairing with no record behind it is excluded even when the two items look related, because the matrix has to stay defensible when a shopper asks why the item was offered.
No. Compatibility and availability decide the set, and price only orders within it, following the price relationship the merchant states for the cart item. Leading with the lowest price tends to surface small accessories that add little to the purchase and push the genuinely useful pairing off the placement.
The item leaves the set once the inventory records show it is not purchasable, and the row records the reason and the restock date where the merchant keeps one. Recommending something that cannot be bought creates a dead end just as the shopper was ready to add it, which is worse than an empty slot.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
Ciwi Spark builds Shopify-native AI tools and agents around the workflows merchants actually run: research, ads, translation, and customer support. Stop rewriting the same prompts by hand.