The same product can sell in one market and stall in another once currency, price levels and delivery differ. In this case, the immediate task is to compare product demand across target countries. The workflow should produce a per-country shortlist with the caveats behind each ranking, keeping each market's own inputs separate.
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 compare product demand across target countries.
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: [per-country candidate products with dated local demand evidence, local competitor listings and prices in local currency, landed cost inputs including delivery and duty, and import rules or certification requirements].
Compare the markets side by side while keeping each country's currency, price level and delivery conditions separate, apply the local regulatory check before ranking, and mark any candidate whose demand evidence was borrowed from another market as a weak hint only.
Return a per-country shortlist with the caveats behind each ranking 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.
Gather per country the candidate products with their own dated local demand evidence, local competitor listings and prices in the local currency, landed cost inputs including delivery and duty, and any import rules or certification requirements.
Compare the markets side by side while keeping each country's currency, price level and delivery conditions separate, apply the local regulatory check before ranking, and mark any candidate whose demand evidence was borrowed from another market as a weak hint only.
Deliver a per-country shortlist showing each ranking with its caveats, the currency and conversion basis used, and the local constraints checked, then verify that no cross-country figure entered a ranking without being labelled as such.
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Only as a weak hint flagged as borrowed, because language, climate and buying habits diverge; a market entered on borrowed evidence stays provisional until its own dated demand records exist, and the shortlist says which entries rest on it.
Either reported side by side in native currencies or converted with the rate and its date stated, so the comparison can be reconstructed; an undated conversion is treated as an error and redone, because it hides how the ranking was actually made.
Delivery restrictions, import rules and required certifications are checked first, because any of them can remove a country regardless of demand; a candidate failing a regulatory check is excluded with the rule cited instead of being ranked on commercial merit.
Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.
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