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Step 1
Start with target market, candidate products, dated demand evidence, competitor listings, supplier costs and delivery constraints.
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Spark playbook scenarios · Spark: AI Store Assistant
Screen candidate products for attractive landed margins
A merchant is choosing what to sell but cannot separate durable demand from short-lived popularity. In this case, the immediate task is to screen candidate products for attractive landed margins. The workflow should produce a ranked product shortlist with evidence, uncertainty and next tests, using the merchant's actual records and constraints.
Topic
Product Research and Market Opportunities
Target keyword
find high margin products to sell
Copyable AI prompt
A prompt you can drop directly into Spark
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.
ai-prompt.txt
Act as a Shopify operations specialist.
Help me screen candidate products for attractive landed margins.
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: [provide target market, candidate products, dated demand evidence, competitor listings, supplier costs and delivery constraints].
Compare demand signals, competition and landed margins; separate observed facts from estimates; shortlist candidates with reasons and a small validation test.
Show supplier cost, estimated delivery cost and selling price separately; do not equate markup with margin.
Return a ranked product shortlist with evidence, uncertainty and next tests 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.Scenario & problem
When does this scenario usually come up?
Start with the business context, the trigger, and the expected output before moving into the execution steps.
A merchant is choosing what to sell but cannot separate durable demand from short-lived popularity. In this case, the immediate task is to screen candidate products for attractive landed margins. The workflow should produce a ranked product shortlist with evidence, uncertainty and next tests, using the merchant's actual records and constraints.
How to solve
A recommended resolution workflow
Split the work into input, judgment, and deliverable phases. Verify each step's output before moving to the next.
02
Step 2
Compare demand signals, competition and landed margins; separate observed facts from estimates; shortlist candidates with reasons and a small validation test.
03
Step 3
Show supplier cost, estimated delivery cost and selling price separately; do not equate markup with margin.
04
Step 4
Deliver a ranked product shortlist with evidence, uncertainty and next tests; verify the result against the supplied records and identify unresolved inputs.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Does a trending product guarantee sales?
No. Popularity does not establish willingness to buy from your store. Price, differentiation, delivery and acquisition costs still affect the outcome.
Why can a popular product be a poor opportunity?
Strong demand may coexist with heavy competition, low margins or unreliable supply. Evaluate the whole business case rather than popularity alone.
Is a high markup the same as a high margin?
No. Markup uses cost as its base, while margin uses selling price. Additional costs can reduce the amount left from a sale.
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Next step
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