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Spark playbook scenarios · Spark: AI Store Assistant

Identify relevant product opportunities for upcoming holidays

A merchant is choosing what to sell but cannot separate durable demand from short-lived popularity. In this case, the immediate task is to identify relevant product opportunities for upcoming holidays. 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
holiday product trends
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 identify relevant product opportunities for upcoming holidays.
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.
Separate recurring seasonal patterns from one-off spikes and account for purchasing lead time.
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.
Use in Spark
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 identify relevant product opportunities for upcoming holidays. 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.

01

Step 1

Start with target market, candidate products, dated demand evidence, competitor listings, supplier costs and delivery constraints.

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

Separate recurring seasonal patterns from one-off spikes and account for purchasing lead time.

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.

Why does timing matter for seasonal products?

Demand may peak before stock can arrive. Buying decisions need to account for sourcing and delivery lead time as well as the shopping season.

Related scenarios

Continue with adjacent or same-topic scenarios

Start with scenarios under the same topic, then expand into cross-topic matches suggested by similarity.

Next step

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