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Spark playbook scenarios · Spark: AI Store Assistant

Assess candidate products for international sourcing

The merchant has candidate products and supplier profiles, but no common basis for comparing them. In this case, the immediate task is to assess candidate products for international sourcing. The workflow should produce a sourcing feasibility matrix and supplier questions, comparing each candidate on market fit, supplier reliability and the stated terms.

Topic
International Product Sourcing
Target keyword
product sourcing for international markets
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 assess candidate products for international sourcing.
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: [target-market notes, candidate products with their specifications, supplier profiles on offer, and past sourcing outcomes the merchant has recorded, for one merchant-defined assessment round]. Score every candidate on market fit, supplier reliability and the stated commercial terms using the same criteria and the same evidence standard, and flag any candidate whose profile leaves a criterion unsupported instead of filling the gap with assumption.
Return a sourcing feasibility matrix and supplier questions 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
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

Collect the target-market notes, the candidate products with their specifications, the supplier profiles on offer and any past sourcing outcomes the merchant has recorded, for one merchant-defined assessment round.

02

Step 2

Score every candidate on market fit, supplier reliability and the stated commercial terms using the same criteria and the same evidence standard, and flag any candidate whose profile leaves a criterion unsupported instead of filling the gap with assumption.

03

Step 3

Deliver a sourcing feasibility matrix and supplier questions with the score, the evidence and the open question per candidate, then reconcile the matrix against the supplier profiles and list criteria left unanswered.

FAQ

Common questions when running this scenario

Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.

How is market fit judged without sales data for the market?

Use the recorded target-market notes, comparable listings and any stated demand signals, and mark the fit provisional where they conflict, because a score presented as firm without that evidence will not survive review.

What makes a supplier profile reliable enough?

Documented performance the merchant holds, such as past order outcomes, lead times met and responsiveness, rather than the supplier's own claims; a profile carrying no recorded history is scored as unverified.

Should candidates be ranked or grouped?

Group them by readiness to proceed, since a single ranking hides whether a candidate is held back by evidence or by terms; each group then carries the specific questions that would move it forward.

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Next step

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