01
Step 1
Collect the flagged orders with the check that raised each flag, the affected fields, the validation results and the payment state on record.
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Spark playbook scenarios · Spark: AI Store Assistant
Create a queue for orders requiring exception handling
Flagged orders arrive from several checks at once, and no one place shows what each one is waiting on. In this case, the immediate task is to create a queue for orders requiring exception handling. The workflow should produce a classified queue where each case carries its own smallest corrective step and resolution path.
Topic
Order Exceptions and Validation
Target keyword
shopify order exception management
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 create a queue for orders requiring exception handling.
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: [flagged orders with the check that raised each flag, the affected fields, validation results, and the payment state on record]. Classify each case by its blocking signal, keep confirmed errors apart from uncertain ones, and choose the smallest corrective step that clears the block rather than reprocessing the whole order.
Return the exception queue with resolution steps 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.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
Classify each case by its blocking signal, keep confirmed errors apart from uncertain ones, and choose the smallest corrective step that clears the block rather than reprocessing the whole order.
03
Step 3
Deliver the exception queue with one resolution step and one owner per case, then verify every action against the merchant's records and close a case only once the blocking signal is gone.
FAQ
Common questions when running this scenario
Cover decision rules, frequent misunderstandings, and required inputs so the team aligns on prerequisites before execution.
Which orders belong in the exception queue?
Those where a validation, address or payment signal blocks reliable processing, with the reason recorded against the order. A flag the system can clear on its own should not occupy a person's queue.
Should every exception be fixed the same way?
No, match the step to the signal. A confirmed error can often be corrected from the records, while an uncertain signal needs confirmation from the customer or the payment provider first.
When can a case be closed?
When the blocking signal is gone and the order reaches its next normal state, with the outcome and timestamp noted. Closing on a partial fix returns the same order to the queue on the next run.
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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