5 AI workflows under the "AI Analytics and Diagnosis" topic. Each includes a copyable prompt and FAQs. Paste them into your preferred AI assistant or Spark agent and run it.
A merchant has several analytics views that disagree because each report defines its metrics differently. In this case, the immediate task is to use AI to interpret store analytics evidence. The workflow should produce an interpretation with its evidence trail and the checks that would confirm each hypothesis, drawn from the merchant's own records.
Revenue moved between two periods and the merchant cannot tell whether fewer orders, lower prices or a different mix caused it. In this case, the immediate task is to explain sales changes using supplied business evidence. The workflow should produce an explanation with the contributing factors ranked and the evidence behind each one.
The merchant wants problems surfaced before customers report them, but the team never agreed what counts as an issue. In this case, the immediate task is to detect and prioritize evidenced store issues. The workflow should produce a prioritized issue list with the source of each finding, grounded in the merchant's own checks and signals.
A metric moved outside its usual range and the merchant needs to know which recent change explains it. In this case, the immediate task is to investigate plausible root causes of an observed anomaly. The workflow should produce the most plausible cause with the evidence used and the next check that would confirm it.
The merchant knows several parts of the store underperform but cannot decide what to fix first. In this case, the immediate task is to recommend store improvements tied to observed evidence. The workflow should produce recommendations ordered by expected impact, each tied to the gap it addresses and to a check that would prove it worked.
500+ Shopify operational AI workflows across topics. Browse by topic or jump back to featured playbooks.
