11 AI workflows under the "Product Data Quality and Audits" topic. Each includes a copyable prompt and FAQs. Paste them into your preferred AI assistant or Spark agent and run it.
Some variants show the parent product image or no image at all, so buyers cannot see the option they choose. In this case, the immediate task is to find variants that lack the correct product image. The workflow should produce a prioritized product issue report separating missing, reused and mismatched images, ranked by how visible each variant is.
Variants carry no price, a zero price or a figure outside the range the merchant set, which leaves those options unbuyable. In this case, the immediate task is to identify missing or invalid variant prices. The workflow should produce a prioritized product issue report that separates true gaps from data errors and names the price field behind each one.
Required fields are filled unevenly across new listings, and no single pass shows which records would fail publication. In this case, the immediate task is to validate product records against required data rules. The workflow should produce a prioritized product issue report listing required violations apart from optional warnings and citing the broken rule.
The merchant wants one product audit that can be rerun after each catalog change instead of ad hoc spot checks. In this case, the immediate task is to run a repeatable product data audit. The workflow should produce a prioritized product issue report in which every finding carries the evidence recorded during the pass and this run's scope is stated.
Open catalog issues sit in several separate lists, so nobody can see which products carry the worst problems. In this case, the immediate task is to summarize catalog quality issues by product and severity. The workflow should produce a prioritized product issue report grouping issues by product, applying the severity levels in use and noting the evidence.
Several similar products share one block of description text, so buyers cannot see what differs. In this case, the immediate task is to detect repeated descriptions that obscure product differences. The workflow should produce a prioritized product issue report grouping identical or near-identical text and marking the groups that hide differences.
Descriptions on several listings read as copied from supplier or marketplace text, and the merchant cannot tell which are its own. In this case, the immediate task is to check supplied descriptions for unsupported copied passages. The workflow should produce a per-listing review list quoting each overlap, the matched source and the recommended action.
The team disagrees on which listings are ready to publish because completeness is judged by feel, not criteria. In this case, the immediate task is to assess listing completeness using explicit review criteria. The workflow should produce a prioritized product issue report scoring each listing, naming the failed criterion and keeping the evidence.
Product data drifts after every import, and one-off cleanups let the same errors return weeks later. In this case, the immediate task is to design recurring audits for product data quality. The workflow should produce a prioritized product issue report plus the schedule, naming the check order, the owner per failure type and the change since the last run.
Storefront prices diverge from the catalog on some products, and the merchant cannot tell which is wrong. In this case, the immediate task is to diagnose incorrect or inconsistent displayed product prices. The workflow should produce a prioritized product issue report tracing each wrong figure to its source field, separating display faults from data errors.
A product page shows variant options that do not line up with the catalog, leaving buyers unable to select a combination. In this case, the immediate task is to investigate missing or confusing variant information on a page. The workflow should produce a prioritized product issue report naming the missing options, unclear labels and mismatched values.
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