Inventory stuck in review costs daily sales. Here are the commonly cited causes of fashion listing rejections, and how to actually fix them.
Most rejections trace back to one of a handful of commonly cited causes: attribute values that don't match the marketplace's approved master data, missing mandatory fields for the product category, image dimensions or background that don't meet spec, or inconsistent values across variants of the same style. There's no single official "top reasons" list published by either marketplace — these are the causes most commonly reported by sellers and catalog teams.
Most of these causes share a root problem: manual attribute entry has no automatic check against the marketplace's current approved values before upload. A catalog tool that validates attributes against master data before export addresses the first, second, and fourth causes directly — the ones tied to attribute accuracy rather than image quality or copy.
Most Myntra rejections trace back to attribute values that don't match Style Hub's approved master data, missing mandatory fields for the product category, or image dimensions/background that don't meet spec. Checking each generated attribute against Myntra's current approved dropdown values before upload addresses the most common cause directly.
Flipkart's Listing Quality Score factors in attribute completeness and consistency across your catalog, which affects search ranking and eligibility for badges like F-Assured. Improving it generally means filling every relevant attribute field completely and consistently, not just the mandatory minimum, and keeping values consistent across variants of the same style.
Mandatory attributes vary by category and change periodically, so there's no single fixed list that applies to every product. Common mandatory fields across most fashion categories include fabric, fit, pattern, color, and occasion — always confirm the exact current requirement for your specific category inside Myntra's Style Hub before finalizing a listing.
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