AI Seller for
Fashion & Apparel

Yes. The system processes variant groups as unified product families, so a single parent SKU with 200 color-size combinations is optimized in one task rather than 200 separate jobs. You define which attributes (color names, size labels, fabric descriptions) should stay consistent across variants and which should differ. Most fashion catalogs with 5,000–50,000 variants complete initial optimization within 5–10 business days depending on your plan's parallel task limits.

During onboarding, you provide brand guidelines, tone samples, and a list of restricted or required terms. The AI agent stores these as guardrails applied to every content generation task. Before anything is finalized, you can review sample outputs and adjust the voice profile. If your brand uses specific terminology (e.g., "relaxed fit" instead of "loose fit"), those rules persist across all future optimizations automatically.

Absolutely. By default, 24.online operates in manual-approval mode: every generated title, bullet, image, or price change appears as a draft in your task panel. You review, edit if needed, and click "Apply" to push changes via the marketplace API. Only if you explicitly enable autopilot—and define its boundaries—will the system apply changes without confirmation.

Autopilot only acts within rules you set: price floors and ceilings, approved keyword lists, character-count limits, and image-style constraints. Any change outside those boundaries is flagged for manual review. The system logs every action with timestamps, before/after snapshots, and the rule that permitted it—so your team can audit decisions at any time.

The Review Insights module extracts recurring complaints and compliments about sizing ("runs small," "true to size," "order one size up"). These insights feed directly into bullet and description rewrites—adding callouts like "Relaxed fit; if between sizes, size down" where relevant. The goal is to set accurate expectations before purchase, reducing return rates tied to fit confusion.

The AI can draft size-chart copy and measurement tables based on your product data and category norms, but you must supply accurate garment measurements. The system will not fabricate dimensions. Once measurements are confirmed, the generated charts can be formatted for A+ Content modules, product descriptions, or standalone images.

Yes. 24.online maps your catalog attributes to Walmart's Item Spec 5.0 schema, flags missing or non-compliant fields, and generates compliant content for required attributes like brand, color, size, fabric content, and care instructions. The Multi-Marketplace Sync feature ensures that when you update a listing for Amazon, the Walmart version is adjusted to meet Spec 5.0 formatting rules—not just copied verbatim.

Content is adapted, not duplicated. Each marketplace has different character limits, attribute requirements, and search-ranking factors. The AI rewrites titles and bullets to fit each platform's constraints while preserving your brand voice and core product messaging. For example, Amazon bullet points may emphasize keywords, while Etsy descriptions lean into storytelling and handmade appeal.

Only official seller APIs. 24.online connects via OAuth or token-based authorization provided by Amazon Seller Central, Walmart Seller Center, Etsy, Shopify, and eBay. We never store your marketplace login credentials—just secure access tokens with scoped permissions you control. This approach ensures compliance with each platform's terms of service and keeps your account in good standing.

The platform supports REST and GraphQL APIs for bi-directional data sync. If your PIM is the source of truth for product attributes and your DAM stores master images, 24.online can pull that data, optimize it, and either push updates back or send final assets to marketplaces directly. Custom connector work may be required for less common systems; discuss specifics during onboarding.

The Creative Studio handles background removal, resolution upscaling, lifestyle/context image generation, infographic overlays (fabric icons, size callouts), and scale-reference compositions. You can request flat-lay styling, on-model mockups, or environment shots. Video generation is available as an add-on module. All outputs are reviewed before publishing unless you enable autopilot with visual-style guardrails.

Each marketplace enforces rules on background color, minimum resolution, text overlay limits, and aspect ratios. The system validates every image against these requirements before marking it ready for upload. If an image fails (e.g., too much text for Amazon main image), you receive a specific error explaining what to fix or can request a regeneration that meets the spec.

Yes. The AI drafts A+ Content layouts—comparison charts, lifestyle image-and-text modules, brand story narratives—following Amazon's module constraints. You supply hero images and approve final copy. The system can suggest which modules work best for apparel (e.g., size-fit comparison tables, fabric close-ups) based on your category and competitor benchmarks.

Every change is logged with timestamps and before/after snapshots. If conversion rate or sales decline after an update, you can revert to the previous version in one click. The system also monitors performance metrics post-change and alerts you if a statistically significant drop occurs within your defined thresholds—so you catch issues before they compound.

Timeline depends on catalog size, variant complexity, and your subscription tier's parallel-task allowance. A 1,000-SKU catalog with moderate variant counts typically completes initial text and image optimization in 3–7 business days on mid-tier plans. Larger catalogs (10,000+ SKUs) may take 2–4 weeks. Rush processing is available on higher tiers with additional credits.

Credits are consumed per AI operation—text generation, image enhancement, analysis tasks—not per SKU or variant. Optimizing a parent product with 50 variants costs roughly the same as 50 separate SKUs if each variant needs unique content, but less if variants share most attributes and only differ by color or size labels. Your dashboard shows real-time credit consumption and forecasts before you confirm any batch task.

Yes. You can run a free Listing Quality Audit on a sample of your catalog—no credit card required. The audit scores your titles, bullets, images, and attributes against marketplace best practices and competitor benchmarks. You'll receive a detailed report showing optimization opportunities before deciding whether to subscribe.

Traditional SEO targets keyword matching in marketplace search. AI shopping assistants parse natural-language queries and surface products based on semantic relevance and structured data clarity. The AI agent optimizes your listings for both: keyword coverage for conventional search and clear, attribute-rich descriptions that AI assistants can parse accurately. This dual approach is sometimes called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization).