Fill missing attributes, normalize values, and publish compliant listings to Amazon, Walmart, Shopify, eBay, and Etsy—directly from chat.
No credit card. See gaps in minutes.
Audit my catalog and fill all missing required attributes for Walmart.
Scanning 2,340 SKUs against Walmart Item Spec 5.0. Found 1,127 gaps across 14 required fields. Auto-fill ready—review or apply now.
Product data enrichment at scale is no longer optional. Every marketplace enforces strict attribute requirements—and gaps in item specifics lead to suppressed listings, failed uploads, and lost search visibility.
24.online automates product attribute mapping and catalog normalization so your catalog stays compliant across channels without manual spreadsheet work. The AI agent audits your feed, detects missing or malformed fields, and fills them using your existing product content, images, and category context. Attribute enrichment happens in seconds, not days: values are normalized against each channel's taxonomy, units are converted, enums are matched, and validation errors are flagged before publish. Whether you manage 500 SKUs or 500,000, the result is the same—clean, complete, PXM-grade data that meets marketplace attribute requirements on Amazon, Walmart, Shopify, eBay, and Etsy.
Whether you're scaling your own catalog or managing product data for clients, automated attribute normalization eliminates the busywork that slows down every marketplace launch.
Thousands of SKUs with missing or invalid attributes blocking your Amazon and Walmart listings.
Fix attribute gaps once and publish compliant, searchable listings everywhere you sell.
Manual attribute mapping drains hours from every catalog update and feed optimization cycle.
Automate normalization so your team focuses on growth, not data cleanup.
Every client's catalog arrives with different attribute formats, gaps, and naming chaos.
Standardize any catalog to marketplace specs in minutes, not days.
Attribute inconsistencies between your master schema and channel-specific requirements.
Sync your product data management system to every marketplace taxonomy automatically.
Product attributes drive every discovery touchpoint on a marketplace: they determine whether your SKU appears in filtered searches, qualifies for the correct category, and meets the platform's required data structure. When item specifics are incomplete or inconsistent, shoppers never see your listing—even if your title and images are optimized. Worse, missing product attributes trigger submission rejections and compliance flags that block catalog updates entirely. As your assortment scales across channels with different taxonomies—Amazon product type definitions, Walmart Item Spec 5.0 requirements, eBay category specifics—manual attribute normalization becomes unsustainable, and data quality gaps compound into lost revenue.
Before: Listing with empty and inconsistent attributes: missing dimensions, non-standard color values, blank material field—excluded from filtered search results.
After: Same listing after AI-driven attribute normalization: complete marketplace required attributes, standardized values, validated against channel taxonomy—fully discoverable and compliant.
As a comprehensive attribute enrichment software, 24.online treats product attributes as structured intelligence, not just data fields. The AI agent performs automatic extraction from existing content, seamless field mapping between sources, catalog normalization of values and units, and strict validation against marketplace compliance requirements. Whether you need a robust product attribute mapping tool for 500 SKUs or 500,000, the system processes your entire catalog in parallel—flagging gaps and reconciling conflicts instantly.
“Fill missing attributes for my US Amazon catalog” or “Normalize units for Walmart.”
The system analyzes your catalog, extracts and maps values, normalizes formats, and validates compliance.
Review flagged changes, accept suggestions, or switch to Autopilot within your defined guardrails.
Every proposed change queues for your approval. You see confidence scores, source evidence, and affected SKUs before anything publishes.
Define your rules — confidence thresholds, attribute categories, SKU segments — and the agent executes automatically within boundaries.
Every attribute value the agent sets includes a confidence score and a clear explanation of why that value was chosen. You see the source data, the reasoning, and the specific marketplace rule applied. If confidence falls below your threshold, the change routes to review.
The agent scans titles, bullet points, descriptions, and images to identify attributes. It pulls dimensions, materials, colors, and dozens of other fields—turning unstructured data into structured records.
Feed mapping between your PIM, supplier sheets, and marketplace schemas happens automatically. 24.online learns your catalog structure and matches source fields to destination attributes.
“Crimson” and “Cherry” become a canonical value that matches each channel’s enum. The agent standardizes free-text entries against accepted terms, resolving synonyms and spellings.
Inches to centimeters, ounces to grams—unit conversion runs automatically based on destination locale. Values are reformatted to match required precision and notation to avoid suppression.
Every attribute passes real-time compliance checks. The agent flags missing required fields, out-of-range values, and format mismatches specific to Amazon, Walmart, or Shopify.
When the same SKU exists in multiple sources with conflicting attribute values, the agent identifies discrepancies and applies your priority rules—no more silent data overwrites.
The agent identifies category-required and recommended attributes you are missing, suggesting values based on product context, similar items, and marketplace best practices.
Integrates with your existing product information management stack. It imports master data, applies enrichment, and exports clean records back without forcing complete migration.
Learn how to normalize product attributes and how to do attribute mapping across Amazon, Walmart, Shopify, eBay, and Etsy—without manual spreadsheet work. The 24.online AI agent handles gap detection, value normalization, and channel-specific formatting in a single automated workflow. Seven steps take your catalog from raw data to publish-ready listings.
Link your seller accounts through secure OAuth and grant 24.online read/write API access.
Upload your product catalog via CSV, connect your PIM feed, or pull existing listings directly from marketplace APIs.
The AI agent scans every SKU against required and recommended attribute schemas for each target channel.
24.online extracts attributes from titles, descriptions, images, and external sources, then normalizes values to channel-accepted formats.
Approve, edit, or reject suggested attribute values in the task queue—individually or in bulk.
Push validated attributes to one or multiple marketplaces with a single confirmation or enable auto-publish within defined rules.
Track attribute completeness scores, submission errors, and listing health across all connected channels.
Scanning 1,240 SKUs against Walmart Item Spec 5.0 requirements.
Found 3,812 missing required attributes and 1,104 values needing unit normalization.
Task queue created—review prioritized fixes or enable auto-fill to proceed.
Run a bulk attribute audit across your entire catalog—24.online maps every missing, conflicting, or non-compliant value and turns findings into a prioritized task queue your AI agent can act on immediately.
Most listing errors trace back to incomplete or inconsistent attributes. A single missing "Material" field can block publication on Amazon; a non-standard unit can disqualify your product from Walmart filters. Manual audits don't scale—but 24.online does. Our attribute gap analysis engine scans thousands of SKUs in minutes, separates required from recommended attributes for each marketplace, flags conflicts against official taxonomies, and generates an actionable remediation queue ranked by business impact.
Percentage of mandatory fields populated across all connected channels.
Products missing high-impact optional attributes that improve search visibility and filter eligibility.
Values that conflict with marketplace enums, unit standards, or taxonomy dictionaries.
prioritized by channel-specific publishing rules and your Listing Quality Score targets.
mismatches against official marketplace enums, reference dictionaries, and unit schemas.
the same SKU showing different attribute values on Amazon, Walmart, and Shopify.
attribute-level contribution to listing discoverability, filter eligibility, and compliance status.
Every gap the audit identifies becomes a discrete task in 24.online's agent queue. Tasks are tagged by severity (blocker, warning, optimization), grouped by category or brand, and ready for one-click execution or full autopilot. Whether you're preparing 50 new SKUs for launch or cleaning up 10,000 legacy listings, the data quality audit scales with your catalog—no spreadsheet wrangling, no guesswork about marketplace attribute requirements.
Raw catalog data rarely arrives in the exact format marketplaces expect. Measurements come in inches when the channel demands centimeters. Colors say "Sky blue" when Amazon's taxonomy only accepts "Blue." Sizes vary between "Medium," "M," and "Med" across your SKUs—all meaning the same thing. 24.online applies systematic attribute value normalization to transform inconsistent inputs into channel-ready outputs that pass validation on the first submission.
Every attribute value passes through a controlled transformation pipeline. The system reads your source data, applies unit conversion rules and controlled vocabulary mappings, resolves synonyms, and outputs values that match each marketplace's enumeration requirements. This data transformation process runs automatically during catalog sync, but every rule remains visible and editable—so you see exactly why "10 in" became "25.4 cm" before any change reaches Amazon or Walmart.
Marketplaces enforce strict unit requirements that vary by category and region. 24.online maintains conversion libraries for length, weight, volume, and area—automatically detecting source units and applying precise calculations. When your product database stores dimensions in inches but Walmart requires centimeters for a given category, the system handles the math and formats the output to match the channel's expected precision.
Marketplaces define allowed values—enumerations—for attributes like color, material, and size. Free-text entries that don't match these controlled vocabularies trigger listing errors or, worse, make products unfindable in filtered search results. 24.online maps your catalog's terminology to each channel's accepted enum values using synonym dictionaries, variant matching, and taxonomy mapping rules. "Sky blue," "Light Blue," and "Baby Blue" all resolve to the platform-approved term.
Inconsistent data entry creates duplicates that fragment your catalog: "100% Cotton," "Cotton 100%," and "Pure Cotton" might describe identical products but create three separate filter options. The normalization engine identifies these variants, consolidates them under canonical values, and applies the consolidated term consistently across all affected SKUs. This deduplication improves both data quality and shopper experience—fewer redundant filter choices, more accurate search results.
Default synonym libraries and conversion rules cover common scenarios, but your catalog has unique terminology. Add brand-specific color names, proprietary material descriptions, or category-specialized size conventions to custom dictionaries. The system applies your extensions alongside standard rules, ensuring that "Midnight Navy" maps correctly to "Blue" for marketplace compliance while preserving your brand terminology in fields that support free text.
Each normalization suggestion displays a confidence score based on match quality and historical accuracy, plus an impact indicator showing how many SKUs the rule affects. High-confidence, high-impact normalizations can run automatically. Lower-confidence matches surface for review, giving you control over edge cases without requiring manual inspection of every value. You decide the threshold—24.online handles execution within your parameters.
Select a feed rule to view live normalization output
10 in25.4 cmAutomatic detection of source unit, conversion calculation, and formatting to channel-required precision and unit abbreviation.
Sky blueBlueSynonym resolution against Amazon's color enumeration, with confidence score and category-specific mapping applied.
Attribute value normalization eliminates the friction between how your data exists and how marketplaces require it. Unit conversion, controlled vocabulary matching, synonym deduplication, and enumeration mapping work together as a transparent, auditable system—not a black box. The result: cleaner data, faster listing approvals, and products that appear exactly where shoppers filter and search.
At its core, PXM requires a master attribute schema: a single, normalized layer of product data that acts as your internal source of truth. 24.online provides this layer out of the box, letting you define attributes once and map them to the specific requirements of Amazon, Walmart, Shopify, eBay, Etsy, or any channel you add next. The result is attribute consistency you can measure and product data quality you can trust.
Data governance in 24.online measures quality along two axes:
The Attribute Dictionary inside 24.online gives you instant visibility into your master data.
Already using a PIM or PXM platform? 24.online integrates rather than replaces. Import your master data via API or flat files, enrich and normalize it with AI, then export the updated attributes back to your central system. This bidirectional sync ensures your PIM stays current while 24.online handles the channel-specific heavy lifting.
"Master data done right means fewer listing errors, faster time-to-market, and channels that stay in sync without manual reconciliation. 24.online gives you the governance framework to make that happen—one attribute schema, every marketplace, full control."
Integrate Your CatalogEvery marketplace enforces its own schema—required fields, accepted values, category-specific attributes, and formatting rules that differ from one channel to the next. 24.online bridges this complexity by mapping your master attributes to each channel's requirements automatically. The system validates every field against Amazon attributes, Walmart attributes, Shopify metafields, eBay item specifics, and Etsy attributes before generating a publish-ready payload. You define your product data once; the AI handles translation, normalization, and compliance checks for each destination.
Amazon's catalog structure links each product to a specific product type, which determines the exact set of required and recommended attributes. Getting this wrong causes listing errors, suppressed offers, or variation families that break apart in search results. 24.online identifies the correct product type for every SKU, auto-fills the corresponding attribute set, and normalizes values to Amazon's accepted formats. For variation listings, the system validates parent-child relationships and ensures attributes like size and color remain consistent across all child ASINs. Backend keywords and hidden search terms are optimized alongside visible fields, so nothing slips through validation.
Normalize variation attributes for my top sellers
Attribute set aligned, values normalized, ready to apply
Department: Empty
Color Map: Dark/Navy Blue
Walmart's Item Spec 5.0 (also known as OmniSpec 5) introduced stricter taxonomy rules and expanded required attributes, causing publication failures for sellers who haven't adapted their data. 24.online maps your existing catalog to the updated Walmart taxonomy, flags every missing or non-compliant field, and proposes normalized values that meet current requirements. The system respects the structural differences between Walmart and your other channels, so a single master catalog produces correctly formatted payloads for each destination without manual rework.
You import your current catalog → we flag missing Item Spec 5.0 fields → we propose normalized values → you apply with guardrails.
Shopify stores often accumulate inconsistent attribute data over time—duplicate option names, conflicting metafield namespaces, and variant values that drift across products. 24.online consolidates this fragmented data into a unified attribute dictionary. The system merges near-duplicates, enforces naming conventions, and structures metafields with consistent namespace/key pairs so your product data consistency stays clean as it scales. When Shopify serves as your source of truth for multi-channel selling, normalized data flows outward to marketplaces without carrying legacy inconsistencies into new listings.
Stop "Size" vs "Sizing" vs "size"—one canonical attribute.
eBay's item specifics determine how products appear in filtered search results and category-specific browse pages. Incomplete or inconsistent specifics fragment your inventory, reduce visibility, and trigger listing warnings. 24.online maps your master attributes to the required specifics for each eBay category, normalizes values to eliminate duplicates, and identifies gaps before they cause listing specifics completeness problems. Existing specifics remain intact—the system only proposes additions and corrections, so you keep what works while closing compliance gaps across your structured attributes.
* We preserve your existing specifics and only propose gaps.
Etsy relies on detailed attributes to connect handmade and unique items with the right buyers. 24.online helps unify Etsy materials and product variations, carefully fills personalization fields, and enforces consistent rules so your handmade catalog remains cohesive. By standardizing your Etsy attributes, the system ensures your products accurately match buyer search filters and category facets without manual attribute normalization for every new listing.
Normalize materials across my handmade listings
Materials standardized, variation rules enforced, ready for Etsy search.
Mapped specifically for Etsy's handmade catalog and taxonomy.
Every attribute change flows through a transparent data governance layer before it reaches your listings. You decide how much autonomy the AI receives—review each edit manually, or let autopilot handle routine updates within boundaries you define. Either way, a complete audit log captures every action, and rollback is always one click away.
In Review mode, 24.online queues proposed attribute changes for your sign-off. Each item shows the current value, the suggested replacement, and a plain-language explanation of why the AI recommends the update. Approve, reject, or edit—nothing publishes until you say so.
Enhances search visibility by adding key benefit keywords ('breathable', 'comfort', 'durability').
Autopilot accelerates high-volume catalogs without sacrificing oversight. You set the rules; the AI follows them. Define confidence thresholds, protect critical attributes from automatic edits, and restrict changes by category or marketplace. Updates that fall outside your guardrails pause for manual review instead of publishing blindly.
Auto-apply only if confidence ≥ 0.85 and the attribute is non-critical.A timestamped change history records every modification—who triggered it, what changed, and why. Filter by SKU, attribute, user, or date range to pinpoint any update. If something looks wrong, restore the previous value instantly; rollback applies to individual fields or entire batches.
Assign permissions that match your team structure. Analysts can audit data and run reports; editors can propose changes; approvers can publish to marketplaces. Role-based access keeps sensitive operations in the right hands and simplifies compliance audits.
When the system detects validation failures, schema mismatches, or confidence drops below your threshold, it sends real-time alerts via email or in-app notification. You catch issues before they block a listing or erode search visibility.
One master attribute layer. Multiple data sources in, multiple channels out. No manual re-entry, no version conflicts.
Your product data rarely lives in one place. Supplier spreadsheets, internal databases, existing PIM systems, and marketplace accounts each hold pieces of the puzzle. 24.online connects to all of them, merges attributes into a single normalized master, and syncs validated data back to every channel—without storing your passwords or bypassing official APIs.
Source → Master Attributes → Channel
Authorize 24.online directly through Amazon, Walmart, Shopify, eBay, or Etsy. We receive a secure access token—never your login credentials—and pull catalog data through official seller APIs. Changes push back the same way: compliant, auditable, reversible.
Upload product feeds in CSV, XLSX, or TSV. Map columns to standard attribute fields, define value transformations, and let 24.online normalize everything on import. Ideal for supplier catalogs, legacy exports, or one-time migrations.
Connect your internal ERP, OMS, or custom database via REST or webhook endpoints. Push product updates to 24.online in real time or on a schedule. Our API accepts JSON payloads and returns validation results instantly.
Already using a product information management platform? 24.online imports attributes from your PIM, enriches and normalizes them for marketplace compliance, and exports the validated master back—keeping your PXM as the system of record.
Real catalogs are messy. Your Shopify store has titles and images. Your supplier's spreadsheet has dimensions and materials. Your PIM holds brand-approved descriptions. 24.online merges all three into unified product records, applies conflict-resolution rules you define, and outputs a single normalized attribute set ready for every channel. No more copy-paste marathons. No more "which file is current?" confusion.
Example: Shopify catalog + supplier CSV + Salsify export → unified master → Amazon, Walmart, eBay
Once attributes pass validation, push them wherever they need to go. Sync directly to connected marketplaces through official seller APIs. Export cleaned feeds back to your PIM or PXM. Download channel-specific CSVs for manual upload where API access isn't available. Every export follows the target platform's required schema—no post-processing needed.
24.online never stores marketplace usernames or passwords. All connections use OAuth tokens or API keys with scoped permissions. Changes to live listings go through official seller APIs, and every action is logged for audit and rollback.
Whether you need CSV import for a quick catalog refresh, API integration with internal systems, or ongoing multi-channel sync across five marketplaces, 24.online handles product feed import and data merge without fragmenting your workflow—making product feed management a background process, not a daily fire drill.
Every attribute change you make should be measurable. 24.online tracks your product data quality score across channels—monitoring attribute completeness, validation errors, and data consistency over time. When you fix a missing material type or correct an invalid unit format, the system logs exactly which fields changed and connects those updates to your overall Listing Quality Score. Improved data quality typically supports better discoverability and fewer listing issues, giving you a clear view of progress without guesswork.
Percentage of required and recommended attributes filled across your catalog, broken down by marketplace.
Count of validation failures and rejected updates, categorized by error type and channel.
How often attribute values match expected formats, enums, and normalization rules across listings.
Attribute completeness trending upward; submission errors trending downward over the selected period.
Each metric links back to specific SKUs and fields, so you can trace improvements directly to the changes your team—or the AI agent—made. Use scheduled reports to keep stakeholders aligned without manual exports.
24.online runs on a usage-based credits model. You spend credits only when the AI performs work—analyzing your catalog, auto-filling missing attributes, normalizing values, or pushing changes to a marketplace. No per-seat fees. No charges for browsing dashboards or reviewing recommendations. You pay for output, not access.
Daily credit refresh lets you run audits and test attribute automation on a limited catalog. Ideal for evaluating results before scaling.
Monthly credit allocation plus daily refresh. Covers ongoing attribute management for growing catalogs across multiple channels.
Volume credits, priority processing, and dedicated support. Built for teams managing large SKU counts with continuous syndication.
Credit costs vary by operation type. Analysis and validation cost less than AI-generated attribute fills. Full pricing details, credit packs, and plan comparisons are on the pricing page.
Chat with our team or open a support ticket—we'll help you map, normalize, and publish with confidence.
Contact supportNo matching questions found. Try adjusting your search term.
Product attribute mapping is the process of matching your internal catalog fields to the specific attribute requirements of each marketplace—like color, size, material, or voltage. Accurate mapping determines whether your products appear in filtered searches, qualify for category placement, and pass listing validation. Poor mapping leads to suppressed listings, lost visibility, and compliance rejections.
Our AI analyzes your raw attribute values—like "10 inches," "10in," or "10"—and standardizes them to match each marketplace's accepted format (e.g., "10 in" for Amazon). It applies unit conversions, corrects spelling variations, resolves synonyms, and maps free-text entries to controlled vocabularies or enum lists required by platforms. The result: consistent, compliant data across every channel.
Yes. 24.online processes bulk attribute updates at scale—whether you're filling missing values, normalizing inconsistent data, or remapping fields for a new marketplace. You upload or connect your catalog, define rules or let the AI suggest corrections, then apply changes to thousands of SKUs in a single operation.
Absolutely. 24.online integrates with leading PIM/PXM platforms via API, file import, or direct connectors. You can pull product data from your master system, enrich and normalize attributes within 24.online, and push validated changes back—or export clean data for manual upload. Your PIM remains the source of truth; we handle the marketplace-specific transformation layer.
We maintain up-to-date templates for Walmart's Item Spec 5.0 (OmniSpec 5) requirements, including required and recommended attributes by category, accepted values, and validation rules. The AI flags missing or non-compliant fields before you publish, suggests corrections, and formats data to pass Walmart's ingestion checks—reducing rejection rates and accelerating go-live.
Yes—full control is built in. By default, every AI suggestion appears as a draft for your review. You can accept, edit, or reject changes individually or in bulk. Only when you approve does the update sync to your marketplace. If you prefer, you can enable auto-publish for low-risk changes within rules you define, but manual review is always available.
You can reject or edit any suggestion before it's applied. Every change is logged with before/after values, so you can audit decisions and roll back if needed. Over time, your corrections train the system to avoid similar errors. If you spot a pattern of mistakes, flag it—our support team can adjust mappings or rules for your catalog.
For missing values, the AI infers attributes from available information: product titles, descriptions, images, existing fields, and marketplace category context. It cross-references known product databases, brand specifications, and structured feeds you provide. You always see the source and confidence level for inferred values before publishing.
In benchmarks across e-commerce catalogs, AI extraction matches or exceeds human accuracy for structured attributes—especially at scale, where manual fatigue introduces inconsistencies. The AI applies the same rules uniformly to every SKU, catches edge cases humans miss, and flags low-confidence predictions for review. For ambiguous or brand-specific fields, human oversight remains essential.
24.online supports Amazon (including backend search terms, product type, and variation attributes), Walmart (Item Spec 5.0 / OmniSpec 5), Shopify (options, variants, metafields), eBay (item specifics, category-specific requirements), and Etsy (attributes, materials, personalization fields). Templates and validation rules are maintained for each platform and updated as requirements change.
Yes. 24.online's mapping layer lets you define how each internal field translates per channel. For example, your "Material" field might map to "fabric_type" on Amazon, "Material" on Walmart, and a metafield on Shopify—with value transformations applied automatically. This ensures data consistency at the source while meeting each platform's unique schema.
The Attribute Audit dashboard shows a gap analysis for every SKU: required fields that are empty, recommended fields that would improve discoverability, and values that fail marketplace validation. You see a prioritized task queue—fix the most impactful gaps first. Compliance scores update in real time as you fill or correct data.
Normalization respects your variation structure. The AI identifies variation-defining attributes (like size or color), ensures parent and child SKUs share consistent base values, and flags mismatches that could break variation relationships on marketplaces. You can review variation mappings separately before syncing.
Yes. Export your enriched, normalized catalog as CSV, Excel, or JSON—formatted for direct upload to any marketplace, PIM, or internal system. You can also schedule recurring exports or push data via API to downstream tools. The export includes all mapped and normalized values, along with audit metadata if needed.
We monitor Amazon, Walmart, Shopify, eBay, Etsy, and other supported channels continuously. When a platform changes its category taxonomy, required fields, or accepted values, we update templates and validation rules—often before the change takes effect. You receive alerts if updates impact your active listings, with recommended actions.
Attribute normalization is one piece of the AI Seller agent workflow. These connected tools turn clean attribute data into high-converting listings across every channel.
Get a detailed report scoring attribute completeness for every marketplace — plus a ready-made optimization plan you can apply immediately.
of listings lose rankings due to empty attributes
conversion growth after optimization
average time for a full catalog audit
Analysis across Amazon, eBay, Etsy, and Walmart
Benchmarking against top competitors in your category
Ready-to-use recommendations for every product
Connect your catalog or use demo data — results in just a couple of minutes
No catalog yet? Start with a demo catalog and see results instantly.