Enhance data accuracy and fill missing attributes
Fill missing attributes by searching UPCs, reading spec sheets, or extracting values from product images with AI.
Use AI to structure specs from different formats and suppliers into consistent fields aligned with your taxonomy.
Automatically detect and correct inaccuracies to prevent issues that may lead to returns or safety risks.
Generate product descriptions in bulk
Turn technical specs into clear benefits, like translating “Bluetooth 5.0” into “faster, more reliable wireless pairing”.
Generate product titles, bullets, and descriptions that follow your formatting and brand guidelines.
Translate and localize product pages for global markets.
Generate high-res, standardized product images
Standardize backgrounds and aspect ratios to clearly showcase electronic components and devices.
Cover key product angles and upscale images to highlight details like ports and buttons.
Add text or badge overlays to call out specs like wattage, connectivity, or certifications.
Optimize for SEO and AI search
Get keyword suggestions at the product and category level.
Optimize titles and descriptions to rank for specific terms like “wireless earbuds for running”.
Track and monitor visibility on search engines and marketplaces.
Enforce brand and marketplace guidelines
Automatically detect and fix violations of brand or marketplace rules with AI.
Maintain consistency in tone, phrasing, and terminology across SKUs.
Apply brand style and formatting rules at scale.
Scale high-performing product content with AI
Explore insights on ecommerce product data and content
Product Data Enrichment: Why It’s Essential for Ecommerce Success
Product data enrichment helps enrich your product data with relevant information automatically pulled from the web. In this article, we'll discuss what it is, why it’s important for ecommerce brands, and how you can harness its power to level up your product pages.
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