How AI Is Transforming Product Data Enrichment in Ecommerce

The Hidden Cost of Manual Product Data Entry

Every ecommerce business knows the pain: a supplier sends over a spreadsheet with 500 new products, and your catalog team has to manually classify each one, research specifications, fill in attributes, and write descriptions. A single import can take days.

This isn't just slow, it's expensive. Manual data entry leads to inconsistent formatting, missing attributes, and classification errors that directly impact search, filtering, and conversion rates.

Enter AI-Powered Enrichment

Modern AI models can read a product name, description, or even an image and automatically determine the correct category, extract structured attributes like material, dimensions, and color, and fill in missing fields with remarkable accuracy.

At Keyvos, we built Enrich specifically for this workflow. Upload a spreadsheet, map your columns, and let the AI do what used to take your team days.

Three Modes That Cover Every Scenario

Web Search Enrichment takes a barcode or manufacturer part number and searches the web for the full product specification. AI Classification reads your existing product names and descriptions to categorize and structure them. Image Analysis extracts visual attributes directly from product photos.

Real Results

Our early users report reducing product onboarding time by 80-90%. A 500-product import that used to take 3 days now takes under an hour, with higher consistency and fewer errors.

The future of ecommerce catalog management isn't about hiring more data entry staff. It's about giving your existing team the right tools.