Phoenix - Your AI AssistantEnrich 12000 products using AI & web data automation
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What you get with this Offer
Turn incomplete product data into a structured, analysis-ready database using AI, intelligent matching, and automated web research.
I will enrich your existing product catalog by collecting missing specifications from manufacturer websites, trusted retailers, product documentation, and other reliable online sources. Where SKUs differ between websites, I use AI-assisted entity matching combined with manual validation to maximize accuracy instead of relying on exact SKU matches alone.
What I will deliver
• Product data enrichment for up to 12,000 products
• AI-assisted product matching across multiple sources
• Manufacturer specification extraction
• Attribute normalization and standardization
• Data validation and duplicate detection
• Structured Excel or CSV output
• Consistent naming, units and formatting
• Progress reports throughout the project
Suitable for
• E-commerce catalogs
• Product databases
• Market analysis
• Competitive research
• Inventory enrichment
My workflow
• Review your existing dataset and required fields
• Match products using SKU, title, brand and AI similarity analysis
• Collect specifications from trusted sources
• Validate conflicting information
• Normalize all attributes into a consistent structure
• Deliver a clean dataset ready for import or analysis
The final database will be significantly richer, easier to search, filter and analyze while reducing missing specifications and inconsistent product records.
I will enrich your existing product catalog by collecting missing specifications from manufacturer websites, trusted retailers, product documentation, and other reliable online sources. Where SKUs differ between websites, I use AI-assisted entity matching combined with manual validation to maximize accuracy instead of relying on exact SKU matches alone.
What I will deliver
• Product data enrichment for up to 12,000 products
• AI-assisted product matching across multiple sources
• Manufacturer specification extraction
• Attribute normalization and standardization
• Data validation and duplicate detection
• Structured Excel or CSV output
• Consistent naming, units and formatting
• Progress reports throughout the project
Suitable for
• E-commerce catalogs
• Product databases
• Market analysis
• Competitive research
• Inventory enrichment
My workflow
• Review your existing dataset and required fields
• Match products using SKU, title, brand and AI similarity analysis
• Collect specifications from trusted sources
• Validate conflicting information
• Normalize all attributes into a consistent structure
• Deliver a clean dataset ready for import or analysis
The final database will be significantly richer, easier to search, filter and analyze while reducing missing specifications and inconsistent product records.
What the Freelancer needs to start the work
Existing dataset (CSV, Excel or database export)
Complete list of required attributes
Sample products for validation
Preferred output format
Priority manufacturers (if any)
Any trusted data sources you want used