AI-POWERED E-COMMERCE PRODUCT ENRICHMENT
AI та машинне навчання
Developed an AI-powered automation system that updates product descriptions and estimated market prices for online stores using Google Gemini with Google Search grounding.
PROJECT OVERVIEW
The platform automates product enrichment by analyzing existing catalog items, searching for relevant information on the web, comparing multiple sources, and generating updated product descriptions together with estimated current market prices.
Instead of manually researching hundreds or thousands of products, the system processes the catalog automatically and produces structured, ready-to-import data.
WORKFLOW
• Import products from the store database or spreadsheet.
• Read product name and existing information.
• Send the product to Gemini.
• Gemini performs Google Search to find relevant sources.
• Compare information from multiple websites.
• Estimate the current market price.
• Generate a new SEO-friendly product description.
• Export updated results.
• Save processing history and logs.
AI PRODUCT ANALYSIS
For every product, Gemini analyzes:
• Product name.
• Category.
• Specifications.
• Existing description.
• Relevant search results.
• Information consistency across sources.
The AI compares publicly available information instead of relying on a single website.
PRICE ESTIMATION
The system estimates an up-to-date market price using multiple search results.
The generated result may include:
• Estimated market price.
• Price range.
• Currency.
• Confidence level.
• Source consistency.
This helps identify outdated pricing without manually checking dozens of websites.
AI DESCRIPTION GENERATION
For every product, the AI creates a unique description based on collected information.
The generated content can include:
• Product overview.
• Key features.
• Main specifications.
• Advantages.
• Typical use cases.
• SEO-friendly structure.
Descriptions are generated individually instead of copying content from existing websites.
EXPORT
Updated data can be exported with:
• Product name.
• Generated description.
• Estimated price.
• Processing status.
• AI confidence.
• Timestamp.
KEY FEATURES
• Bulk product processing.
• Google Search grounded AI.
• AI price estimation.
• AI description generation.
• Multi-source comparison.
• SEO-friendly content.
• Duplicate prevention.
• Batch processing.
• Retry handling.
• Detailed logging.
• Scalable multithreaded architecture.
TECHNOLOGY
Python, Google Gemini, Google Search Grounding, Prompt Engineering, JSON, SQLite, Spreadsheet Processing and Workflow Automation.
RESULT
The platform automates the process of enriching e-commerce catalogs by combining Google Search with Gemini AI. It generates unique product descriptions, estimates current market prices using multiple public sources, and significantly reduces manual research while improving catalog quality.
Customer catalogs, prompts, pricing rules and internal business logic are omitted for confidentiality.
PROJECT OVERVIEW
The platform automates product enrichment by analyzing existing catalog items, searching for relevant information on the web, comparing multiple sources, and generating updated product descriptions together with estimated current market prices.
Instead of manually researching hundreds or thousands of products, the system processes the catalog automatically and produces structured, ready-to-import data.
WORKFLOW
• Import products from the store database or spreadsheet.
• Read product name and existing information.
• Send the product to Gemini.
• Gemini performs Google Search to find relevant sources.
• Compare information from multiple websites.
• Estimate the current market price.
• Generate a new SEO-friendly product description.
• Export updated results.
• Save processing history and logs.
AI PRODUCT ANALYSIS
For every product, Gemini analyzes:
• Product name.
• Category.
• Specifications.
• Existing description.
• Relevant search results.
• Information consistency across sources.
The AI compares publicly available information instead of relying on a single website.
PRICE ESTIMATION
The system estimates an up-to-date market price using multiple search results.
The generated result may include:
• Estimated market price.
• Price range.
• Currency.
• Confidence level.
• Source consistency.
This helps identify outdated pricing without manually checking dozens of websites.
AI DESCRIPTION GENERATION
For every product, the AI creates a unique description based on collected information.
The generated content can include:
• Product overview.
• Key features.
• Main specifications.
• Advantages.
• Typical use cases.
• SEO-friendly structure.
Descriptions are generated individually instead of copying content from existing websites.
EXPORT
Updated data can be exported with:
• Product name.
• Generated description.
• Estimated price.
• Processing status.
• AI confidence.
• Timestamp.
KEY FEATURES
• Bulk product processing.
• Google Search grounded AI.
• AI price estimation.
• AI description generation.
• Multi-source comparison.
• SEO-friendly content.
• Duplicate prevention.
• Batch processing.
• Retry handling.
• Detailed logging.
• Scalable multithreaded architecture.
TECHNOLOGY
Python, Google Gemini, Google Search Grounding, Prompt Engineering, JSON, SQLite, Spreadsheet Processing and Workflow Automation.
RESULT
The platform automates the process of enriching e-commerce catalogs by combining Google Search with Gemini AI. It generates unique product descriptions, estimates current market prices using multiple public sources, and significantly reduces manual research while improving catalog quality.
Customer catalogs, prompts, pricing rules and internal business logic are omitted for confidentiality.