Filling the online store with product items
Scalable content management and data architecture (e-commerce):
Designing and creating a multi-level category tree: developing a logical structure and navigation for a catalog of 50,000+ products considering SEO requirements and user experience (UX).
Mass filling of the online store with product items: organizing the import and processing of large data sets, including specifications, images, and descriptions.
Automation of data collection and updates: setting up parsing from external resources for automatic monitoring of price relevance and stock availability.
Generation and optimization of content using LLM: utilizing neural networks (Gemini, ChatGPT) to create unique product descriptions and meta-tags on an industrial scale.
Technical quality control of data: checking the correctness of product-category associations, eliminating duplicates and errors in the MySQL database.
Designing and creating a multi-level category tree: developing a logical structure and navigation for a catalog of 50,000+ products considering SEO requirements and user experience (UX).
Mass filling of the online store with product items: organizing the import and processing of large data sets, including specifications, images, and descriptions.
Automation of data collection and updates: setting up parsing from external resources for automatic monitoring of price relevance and stock availability.
Generation and optimization of content using LLM: utilizing neural networks (Gemini, ChatGPT) to create unique product descriptions and meta-tags on an industrial scale.
Technical quality control of data: checking the correctness of product-category associations, eliminating duplicates and errors in the MySQL database.