Factcool, a leading fashion e-commerce player in the CEE region, faced a challenge with weak and inconsistent product descriptions provided by suppliers, which negatively impacted the customer experience.
Every month, the client listed thousands of new products from various suppliers
They received minimal, often inconsistent or overly technical descriptions – frequently only in English
They needed product descriptions to be customer-friendly, informative, and available in multiple languages
Due to the volume, manual content creation was time- and cost-prohibitive
The goal was to develop a solution that would:
Enhance the on-site customer experience
Enable scalable, automated generation of product descriptions without human input
Support the e-shop’s multilingual expansion strategy
We designed an AI-powered product description generator for the client that:
Analyzed the visual appearance of each product from supplier images (color, style, fit, use case)
Combined this data with available supplier metadata (e.g., brand, material, category)
Generated rich, sales-oriented, and style-aware descriptions that:
Were differentiated for men’s and women’s product lines
Took into account usage context (e.g., casual wear, elegant style, layering, etc.)
Localized descriptions into multiple languages
The solution operated fully autonomously and enabled the maintenance of high-quality descriptions even at large product volumes.
„The AI solution from Insynaps showed us that even fashion descriptions can be scaled with style – without compromising on quality.“
Factcool
- High quality of generated descriptions, comparable to manually written content.
- Reduced need for manual work when listing thousands of products each month.
- Increased potential for content localization across multiple countries without translation services.
- Confirmed value of the solution as functional and ready for production deployment.