Autonomous Product Listing Pipeline for SuitsMeUK

Ali

Ali Shan

Project Snapshot:

I engineered a fully autonomous "raw-to-retail" pipeline that takes rough client photos and automatically generates SEO-optimized product listings and high-fidelity visual assets, publishing directly to Shopify without human input.

The Challenge:

SuitsMeUK faced a bottleneck common in fashion e-commerce: high inventory turnover vs. slow manual data entry. They had folders of raw images on Google Drive but lacked the manpower to manually write hundreds of descriptions and edit thousands of photos for the web.

The Solution:

I built a custom Python-based automation agent that acts as a 24/7 digital merchandiser.
Visual Intelligence: The system monitors Google Drive. When raw images are uploaded, it uploads them to google nano banana via api to "see" the garment, identifying fabric type, color palettes, and stylistic patterns.
Generative Imaging: Instead of just using raw photos, the pipeline utilizes generative AI to process the images and creating website-ready product photography (enhancing quality, adjusting backgrounds, and generating variations).
SEO: Based on the visual analysis, the system writes persuasive, on-brand product titles, descriptions, and meta-tags optimized for search intent.
Instant Deployment: The final text and generated images are packaged and pushed to the Shopify store via API, ready for sale instantly.

The Impact:

Zero-Touch Workflow: Reduced the time-to-web from days to minutes.
Asset Creation: automated the costly process of photo editing and asset generation.
SEO Consistency: ensured 100% of products launched with keyword-rich metadata.
Like this project

Posted Dec 1, 2025

Engineered an autonomous pipeline for SEO-optimized product listings for SuitsMeUK.