Automated Banner Compliance Monitoring for Partner Websites
Tools:
Apify, ChatGPT (Image Analysis), Google Sheets, Make.com
Focus:
Web monitoring, Brand Compliance, Workload Reduction
Problem:
Ahead of major campaigns such as Black Friday, the client provides official banner assets to multiple partners and resellers that must be displayed correctly on their websites. The existing process required manually checking 100–200 URLs one by one to confirm banner presence and compliance. This approach was time-consuming, repetitive, and difficult to scale for frequent campaigns and promotional events.
Solution:
To create a scalable and repeatable monitoring system, I helped design an automated workflow combining web scraping and AI-based image analysis:
Used Apify to automatically visit reseller URLs and extract page images and visual assets.
Leveraged ChatGPT for image analysis to assist in identifying banner visuals and brand elements.
Implemented two banner detection approaches:
Visual comparison to detect official Maxi-Cosi banner creatives.
Text and logo-based analysis to identify retailer-created visuals that still feature the Maxi-Cosi brand.
Stored results in a Google Sheet with clear TRUE/FALSE indicators for each detection method, allowing for fast review and validation.
Outcome:
This project demonstrates how AI-assisted automation can replace large-scale manual website checks with a reliable monitoring system. The solution significantly reduces review time, improves consistency across partner sites, and can be reused for any future campaign or event—showcasing my ability to combine web automation with AI tools for practical, real-world business use cases.
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