Furniture Meets the Future: AI-Powered Feeds That Convert

The Challenge

Maison Flâneur, a premium furniture marketplace, needed to improve the efficiency of its paid search campaigns across UK and US markets. With over 60,000 items from multiple brands updating daily, the complexity of managing product title quality at scale for Google Shopping was a significant barrier to performance.

The Strategy

Addesu built a custom GenAI pipeline using ChatGPT, transforming product titles at scale. The automated system extracts key product attributes, rewrites titles to meet Google best practices, filters low-quality entries, and manages translations, all in one prompt. Monthly, the system processes up to 60,000 products in just a few hours.

The Work

A structured A/B test was run across two six-week periods, allocating a portion of budget to the AI-enhanced group. The execution leveraged next-generation automation to maximise performance and operational efficiency, and the innovation has since been integrated into the Addesu platform for other brands to access, multiplying its impact well beyond this single campaign.

Results

In the UK, conversion rates rose significantly in test campaigns versus a drop in control campaigns. In the US, conversions increased substantially despite fewer clicks, underscoring dramatically improved efficiency.

The Judges' Verdict

This was a premier example of data-driven innovation, celebrated for its cutting-edge generative AI execution and advanced feed optimisation. The campaign delivered strong performance gains across the board, proving how technical agility can drive substantial, real-world business growth.

"The intelligent use of technology to translate complex data into measurable marketplace impact was praised as particularly impressive."