Acolad Takes Center Stage at Google Cloud: Showcasing Generative AI Success

On Thursday, June 6th, the session tackled how generative AI translates into practical applications. Frédéric Queudret, our Chief AI & Technology Officer, alongside industry experts from Stack Labs and Google, showcased Acolad's AI-powered solution designed to address the challenges faced by modern retailers.

At the Google Cloud session in France, Frédéric Queudret and the TextMaster team showcased the solution to a common challenge for retailers: creating high-quality, SEO-friendly product descriptions in a timely and cost-effective way. Their presentation focused on Acolad's Automated Product Description built on Google Cloud Platform (GCP) by Stack Labs.

 “During this session, Acolad clearly demonstrated how to be successful on Google Cloud Platform to fulfill retailers’ needs by putting AI Automated Product Description at scale”, Frédéric Queudret, CAITO at Acolad.

What does generative AI look like in concrete terms?

Instead of manually writing descriptions for thousands of products, retailers can leverage generative AI. Our solution uses this technology to automate the process entirely. It analyzes keywords and images to create unique descriptions for each product, saving retailers significant time and resources.

But it's not just about speed.  This AI technology also optimizes descriptions for search engines, ensuring products rank higher and attract more organic traffic.  Furthermore, AI Automated Product Description system seamlessly integrates with a brand's specific voice and style, guaranteeing a consistent customer experience across all product descriptions.

Finally, while automation is key, we also prioritize high-quality language generation.  The system incorporates a human review process for final refinement, ensuring exceptional quality before descriptions go live.

The session sparked significant interest among industry leaders. Acolad's team had the opportunity to connect with CTOs, CDOs, and CIOs, many of whom were eager to learn more about our experience building AI solutions on Google Cloud Platform.