How Showcase Leveraged ReNest to Develop a Scalable AI Solution for Book Recommendations
Showcase, a startup dedicated to helping publishing houses expand their reach with advanced digital services, sought to revolutionize the book recommendation process. Their goal was to develop an AI solution that could recommend the right book to the right person at the right time. This required a solution that was not only portable — able to be deployed across various publishing clients with various collection — but also scalable to handle spikes in demand, such as during the holiday season.
Editions La Martinière, a French publishing house has been using the service for a year without a single maintenance issue.
The Challenge: Creating a Scalable and Portable AI Recommendation System
Maxence Brochard, CTO at Showcase, approached ReNest to assist in the development of an AI-driven recommendation system. The primary challenges were ensuring the system’s portability to different publishers and its ability to scale efficiently to maintain service continuity during peak times.
The ReNest Solution
The solution was developed, tested, and put into production in just one month, meeting all scalability requirements. Additionally, Showcase’s use of GCP credits ensured that running the AI solution incurred no additional costs.
Results: Fast Deployment and Cost Efficiency
Maxence Brochard, CTO at Showcase, shared his positive experience with ReNest:
The deployment with ReNest allowed us to speed up development with Supabase, ActivePieces, and Weweb, while significantly reducing the complexity associated with CI/CD and infrastructure maintenance.