AI-powered recommendation engine
An AI recommendation engine is a system that uses aAI to analyse user behaviour, preferences, and data patterns to suggest relevant products, content, or services. By leveraging ML and data embeddings, it delivers personalised recommendations in real-time, enhancing user experience and boosting engagement and sales.
Cloud AI solution
Data vectorisation + RAG
Fine-tuned hosted LLMs
Integration via APIs
Challenge:
A major e-commerce platform faced limitations with its traditional SQL-based recommendation system, which struggled to capture complex user behaviours and preferences effectively. As a result, recommendations often felt generic, leading to lower user engagement, missed sales opportunities, and rising operational costs due to manual updates and management. The company needed a solution that could enhance personalisation, automate recommendation processes, and boost sales while reducing costs.
Solution:
The company leveraged Trismeg’s platform to build and deploy the E-Commerce GAI Recommendation Engine. By integrating SQL-based data management with Machine Learning (ML) and Generative AI (GAI), the solution generated personalised product suggestions, dynamic content, and tailored marketing messages. Trismeg Link was used to transform diverse data sources—such as purchase history, browsing behaviour, and product metadata—into embeddings, enabling deeper insights. With Trismeg Forge, the company customised and deployed open-source models quickly using a low-code approach. The AI engine delivered highly relevant recommendations in real-time, creating a seamless and engaging shopping experience.