A global e-commerce enterprise operating in over 80 countries was under increasing pressure to modernize its data and AI infrastructure. With millions of transactions, diverse product categories, and seasonal spikes in traffic, the company relied heavily on machine learning models to forecast demand, optimize inventory, personalize customer experiences, and drive targeted marketing campaigns.
However, the company’s existing AI landscape was marked by fragmentation, inefficiencies, and a lack of operational maturity.
Key challenges included
To turn AI into a strategic advantage, the client needed a standardized, scalable MLOps platform—one that could streamline development, automate deployment, and deliver reliable, business-aligned insights. Trigent was brought in to make that vision real, powered by Databricks.
Trigent built a full-stack MLOps platform on Databricks, transforming their ML lifecycle with:
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