B2B E-Commerce Company

---

 In the B2B eCommerce space, we transformed a traditional product search platform into an intelligent discovery engine using a sophisticated combination of Microsoft Azure Cognitive Search, Elastic Search Enterprise, and custom ML models. The solution addressed the complex needs of technical buyers through semantic search, personalization, and multi-modal interfaces, leading to a 65% improvement in search relevancy and 40% reduction in search time. 

Technical implementation leveraged Databricks Enterprise for data processing, MuleSoft for B2B integration, and Snowflake for analytics, creating a robust, scalable architecture. The system's ability to handle complex technical specifications and product relationships was enhanced by deep learning models trained on industry-specific terminology, while real-time personalization was powered by Azure Machine Learning services.