Our product integrated a high-speed Spark-driven data pipeline, orchestrated by Airflow as a scheduler, while structured data was stored in Snowflake or Redshift, guaranteeing optimal processing and storage. We also employed the Sagemaker framework to develop Machine Learning models, equipped with readily available, pre-built models tailored for business intelligence, supply chain risk management, and other high-impact scenarios. In addition, we streamlined the entire workflow, encompassing data transformation, ML modeling, and culminating in compelling visualizations.