Real-Time Data Pipeline and Analytics Platform for Home & Garden Supply Chain Optimization

Our enterprise company in the Home & Garden industry is seeking to overhaul its supply chain management by implementing a cutting-edge real-time data engineering solution. The project involves building a scalable data pipeline capable of processing and analyzing supply chain data in real-time. The goal is to leverage technologies such as Apache Kafka for event streaming, Spark for data processing, and Snowflake for cloud data warehousing. This solution will enable the company to gain granular insights into inventory levels, supplier performance, and customer demand patterns, thus facilitating more informed decision-making. Additionally, we aim to implement MLOps practices for continuous delivery and integration of machine learning models to predict demand and optimize inventory turnover. By utilizing dbt for data transformations and Airflow for scheduling complex workflows, the platform will support robust data quality and observability features. This project will ultimately enhance our competitive edge by reducing operational costs and improving customer satisfaction.