Real-Time Analytics Platform for Specialty Foods Supply Chain Optimization

Our enterprise, a leader in the Specialty Foods sector, seeks a data-driven solution to enhance supply chain efficiency and visibility. Currently, our supply chain operations are hindered by data silos and latency issues, impacting inventory management and distribution logistics. We are embarking on an ambitious project to build a real-time analytics platform that integrates data from various sources using Apache Kafka for event streaming and BigQuery for data storage and analytics. The platform will leverage Spark for processing large volumes of data and Airflow for orchestrating workflows, ensuring a seamless flow of information across departments. By implementing data mesh principles, the project will democratize data access and enable teams to derive actionable insights independently. Snowflake and Databricks will be employed to further enhance data processing capabilities and support machine learning operations (MLOps) for predictive analytics. This initiative is critical to maintaining our competitive edge by reducing lead times, improving forecast accuracy, and enhancing customer satisfaction. The project will be executed over a period of 16-24 weeks with a dedicated team of skilled data engineers and analysts.