Real-time Data Pipeline Implementation for Enhanced Supply Chain Visibility

As a scale-up in the competitive textiles and apparel industry, we are aiming to gain a competitive edge through enhanced supply chain visibility. We face challenges with delayed insights due to batch processing of data, which hinders our ability to respond swiftly to market demands and operational inefficiencies. Our solution involves the implementation of a robust, real-time data pipeline using Apache Kafka for event streaming, Spark for processing, and Airflow for orchestrating workflows. Additionally, dbt will be used for data transformation, and data will be stored in Snowflake or BigQuery for efficient querying and analytics. The project also includes setting up data observability measures to ensure data quality and reliability. By enabling real-time analytics, we plan to improve inventory management, predict demand shifts more accurately, and optimize our supply chain operations, ultimately driving better business outcomes.