Real-time Data Integration and Analytics Platform for Seafood Supply Chain Optimization

Our company, a leader in the Seafood & Aquaculture industry, is embarking on a project to implement a real-time data integration and analytics platform to enhance supply chain efficiency. The seafood industry faces significant challenges, including fluctuating demand, regulatory compliance, and sustainability concerns. To address these, we require a robust platform that can ingest and process data in real-time from multiple sources such as fisheries, transportation, and retail outlets. The project involves designing and deploying a data pipeline using technologies like Apache Kafka and Spark for event streaming and real-time data processing. We aim to integrate data from various departments into a centralized data warehouse, leveraging tools like Snowflake or BigQuery. This unified data environment will support analytics and reporting, driving insights into inventory management, logistics optimization, and compliance reporting. Additionally, the use of MLOps will facilitate the deployment of machine learning models to predict demand trends and optimize resource allocation. We envision a scalable and resilient architecture that supports data observability, ensuring data quality and reliability across the platform. Our goal is to enhance decision-making, reduce waste, and increase our operational efficiency.