We are seeking a data engineering expert to develop a real-time analytics platform for our seafood supply chain. Using cutting-edge technologies like Apache Kafka and Spark, this platform will enable our startup to monitor and optimize supply chain operations, ensuring freshness and quality compliance.
Our primary users are seafood suppliers, distributors, and retail partners who need real-time insights into the supply chain to ensure product quality and compliance.
The seafood industry is plagued by quality control issues due to gaps in real-time supply chain monitoring, leading to spoilage and compliance risks.
Our audience is driven by the need to adhere to stringent quality regulations and the competitive advantage gained through superior supply chain transparency and efficiency.
Failure to address these issues could lead to significant financial losses from product spoilage, non-compliance penalties, and damage to brand reputation.
Existing solutions are either too generic or lack the capability to handle real-time data specific to seafood supply chains, offering limited actionable insights.
Our platform uniquely integrates real-time analytics with MLOps to provide predictive insights, reducing waste and optimizing inventory specific to the aquaculture sector.
Our go-to-market strategy focuses on partnerships with seafood industry trade associations and a targeted advertising campaign highlighting the platform's unique benefits in quality assurance and compliance.