Case Study: Jabil achieves end-to-end product traceability with Addepto's AI-based manufacturing solution

Jabil improves product traceability with Addepto using AWS-based data lake

Jabil, a global manufacturing solutions provider, faced significant challenges with product traceability and legacy system performance. They lacked end-to-end visibility across their production lifecycle, making it difficult to detect defects early, respond to quality issues, or manage recalls efficiently. To address this, Jabil partnered with Addepto to design and implement a new AI-based product traceability system.

Addepto implemented an AWS-based Data Lake to ingest and store massive volumes of data, alongside a data processing engine and a high-performance reporting layer. This solution provided Jabil with real-time visibility into production processes, enabling faster root-cause analysis and improving the accuracy of inventory tracking. The system developed by Addepto facilitates quicker responses to quality issues, helps ensure product quality and compliance, and increases overall operational transparency.

Jabil