Case Study
Large Walnut Plant Achieved Complete, End-to-End Automation of their Packing Process with Borde Inspect
The Challenge
A large walnut plant needed a more reliable way to manage quality control across its entire packing process. Traditional methods relied heavily on manual inspection, sample-based grading, and inconsistent visual checks that only captured a fraction of the true product moving through the line. This created operational bottlenecks and made it difficult to maintain consistent quality across grower lots, particularly as volumes increased. Variability in incoming product, rising labor requirements, and the need for precise grading and defect detection all underscored the limitations of their existing QC workflow.
The Solution
To modernize their operation, the large walnut plant adopted the Borde Inspect System across key points of their packing flow, enabling fully in-line, AI-powered quality automation. As walnuts move from grower-supplied bins through sizing, grading, and packing, Borde Inspect captures and evaluates every single walnut in real time. The system instantly classifies defects, tracks product quality across batches, and ensures a complete, continuous dataset rather than isolated sample checks. Operators can monitor live product flow and quality metrics through Borde’s web dashboard from anywhere in the facility. At each stage, quality data is automatically logged and tied back to the corresponding lot, ensuring full traceability and significantly reducing manual QC labor throughout the process.
The Benefits
- Consistent, accurate grading from 100% inspection that eliminates sample limitations, reduces variability, and ensures precise quality evaluation across all grower lots.
- Reduced labor demands and faster throughput by removing manual inspection tasks and automating defect detection across the entire packing line.
- End-to-end traceability and real-time insights with complete quality datasets tied to each lot, improving accountability, reporting, and operational decision-making.
All rights reserved © 2026 Borde