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Beyond Human Precision: Automating Shipment Document Extraction
Client Overview
Supply chains run on data, but accessing that data often relies on slow, manual processes. A leading global FMCG enterprise partnered with Aya Data’s AI Solutions team to build a system capable of extracting and evaluating complex shipment documentation at scale-with the ultimate goal of surpassing human-level accuracy.
Industry: Global Fast-Moving Consumer Goods (FMCG)
Project Focus: AI-Powered Document Extraction & OCR Pipeline
The Challenge: The Human Bottleneck in Supply Chain Data
For global FMCG companies, processing shipment documents is a massive operational hurdle. The client relied entirely on manual document review, which created several critical challenges:
- Throughput Limitations: Manual data entry is fundamentally bounded by human speed, creating bottlenecks during high-volume shipping periods.
- Document Variability: Global shipping involves a vast array of document formats, structures, languages and edge cases, meaning a high cognitive demand for reviewers and increasing the time it takes to produce and validate a Bill of Entry before submission to Customs..
- The High Accuracy Threshold: The current human reviewers operate at a highly proficient baseline (approximately 98% accuracy), the 2% difference can result in costly penalties from Customs. For an automated AI pipeline to be adopted, it didn’t just need to match this human baseline, it had to exceed it.
The initial scope of the project was restricted to a single shipment document type, but the broader business objective required a scalable solution that could adapt to numerous formats and unpredictable edge cases.
Our Solution: A Custom Extraction & Evaluation Pipeline
To solve this, Aya Data engineered a specialized AI-powered extraction and validation pipeline tailored specifically for the complexities of global logistics documentation.
Instead of relying on out-of-the-box OCR (Optical Character Recognition) tools that struggle with unstructured or highly variable layouts, our AI Solutions team deployed a highly tuned vision model system designed to:
- Extract Complex Data: Intelligently ingest and process unstructured shipment documents.
- Standardize Output: Convert the raw text into clean, structured data formats ready for immediate downstream use.
- Automate Evaluation: Run continuous, automated evaluations against the extracted output to verify accuracy and flag edge cases, augmenting the manual review process. This involved implementing the client’s IMPEX checklist, and domain context.
As the client granted access to more diverse data, we continuously finetuned and expanded the pipeline to handle entirely new document types and structural variations.
Impact & Sustained Results
The implementation of this custom AI pipeline successfully transformed the client’s document processing capabilities, proving that automated systems can surpass legacy manual workflows.
Project Impact by the Numbers:
- >99.5% Target Accuracy: The AI powered pipeline is targeting and clearing the rigorous human-baseline accuracy threshold, ensuring flawless data reliability.
- Massive Scope Expansion: Successfully scaled the pipeline’s coverage from a single shipment document type to seamlessly handling multiple, highly varied formats.
- Upgraded OCR Core: The complex edge cases encountered during this engagement drove a meaningful, permanent uplift in Aya Data’s underlying OCR capabilities, raising the accuracy floor for all future data extraction initiatives.
Revolutionize Your Document Processing with Aya Data
Legacy manual review processes shouldn’t be the bottleneck in your operations. Aya Data’s AI Solutions team specializes in building custom extraction, OCR, and evaluation pipelines that handle complex, variable documents with superhuman accuracy.
Contact Aya Data today to discover how we can automate your data extraction workflows.
Disclaimer: Aya Data respects client confidentiality and will not share client details or project information without the client's approval.
