Product Classification System
Transformer-based classifier turning unstructured product descriptions into structured categories at enterprise scale.
Descriptions in, categories out.
A clean inference path from raw product descriptions to structured category outputs, deployed through ONNX Runtime and a .NET API.
Production numbers.
From data to enterprise inference.
Anonymised summary of the ML delivery flow and deployment stack.
Problem
A global maritime client needed to turn unstructured product descriptions into a strict taxonomy of 600+ categories at enterprise scale.
ML pipeline
Owned end-to-end delivery: data gathering, labelling analysis, experimentation, model evaluation, and error analysis on long-tail categories.
Model deployment
Fine-tuned transformer exported to ONNX Runtime for fast, portable inference - served behind a .NET API embedded in the client's stack.
Enterprise scale
Serving 2M+ predictions per month with predictable latency, integrated into existing enterprise data flows and monitoring.
Performance
95%+ F1 score on the top 85% of products, with error analysis feeding continuous data and labelling improvements on the long tail.