Case Study: a Fortune 500 e-commerce enterprise achieves 50% faster training signal production with Labelbox

a Fortune 500 e-commerce enterprise boosts signal-production speed 50% with Labelbox

A Fortune 500 e-commerce enterprise needed to personalize the shopper experience using AI models for image classification and object detection across tens of thousands of product SKUs. Their initial service for auto-generating training data failed to meet quality standards, preventing the models from learning effectively, which led them to seek a solution from Labelbox.

Labelbox provided its platform to generate expert-graded training signal, which made the models trainable. The solution automated orchestration via its Python SDK and implemented model-assisted workflows that accelerated data production. As a result, signal quality improved enough to unblock the AI initiatives, and signal-production speed and efficiency increased by 50% with no drop in quality.