Case Study: Retail Company achieves 99% accurate frictionless checkout with Tasq.ai

A Retail Company - Customer Case Study

Retail Company needed a way to label a large catalog of thousands of products in many languages for frictionless checkout, but they struggled to find a global labeling provider that could identify items in shopping carts with the context and accuracy required. Their in-house efforts were slow and expensive, delaying their roadmap. Tasq.ai provided the data annotation and image labeling support they needed.

Using Tasq.ai’s workflow platform and global network of Tasqers, the Retail Company was able to get labeled datasets in hours and days rather than weeks or months. The solution handled multi-language task routing, object identification, bounding boxes, and pixel-level segmentation, reaching 99% accuracy and helping the customer achieve immediate ROI at checkout for global retail operations.