Case Study: Walmart improves conversational AI data quality with Labelbox

Walmart improves data accuracy by 25% with Labelbox

Walmart sought to enhance the production of high-quality training data for its conversational AI and LLM applications, including its Text-to-Shop feature and customer service chatbots. The challenge was to move away from a black-box process with external providers and gain better visibility and control over the data labeling for millions of product SKUs and conversational text.

Labelbox provided Walmart with an end-to-end platform featuring in-app workflows optimized for conversational AI, including text and image editors. This solution delivered an estimated 25% improvement in data accuracy and a 25% reduction in turnaround time. According to a Walmart director, Labelbox was a gamechanger, providing the critical data quality needed to power their models effectively.

Walmart