Walmart has introduced Wally, a GenAI tool designed to enhance merchant efficiency by automating data analysis and performance diagnostics.
Walmart has introduced Wally, a GenAI tool designed to enhance merchant efficiency by automating data analysis, performance diagnostics, and operational queries. Built with advanced algorithms, Wally processes vast product data volumes, providing merchants with actionable insights to improve decision-making and optimize inventory management.
Wally streamlines merchant workflows by diagnosing why products over- or underperform, identifying top-growing categories, and executing complex calculations. By eliminating tedious manual tasks, the AI assistant allows merchants to focus on strategy and innovation. Walmart plans to refine Wally further using merchant feedback, ensuring continuous improvement in AI-driven retail operations.
Beyond merchant operations, Walmart has integrated GenAI across multiple functions. AI-powered tools assist associates in answering customer queries, locating products, and improving search relevance. GenAI also enhances review summaries, prioritizes key product features, and refines store layout designs. Additionally, Walmart leverages AI for software development, saving 4 million developer hours by accelerating coding and reducing errors.
Retailers are increasingly adopting GenAI to refine their business models. Walmart’s rival Target recently reported using AI to track social media trends and adjust digital storefronts accordingly. With Wally, Walmart strengthens its position as a leader in AI-driven retail, using GenAI to enhance merchant decision-making and customer experiences alike.