UiPath (NYSE: PATH) announced new artificial intelligence solutions designed to automate workflows in retail and manufacturing operations. The company's agentic AI solutions target merchandising, commercial pricing, and inventory management processes across both industries.

The retail solution for merchandising uses AI agents to analyze sales data, performance trends, and inventory availability to optimize product assortments. The system includes price elasticity analysis and a promotion planner that uses forecasting to optimize campaign timing and pricing adjustments.

For manufacturing, UiPath introduced a commercial pricing solution that integrates AI models with enterprise automation for the quote-to-order process. The company also released an inventory management solution that provides visibility into inventory levels across warehouses, distribution centers, and retail locations.

"AI adoption is accelerating across the industry, yet many organizations struggle to move from experimentation into full production that delivers measurable business outcomes," said Catherine Frame, Director of Retail Solutions at UiPath.

Debenhams Group CEO Dan Finley stated that the company plans to use the technology to manage stock and pricing operations, particularly during peak seasons.

The solutions use machine learning and optimization models to analyze demand patterns and automate replenishment workflows. The inventory management system aims to predict stockouts and recommend inventory levels across multiple locations.

UiPath will host an Agentic AI Summit on March 25, broadcasting in three time zones at 10:00 am GMT, 11:00 am EDT, and 3:00 pm AEDT. The information was provided in a company press release.