UiPath announced new purpose-built agentic AI solutions designed to help organizations across retail and manufacturing industries optimize and automate complex workflows spanning merchandising, commercial pricing, and inventory management.
“Retailers are under constant pressure to operate more efficiently while delivering exceptional customer experiences,” says Catherine Frame, director of retail solutions at UiPath. “AI adoption is accelerating across the industry, yet many organizations struggle to move from experimentation into full production that delivers measurable business outcomes. Our UiPath Solutions are purpose-built for the most common use cases for retailers, taking advantage of the combination of agents and agentic business orchestration to unlock agentic AI-driven decision making that gets them ahead of inventory, pricing, and supply chain challenges. Retailers can rapidly deploy automation across their most important operational processes—from merchandising and pricing to supply chain operations—while maintaining the governance and trust required to scale AI responsibly.”
Key takeaways:
· UiPath solution for merchandising. AI agents optimize product assortments using historical and real-time sales data, analyzing performance trends, demand signals, and inventory availability, delivering actionable insights that help merchandising teams maximize margin and improve inventory efficiency. The solution also helps retailers align pricing and markdown strategies with demand signals and competitive conditions. Built-in capabilities include price elasticity analysis to measure the impact of price changes on demand, as well as a promotion and markdown planner that uses forecasting to optimize campaign timing and pricing adjustments. A campaign agent further automates the launch and management of promotions across both digital and physical channels.
· UiPath solution for commercial pricing. The UiPath solution for commercial pricing brings agentic AI to the heart of your quote-to-order process, enabling organizations to predict market shifts, decide optimal pricing strategies, and execute them autonomously. By combining advanced AI models with enterprise automation, it helps teams move faster, improve win rates, and protect margins—turning pricing from a manual bottleneck into a real-time competitive advantage.
· UiPath solution for inventory management. This solution provides end-to-end visibility into inventory levels across warehouses, distribution centers, raw materials, and retail locations, using AI agents, machine learning and optimization models to analyze demand patterns and operational signals to predict potential stockouts, automate replenishment workflows, and recommend inventory levels, rebalancing across locations to improve inventory turnover and minimize excess inventory and increase service levels.
