UiPath Optimizes Retail and Manufacturing Operations with New Agentic Solutions
New
Retailers and manufacturers face growing pressure to respond quickly to shifting consumer demand, manage complex global supply chains, and optimize pricing and inventory across expanding omnichannel environments. Fragmented data across merchandising systems, enterprise resource planning (ERP) platforms, and supply chain tools, combined with manual analysis and decision making, often slows response times and limits visibility into inventory, pricing, and product performance.
Retail Solution
UiPath Solution for merchandising
Through the UiPath Solution for merchandising, AI agents optimize product assortments by analyzing historical and real-time sales data, performance trends, demand signals, and inventory availability. The result is actionable insights that help merchandising teams maximize margins 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.
“AI adoption is accelerating across the industry, yet many organizations struggle to move from experimentation into full production that delivers measurable business outcomes,” said
“As a digital-first retailer, we’re embracing AI to make smarter, faster decisions that simplify our operations and enhance the customer experience,” said
Manufacturing Solutions
UiPath Solution for commercial pricing
The UiPath Solution for commercial pricing brings agentic AI to the heart of the 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
The UiPath Solution for inventory management provides end-to-end visibility into inventory levels across warehouses, distribution centers, raw materials, and retail locations. It uses 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. This allows for rebalancing across locations to improve inventory turnover and minimize excess inventory and increase service levels.
To learn more about UiPath Solutions for retail and manufacturing, please visit here and register for the UiPath Agentic AI Summit here. The event will be broadcast on
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