UiPath Optimizes Retail and Manufacturing Operations with New Agentic Solutions

Key Terms

agentic automation technical

Agentic automation refers to computer systems that can make decisions and perform tasks on their own, without needing a person to control every step. It’s like a smart robot that can analyze information and act independently, which can help businesses work faster and more efficiently—but also raises questions about oversight and reliability.

ai agents technical

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

enterprise resource planning (erp) technical

Enterprise resource planning (ERP) is a type of software that helps a business organize and manage its core activities—such as finance, supply chain, manufacturing, and human resources—within a unified system. It acts like a central hub that brings together different parts of a company, making operations more efficient and providing better data for decision-making. For investors, ERP systems can signal how well a company integrates and manages its resources, impacting overall performance and growth prospects.

quote-to-order process technical

The quote-to-order process is the sequence businesses use to turn a customer inquiry into a confirmed sale, starting with a price estimate (quote), moving through negotiation and approval, and ending when the customer places an official order. Investors care because how quickly and accurately a company converts quotes into orders affects revenue predictability, profit margins, inventory needs and cash flow—think of it as the efficiency of a store’s checkout line that determines how many sales actually happen and at what cost.

machine learning technical

Machine learning is a set of computer programs that learn patterns from large amounts of data and improve their predictions or decisions over time, like a recipe that gets better each time it’s adjusted based on taste tests. For investors it matters because these systems can speed up analysis, spot trends or risks humans might miss, automate routine work, and potentially create competitive advantages or cost savings that affect a company’s performance.

omnichannel technical

A coordinated approach to selling and serving customers across all touchpoints—stores, websites, mobile apps, social media, and call centers—so the experience feels like one continuous conversation no matter where a customer interacts. For investors, omnichannel capability signals how well a company can attract and keep customers, turn interactions into sales, and use shared customer data to cut costs and boost revenue—making it a key driver of growth and competitive strength.

New UiPath Solutions help retailers and manufacturers compile data across fragmented systems to automate merchandising, pricing, and inventory workflows, improving operational performance and delivering better customer experiences

NEW YORK--(BUSINESS WIRE)-- UiPath (NYSE: PATH), a global leader in agentic automation, today 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 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 Catherine Frame, Director of Retail Solutions at UiPath. “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 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.”

“As a digital-first retailer, we’re embracing AI to make smarter, faster decisions that simplify our operations and enhance the customer experience,” said Dan Finley, CEO of Debenhams Group. “This technology will transform how we manage stock and pricing – especially during the busy festive season – and help us continue to deliver great value and service across all our brands.”

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 March 25 in three time zones: 10:00 am GMT, 11:00 am EDT, and 3:00 pm AEDT.

About UiPath

UiPath (NYSE: PATH) is a global leader in agentic automation, empowering enterprises to harness the full potential of AI agents to autonomously execute and optimize complex business processes. The UiPath Platform™ uniquely combines controlled agency, developer flexibility, and seamless integration to help organizations scale agentic automation safely and confidently. Committed to security, governance, and interoperability, UiPath supports enterprises as they transition into a future where automation delivers on the full potential of AI to transform industries. For more information, visit www.uipath.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260325289561/en/

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Source: UiPath