Commenting on the launch, Richard Potter, CEO and co-founder of Peak, said: “This new era in AI technologies, built on large language models, offers unprecedented potential for businesses to increase their own performance. At the same time, businesses are under enormous pressure to adapt quickly to growing operational complexity, market volatility, changing demand and supply chain disruptions.

“Our agentic AI solutions give our customers the ability to optimize and automate every complex commercial decision in their business — from moving products around their network, to pricing their products perfectly, to managing demand. Together, these capabilities are allowing them to drive increased performance while dealing with this ever-changing business environment we face today.”

Agentic Merchandising: efficiency and agility for retail teams

Agentic Merchandising enables retailers to optimize the entire merchandising lifecycle — from supplier, to distribution center, to store. The solution enhances product lifecycle management across buying, pricing, promotions, allocation, and markdown. By balancing revenue, margin, and inventory goals while reducing manual work, it empowers retailers to respond to market trends with speed and agility.

Agentic Inventory Management: building resilient supply chains

Agentic Inventory Management continuously optimizes inventory decisions across procurement, production and fulfillment. By applying predictive planning and intelligent trade-off analysis, businesses can improve service levels, maximize value, and build smarter, more resilient supply chains.

The Hain Celestial Group, owners of food brands such as Ella’s Kitchen and Hartley’s, is among the first to adopt the solution. James Cranfield, Vice President International Supply Chain at Hain Celestial Group, said: “Working with Peak is helping us build a smarter, more resilient supply chain. By using Agentic Inventory Management, we’re able to anticipate and respond to demand volatility more effectively, ensuring our customers get the products they love while reducing inefficiencies across our operations.”

Agentic Commercial Pricing: resilience in volatile markets

Agentic Commercial Pricing manages all commercial pricing decisions — including list prices and catalog optimization, real-time quotes, and a new bid writing and response capability. By learning from the best bids and intelligently optimizing pricing strategies, enterprises can improve conversion rates, deal velocity, and win rates across the entire quote-to-cash process. The result: faster, sharper pricing decisions that protect margins and boost competitiveness in volatile markets.

George Foster-Jones, Commercial Finance Director at Speedy Hire, added: “We’ve been huge believers in AI to optimize the performance of our operations and commercial activities for several years. Now, with the advances in agentic AI, we can take this even further. Our vision is to have specialized AIs, such as Peak’s Agentic Commercial Pricing, working alongside our teams to optimize every price we set. This ensures our customers always get the best possible offer and service from Speedy.”

Boost to margins and operational agility

With the implementation of Peak’s AI pricing capabilities, hours previously spent managing spreadsheets are now redirected toward developing smarter strategies that support the Group’s growth and ambition to become a leaner, faster and more technology-advanced retail business.

Historically, manual efforts resulted in reactive, trial-and-error markdown cycles. The new system ensures more efficient product movement through clearance, reducing terminal stock buildup and improving cash flow.

Peak enables customers to develop AI workflows, process data, and provide predictions that are used to optimize critical business processes through APIs or integrated web applications. It also provides a new breed of AI-based decisioning applications that enable business users to make highly complex decisions such as planning inventory and optimizing product pricing decisions.

Now as part of UiPath, Peak’s solutions can scale globally and reach new industries, ensuring continued growth and innovation for customers and stakeholders. In turn, Peak’s focus on accelerating AI adoption in sectors like retail and manufacturing will enable UiPath to accelerate market growth and deliver vertical-oriented, next-generation AI-driven agentic applications with intelligence powered by LLMs.

Peak will further enhance the UiPath agentic automation platform. For example, organizations must meet stringent requirements for complex calculations in a variety of business processes. Businesses require accurate analysis and predictions they can trust, and Peak’s solutions will form the backbone of new Pricing and Inventory Agents for UiPath customers. Peak’s broader Decision Intelligence capabilities will also factor into the orchestration capabilities in the UiPath agentic automation platform, allowing for autonomous processes based on contextual customer data.

Customers of both UiPath and Peak are realizing increased revenue and significant margin improvement with the combined technologies. For example, through joint efforts, UiPath and Peak transformed the quoting pricing process for Heidelberg Materials in the UK, one of the world’s largest building materials manufacturers. The solution uses automation to collate data from hundreds of data points, leverages AI to determine an optimal quote for a given customer, and informs sales professionals. With this automated end-to-end process, Heidelberg Materials is experiencing much greater sales team efficiency through faster quotation times and increased conversion rates.

About UiPath

UiPath (NYSE: PATH) develops AI technology that mirrors human intelligence with ever-increasing sophistication, transforming how businesses operate, innovate, and compete. The UiPath Platform accelerates the shift toward a new era of agentic automation—one where agents, robots, people, and models integrate seamlessly to enable autonomous processes and smarter decision making. With a focus on security, accuracy, and resiliency, UiPath is committed to shaping a world where AI enhances human potential and revolutionizes industries. For more information, visit www.uipath.com.

With a diverse product range spanning traded, manufactured and made-to-order goods, Eurocell faced the challenge of balancing inventory levels across its nationwide branch network.

For Eurocell, ensuring product availability without overstocking is critical to maintaining customer satisfaction, reducing customer churn and optimizing working capital.

Peak’s Inventory AI solution was deployed to address these challenges. Harnessing real-time inventory tracking and AI-powered demand forecasting, Peak’s advanced algorithms provided dynamic restocking targets tailored to Eurocell’s operational needs.

These targets were integrated into Eurocell’s ERP system, and have enabled optimized stock levels across the entire branch network, enhanced visibility of inventory for branch managers and accurate demand signals for better forecasting and recommendations.

Since implementing Peak’s Inventory AI solution, Eurocell has achieved significant outcomes:

• £1.86 million in inventory released, freeing up valuable capital for reinvestment and operational efficiency
• 6.7% increase in product availability, ensuring customers have access to the products they need, when they need them
• For the first time, the majority of SKUs are now classified as “well-stocked,” indicating optimal inventory levels without overstocking
• From a customer perspective, transactions have seen a £50 higher average value compared to website averages

Over a six-week period, Peak’s AI platform scrutinized Boden’s historic pricing and customer spending habits to pinpoint where the retailer could adjust to increase sales.

Implemented alongside the retailer’s planned sale moments — the brand uses markdown to clear seasonal lines through which it typically clears 10% of its stock —pricing recommendations resulted in margin gains and directly impacted profitability.

The intention is for Boden to adopt Peak’s AI platform more broadly as a key part of its integrated tech stack, optimizing broader merchandising decisions as the landscape continues to shift for retailers.

Peak is used by global industry leaders, including Nike, Molson Coors, Marshalls and Eurocell. Its AI products optimize inventories and pricing using predictive AI methods, such as machine learning algorithms and statistical models, to forecast trends, patterns and predictions from each business’ unique data set. Co:Driver applies an LLM-powered assistive interface to a business’ predictive AI outputs to speed up decision making, highlight opportunities and automate routine tasks.

AI agents achieve human-set goals by interacting with their environment to collect data, which is then used to perform pre-determined tasks. Using rational decision making, AI agents independently choose the best actions to perform to achieve optimal performance. Co:Driver uses such agentic workflows to continually surface business-specific, actionable recommendations and allows users to interrogate their business data, analyze and better understand their AI using natural language question-answer capabilities.

Co:Driver has three core functionalities centered on product support, data exploration and explainability of AI-generated outputs.

Facilitating AI upskilling

Users can ask Co:Driver questions in natural language about how to use Peak’s AI platform. As Co:Driver has been trained on Peak’s user guides and onboarding documents, users will receive specific instructions on how to carry out the requested task. With this conversational in-platform user support, Co:Driver users receive an enhanced user experience and are supported in their development of AI skills.

Increasing AI-driven decision making

Co:Driver empowers users to ask questions of their data to surface insights that would previously take hours of manual interpretation or be missed entirely. For example, ‘what’s the average lead time on SKU567?’ or ‘what are my top 10 understocked SKUs in Germany?’. With this capability, businesses can understand their critical areas of focus, enabling them to make decisions that will move the needle on their business objectives.

The next release of Co:Driver will further enhance decision-making by continuously searching for information, efficiencies and anomalies of potential interest to the user, which are surfaced as bite-sized recommendations, with the user then able to choose their preferred next step from a number of AI-generated actions. 

Enhancing explainability and trust

In Co:Driver’s conversational interface, users can ask questions to more clearly understand why a prediction has been made, such as ‘why is SKU9174 priced at $1.50 per unit?’. Co:Driver then provides the user with an explanation detailing the calculations or parameters that have led to the prediction. 

Helping team members to understand and trust the results of AI should be a priority for business leaders as it naturally supports adoption of AI, in turn resulting in a virtuous cycle, where teams make more AI-powered decisions, see the positive outcomes that come from them and free up time to focus on strategic or creative tasks.