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Peak, a UiPath company, introduces a suite of Agentic AI tools capable of autonomously predicting scenarios and executing actions to optimise operational efficiency across retail and manufacturing sectors, marking a significant shift from traditional AI systems.
Peak, a UiPath company, has unveiled its new suite of Agentic AI solutions designed to transform operational efficiency in retail and manufacturing sectors by autonomously making decisions and taking actions within complex business environments. This move marks a significant advancement from traditional AI systems that usually provide recommendations, as Peak’s Agentic AI actively predicts scenarios and executes pre-defined operations to address challenges such as supply chain complexities, fluctuating demand, and volatile commercial conditions.
The suite comprises three main components: Agentic Merchandising, Agentic Inventory Management, and Agentic Commercial Pricing. Each solution targets specific operational areas to optimise performance. For instance, Agentic Inventory Management is currently deployed at Hain Celestial, a company well-known for brands like Ella’s Kitchen and Hartley’s. By harnessing predictive planning and trade-off analysis, this tool aims to enhance procurement, production, and fulfilment processes. James Cranfield, Vice President of International Supply Chain at Hain Celestial, noted that the partnership with Peak is helping build a smarter, more resilient supply chain by better anticipating demand volatility, reducing inefficiencies, and ensuring product availability for consumers.
In the service sector, Speedy Hire is leveraging Agentic Commercial Pricing to improve its pricing strategies. This AI-driven solution learns from historical bid data to optimise list pricing and real-time quotes, thereby aiming to boost deal conversion rates and win rates. George Foster-Jones, Commercial Finance Director at Speedy, highlighted that advances in agentic AI enable their teams to optimise pricing decisions continuously, ensuring customers receive competitive offers while maintaining margin integrity in unpredictable market conditions.
Beyond these targeted applications, Peak’s Agentic Merchandising solution seeks to streamline retail operations by automating supplier coordination, distribution, marketing, and markdown strategies. By reducing manual efforts and aligning objectives like revenue, margin, and inventory management, retail teams can respond more swiftly to market dynamics, ensuring operational agility.
Peak’s initiative comes on the heels of its acquisition by UiPath earlier in 2025, distinctly enhancing UiPath’s portfolio in agentic automation. This acquisition aims to integrate Peak’s AI applications with UiPath’s existing offerings, reinforcing its vertical AI solutions strategy focused on optimising inventory and pricing decisions. According to industry reports, UiPath’s move aligns with broader trends in artificial intelligence, where major technology players like Amazon’s AWS are also investing heavily in agentic AI capabilities aimed at enabling systems to autonomously perform tasks without user prompts.
The agentic AI paradigm itself represents a deeper shift in how businesses can manage complexity and rapid change. Unlike passive AI that provides insights post-analysis, agentic AI acts proactively—predicting outcomes and orchestrating decisions to optimise business outcomes in real-time. Peak has already ventured into such capabilities with the release of Co:Driver in 2024, an agentic AI assistant blending large language models with business data to enhance productivity and explainability of AI outputs.
This suite of agentic AI tools reflects a growing trend where AI is not only supportive but decisively operational in business environments. As demonstrated by companies ranging from Hain Celestial and Speedy Hire to global brands like Nike and The Body Shop, the integration of agentic AI into commercial functions may soon become essential for companies aiming to thrive amid volatile supply chains, shifting consumer demands, and competitive pricing pressures.
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Source: Noah Wire Services