Peak launches agentic AI to turn retail and manufacturing decisions into action
Manchester, UK; 1 October, 2025 - Peak, a UiPath company, has launched a new agentic AI suite featuring three solutions: Agentic Merchandising, Agentic Inventory Management, and Agentic Commercial Pricing. Rollouts are underway with brands including Hain Celestial and Speedy Hire.
Unlike tools that only surface dashboards or recommendations, Peak's approach lets AI agents predict, decide, and act in live environments. The aim is straightforward: fewer manual steps, faster cycles, and measurable outcomes across retail and manufacturing.
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."
What's different about agentic AI
Agents don't just analyze-they act. They learn from results, adjust decisions, and automate routine execution across systems. For teams, this means clearer targets, fewer handoffs, and tighter feedback loops.
Agentic Merchandising: efficiency and agility for retail teams
Agentic Merchandising optimizes the full merchandising lifecycle, from supplier to distribution center to store. It improves product lifecycle management across buying, pricing, promotions, allocation, and markdown.
- Balance revenue, margin, and inventory goals automatically
- Trigger price, promo, and allocation actions with less manual work
- Respond to trends faster with always-on recommendations and execution
Agentic Inventory Management: building resilient supply chains
Agentic Inventory Management continuously improves procurement, production, and fulfillment decisions. It uses predictive planning and intelligent trade-offs to maintain service levels while cutting waste.
- Forecast, plan, and reorder with agent-led decisions
- Balance service, working capital, and capacity constraints
- Coordinate procurement and production with demand signals
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 list prices, catalog optimization, real-time quotes, and bid writing/response. It learns from the strongest bids and sharpens price strategy to improve conversion, deal velocity, and win rates.
- Set and optimize prices across the quote-to-cash process
- Generate and refine bids using past wins and market feedback
- Protect margins while moving faster on deals
George Foster-Jones, Commercial Finance Director at Speedy, 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 specialised 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."
Why it matters for IT, data, and product teams
- Integrates with core systems (ERP, WMS, OMS, CRM) to execute decisions end-to-end
- Policy, approval workflows, and audit trails to maintain governance
- Real-time monitoring, A/B tests, and KPI tracking for measurable impact
- Data readiness, MDM, and change management embedded in rollout plans
How to get started
- Identify high-impact decisions (pricing, allocation, replenishment, scheduling)
- Connect data sources and define guardrails and approval thresholds
- Pilot in one business unit with clear success metrics
- Scale by codifying playbooks and expanding integrations
Learn more about UiPath's automation ecosystem at uipath.com.
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