UiPath’s Next Chapter in Retail: From Peak’s AI Heritage to Agentic Merchandising at Scale

Why It Matters

By turning AI insights into automated actions, retailers can capture fleeting demand signals, protect margins and free merchandising teams for strategic work, giving them a decisive competitive edge in an increasingly fast‑moving market.

Key Takeaways

• UiPath acquired Peak in March 2025 to add retail AI expertise
• Agentic AI links prediction, decision, and execution in real time
• Retailers report margin uplift and reduced excess inventory using AI
• Continuous merchandising replaces reactive cycles, improving speed and accuracy
• UiPath will demo the solution at London Retail Tech Show, April 22‑23

Pulse Analysis

Retailers today juggle volatile consumer demand, thin margins and fragmented data sources, forcing many merchandising teams to rely on spreadsheets and manual processes. The legacy approach creates latency: price changes, promotions and inventory moves are often implemented days after the underlying signal emerges, eroding profit potential. Peak, founded in Manchester and Jaipur, spent the past decade refining AI models that forecast demand at the SKU‑store level and recommend optimal pricing, markdowns and stock allocations. Its track record with brands like Nike and The Body Shop demonstrated that algorithmic insights can lift margins and reduce waste, but execution still required human intervention.

UiPath’s integration of Peak’s models into its enterprise‑wide automation platform introduces what the vendor calls "agentic AI" – a closed‑loop system where predictions trigger robotic process automation to adjust prices, launch promotions or re‑balance inventory instantly. This continuous decision‑making eliminates the lag between insight and action, aligning pricing, promotion and stock decisions around shared commercial goals such as sell‑through and availability. Early pilots show retailers achieving double‑digit margin improvements, up to 15% reductions in excess inventory, and cutting decision‑making time from weeks to minutes. By automating routine analytical tasks, merchandising teams can focus on strategy, creativity and customer experience.

The move positions UiPath as a heavyweight in the retail AI arena, leveraging its global RPA footprint to scale agentic solutions across thousands of stores worldwide. The upcoming demo at the Retail Technology Show will let industry leaders see the end‑to‑end workflow—from demand forecasting to real‑time price updates—live on the shop floor. As retail cycles accelerate, the ability to act on AI‑driven recommendations instantly will become a critical differentiator, and UiPath’s combined offering may set the standard for next‑generation merchandising automation.