The Very Group Partners with UiPath for AI-Powered Pricing

The partnership also underscores the growing importance of explainable AI in commercial settings, where stakeholders require transparency in automated decisions. By embedding scenario-based optimization, the system aims to reduce risks associated with dynamic pricing while maintaining profitability ◉ trendhunter.com · 6.

What to Watch

Key checkpoints include the platform’s rollout timeline, its impact on The Very Group’s pricing agility, and UiPath’s ability to scale agentic AI solutions across enterprise clients. The success of this partnership could set a benchmark for AI adoption in retail, particularly in balancing automation with human oversight ◉ stockti.com · 5.

Partnership Duration and Strategic Implications

The three-year agreement between The Very Group and UiPath underscores a long-term commitment to embedding agentic AI into core retail operations. This timeframe aligns with UiPath’s strategic focus on enterprise agentic AI solutions, which the company positions as critical to achieving its $124M–$134M net new ARR target for H2 2027 ◉ stockti.com · 5. The partnership’s duration reflects confidence in the scalability of agentic AI to address complex pricing challenges across The Very Group’s portfolio of over 200,000 products, a scale highlighted as a key driver for adopting scenario-based optimization tools ◉ trendhunter.com · 6.

Catherine Frame of UiPath emphasized that the three-year framework allows for iterative refinement of AI-driven pricing strategies, ensuring alignment with evolving market dynamics. Sam Wright of The Very Group noted the partnership’s role in enabling “more informed decisions on pricing and merchandising” by leveraging UiPath’s automation capabilities alongside the retailer’s data assets ◉ retailtechinnovationhub.com · 1. This collaboration aims to balance rapid deployment with sustained innovation, positioning agentic AI as a foundational element of The Very Group’s commercial strategy through 2027.

The extended timeline also signals a shift toward AI systems that prioritize transparency and adaptability. By integrating explainable decision-making into pricing workflows, the partnership addresses concerns about automated systems lacking accountability—a challenge cited as a barrier to broader AI adoption in retail ◉ trendhunter.com · 6. As the rollout progresses, the three-year framework will serve as a benchmark for measuring the financial and operational impact of agentic AI on pricing agility, margin optimization, and competitive responsiveness.