RTS 2026 highlights
Couldn’t join us in London, or want a quick recap of the show? Watch our event highlights video featuring moments from the invent.ai stand, key conversations with retail leaders.
Reinventing Retail at the Retail Technology Show 2026
Retail Technology Show 2026 highlighted a clear shift in how retailers approach planning and decision-making. As volatility, complexity and customer expectations continue to increase, retailers are moving beyond static forecasts and disconnected planning processes toward AI-powered systems capable of making coordinated decisions across the business.
Over two days at ExCeL London, the invent.ai team connected with retailers exploring new approaches to inventory planning, merchandising and pricing. Conversations consistently focused on how AI can help organizations respond faster to changing demand while maintaining control, transparency and business alignment.
Trusted by leading retailers
Special workshop on the Blue Stage
Feb 25 ⎜3:00 PM
How multi-agentic AI redefines retail decision-making
Join our SVP of Products, Ozgur Sivirkaya, as he walks through how autonomous agents drive coordinated decisions across channels, helping retailers boost availability, reduce overstocks and react to demand shifts with precision.
Blue Stage
Ozgur Sivrikaya
SVP of Products
Tech Talk highlights: Boots' journey to AI-powered forecasting and inventory optimization
A standout moment of the event was the Tech Talk session featuring the supply chain leadership team from Boots UK alongside invent.ai.
The session explored how Boots successfully phased the implementation of AI across a complex retail network and shared practical lessons from the transformation journey.
Key takeaways included:
- The importance of phased adoption to drive organizational alignment and measurable results.
- How AI-enabled forecasting and replenishment improved inventory visibility across stores and distribution centers.
- Strategies for replacing legacy planning processes while maintaining business continuity.
- Lessons learned when scaling AI across large retail operations.
