Closing the
Execution Gap
Physical AI in Retail
An evening built
around what runs
Four live stations
Store intelligence, move & transport, robotics & digital twin, and computer vision, visited in small groups. Shipsy runs the move & transport station.
Operators, then providers
Retail leaders on where execution breaks down today, followed by the provider view from NVIDIA, GreyOrange, Shipsy and Miebach.
A case-picking robot, live
A full-size case-picking robot works a real picking cycle on the floor, with its business metrics on screen.
Planning got smart.
Execution did not
A decade of investment has made planning intelligent. Yet the moments that decide margin, service and trust are still physical: the shelf, the pick, the dock, the delivery.
That distance between what the enterprise knows and what the operation does is the execution gap. This evening is about seeing, live, how AI, computer vision and robotics close it.
You will be one of 25 executives, leaders who run the retail stores, warehouses and logistics networks of the UK's most recognised retail and consumer goods names.
Shipsy AgentFleet running a live delivery operation, with agents catching exceptions before they become failed deliveries
What is enterprise-grade today, and the path from first assessment to realised value
Harsh Kumar of Shipsy on panel two, on AI outcomes in retail operations and supply chain
Hosted by HCLTech, in partnership with NVIDIA, GreyOrange, Shipsy and Miebach