An automated retail inventory system operating in a Tokyo supermarket.
Fujitsu is positioning its Uvance “agentic AI” offering as a way to automate routine decisions inside Japan’s retail supply chain, where labor constraints are reshaping store operations. Rather than acting as a chat interface, the agents are designed to run monitoring and adjustment loops tied to inventory and replenishment.
What the system does on the floor
Fujitsu says the agents (including Watomo) can track stock levels and related supply signals, then propose or execute replenishment changes as conditions shift. The operational goal is to reduce the time between a demand change and a response.
Why Tokyo retailers are paying attention
With staffing pressures and tighter margins, continuous inventory decisions can be hard to sustain through manual cycles. Agent-led monitoring aims to offload repetitive planning work while keeping store availability stable.
What to watch next
If deployments scale, the main question is governance: how exceptions are handled, who approves automated changes, and how performance is measured across locations.
