Fujitsu and AEON Food Style will begin a field trial of an AI agent in July 2026 to support store managers with strategy formulation and shelf layout planning. The trial, announced July 13, targets a chronic retail problem: critical store-management tasks that depend too heavily on individual experience and gut instinct, leaving chains exposed when people leave or move roles.
AEON Food Style was formed in March 2026 through the merger of three supermarket operators. The company faces labor shortages and increasingly fragmented consumer demands, and it wants AI to help managers make faster, more consistent decisions without relying on a few veteran staff.
Two AI agents put to the test
The trial will run for several days at a physical store. Two AI agents will be evaluated, both built to handle tasks where managers said they needed the most support.
The first agent tackles store strategy formulation. It runs a 3C's analysis - customers, competitors, company - and produces medium- to long-term strategic plans. Fujitsu will measure the reduction in time managers spend on strategy work, how often the AI-generated plans are adopted, and whether the tool helps standardize training for newly appointed managers.
The second agent handles shelf allocation and layout planning. It takes headquarters' display instructions, product data, and store-specific characteristics and turns them into detailed shelf plans and layout images. The trial will check whether the agent cuts the time from plan creation to execution and whether sharing layout images improves communication between managers and salesfloor staff.
Built in 10 days
Fujitsu's Forward Deployed Engineers and designers started by mapping the tasks that were common across the three merged companies' store operations. They then defined the ideal store manager profile for AEON Food Style and built a new operational process around it. Within 10 days, the team had four AI agent prototypes. The two moving to trial were chosen because managers identified them as the highest-priority pain points.
The project sits under Fujitsu's Uvance for Retail initiative, which uses data and AI to push for sustainable growth in the industry. The company plans to develop multi-agent systems where several AI agents collaborate to run store operations with less human oversight.
Next steps
After the trial, Fujitsu and AEON Food Style will work on improving the agents' accuracy and extending their scope. The companies also plan to test additional AI agents aimed at increasing sales. Fujitsu sees this as a step toward autonomous store operations where AI agents handle entire workflows, not just isolated tasks.
Why this matters for management
The trial signals a shift in what "store manager" means. AI agents are moving from running reports to drafting strategy and producing operational plans. For managers, the change is practical: less time building spreadsheets and more time adjusting AI-generated plans and coaching teams. The risk is that companies that don't build AI into management workflows will fall behind on both speed and consistency. For retail leaders, understanding how to collaborate with these tools is becoming a core skill, not an optional add-on. Resources like AI for Management and an AI Learning Path for Retail Managers can help managers build the judgment needed to work alongside these systems.
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