Kao developed an AI agent for demand planning.
It started using it in July for KATE.
The agent proposes plans; humans decide.
What happened
Kao has developed an AI agent called "Kao-MIKOMIL" to support demand planning, and started introducing it in July to its cosmetics brand KATE. The agent uses an in-house demand forecasting model and reflects sales promotion plans, sales channels, and pricing information to propose a demand plan with its rationale.
Why it matters
This initiative is part of Kao's effort to leverage data accumulated in its business activities for management decisions. Its key feature is that the AI presents a demand plan and its basis, while the business division makes the final judgment.
What to watch
Kao plans to roll out the AI agent to other cosmetics brands sequentially, following the initial introduction at KATE.
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Kao's development of the Kao-MIKOMIL agent marks a step in its broader effort to turn accumulated business data into management decisions. The agent's role is to generate a demand plan and explain its reasoning, but the final say rests with the business division—a design that keeps human control over AI output. By starting with KATE and later extending to other cosmetics brands, Kao appears to be testing the agent in one brand before scaling it, though the body does not specify a timeline for the rollout. The integration of sales promotion, channel, and pricing details suggests the company aims to make demand plans more responsive to business context, not just historical forecasts.
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