Kao has built an AI agent to forecast demand for its KATE cosmetics.
The system predicts sales up to 18 months ahead.
This aims to improve planning and reduce waste.
What happened
Kao has developed an AI agent for demand forecasting that predicts sales of its KATE brand up to 18 months in advance.
Why it matters
The AI agent is designed to improve the accuracy of sales predictions, which could help Kao optimize production and inventory, reducing waste and costs.
What to watch
How effectively the AI agent performs in real-world forecasting and whether Kao expands its use to other brands or product categories.
Ask the AI about this article →
Kao's development of a demand-forecasting AI agent reflects a broader trend among consumer goods companies to use AI for better supply chain planning. By predicting sales of KATE 18 months ahead, Kao aims to align production with expected demand, potentially reducing overproduction and stockouts. The tool's success could encourage similar initiatives across Kao's other brands, though the article does not confirm such plans.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Israeli startup DataAgent Ltd
SK Hynix presented a custom HBM concept at SEMICON Taiwan 2026, where compute functions are placed in the base…
Taoyuan is positioning itself as a northern hub for AI data centers (AIDC), citing the Tatan area and an LNG c…
The U.S. Department of Defense announced on August 31 that it has deployed ChatGPT Mil, a customized version o…
Nvidia reported earnings that were both remarkable and boring, reflecting its focus on avoiding a consolidated…
Anthropic has agreed to a $35bn cloud-computing contract with Lambda, a Nvidia-backed cloud provider
