How much did Shiseido reduce search time?

The AI agent reduced search time by 95% and increased proposed ingredient candidates from 20-50.

What technology powers the AI agent?

It uses techniques like HyDE, Hybrid RAG, and multiple LLMs to recreate researchers' judgment.

Large Language ModelsAI Business & IndustryITmedia AI＋Sep 18, 2026Sep 18, 2026, 10:01 JST

Shiseido Japan uses AI to cut ingredient discovery time by 95%

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3 Key Points

What happened
Shiseido Japan's AI agent for ingredient discovery cut search time by 95% and increased proposed ingredient candidates from 20-50, using three techniques including multiple LLMs.
Why it matters
The agent recreates researchers' judgment, potentially reducing reliance on individual experience and enabling faster discovery of promising ingredients.
What to watch
The success hinges on whether the agent's proposals lead to actual product development, and watch for further integration with Gemini Enterprise.

WHO IT HITSThis directly affects R&D teams in cosmetics and pharmaceuticals who spend significant time screening ingredients, potentially allowing them to focus on higher-value tasks.

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Context & Analysis

Shiseido Japan's move reflects a broader push to integrate AI into R&D. The company established an AI transformation framework in March 2026, involving 130 ambassadors to drive adoption. The ingredient discovery agent, built with Google Cloud's Gemini Enterprise, exemplifies how specialized AI can augment expert work. While the 95% time reduction is significant, the ultimate test is whether this translates into innovative products. The company's emphasis on recreating human judgment suggests a focus on quality, not just speed.

FAQ

How much did Shiseido reduce search time?: The AI agent reduced search time by 95% and increased proposed ingredient candidates from 20-50.
What technology powers the AI agent?: It uses techniques like HyDE, Hybrid RAG, and multiple LLMs to recreate researchers' judgment.

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