Data AnalysisVerified

Reviewed and published by trentmaziarz, May 11, 2026. Discovered and drafted by our automated research pipeline.

P&G uses an internal AI system called the Perfume Development Digital Suite to help its R&D scientists design new fragrances up to five times faster than was previously possible. The system analyzes millions of data points and builds predictive models of what scent profiles consumers will find appealing. P&G's Chief R&D Officer confirmed this practice on P&G's official blog in December 2024.

Details

The suite includes a digital library of scent profiles and molecular data, AI algorithms that analyze millions of data points to build 'perfume character models' based on consumer insights, and bio-olfactive models that refine predicted formulations. The model identifies likely winning fragrance formulations that are then validated through laboratory fast prototyping. P&G's official blog, authored by Chief R&D Officer Victor Aguilar, confirmed the suite enables creation of 'irresistibly superior fragrances' and that it brings new fragrance offerings to market 'more quickly.'

Products affected

Perfume Development Digital Suite

Sources & Evidence

News Article

How Procter & Gamble Uses AI to Unlock New Insights From Data

MIT Sloan Management Review·Dec 2025

https://sloanreview.mit.edu/article/how-procter-gamble-uses-ai-to-unlock-new-insights-from-data/

Company Disclosure

The Science Behind Superior Products: From Insight to Innovation

P&G Official Blog·Dec 2024

https://us.pg.com/blogs/science-behind-superior-products/

Cite this record

Trace Foundation. (2026). Procter & Gamble: P&G uses an internal AI system called the Perfume Development Digital Suite to help its R&D scientists design new fragrances up to five times faster than was previously possible. The system analyzes millions of data points and builds predictive models of what scent profiles consumers will find appealing. P&G's Chief R&D Officer confirmed this practice on P&G's official blog in December 2024 (data as of 2026-05-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/d94808c0-514a-4399-801d-06bd921b04a0. Accessed October 4, 2026.

Stable link: https://www.aitrace.org/r/practice/d94808c0-514a-4399-801d-06bd921b04a0
Data as of: May 11, 2026
Last verified: Not recorded

How to cite AI Trace

Other practices by Procter & Gamble

Data AnalysisP&G uses an AI-powered analytics platform built with KNIME and partner phData that automatically integrates data from across its supply chain — covering 5,000 products and 22,000 components — to generate real-time demand forecasts and supply projections, replacing a process that previously required hundreds of hours of manual data work by experts from five divisions.ProductivityP&G deployed an internal suite of generative AI tools — chatPG, askPG, and imagePG — that employees use daily for tasks including drafting text, querying internal documents, and generating and analyzing images for advertising. The suite launched company-wide in late 2023 and had reached more than 30,000 users as of late 2024.OtherP&G deployed AI systems across its global manufacturing plants — in partnership with Microsoft Azure — that use sensors on production equipment to continuously monitor machine health, predict equipment failures before they happen, and inspect every product coming off the line in real time using cameras and sensor readings rather than batch sampling. A pilot at P&G's Berlin Gillette factory has enabled a fully unattended night shift.

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