AI Usage at a Glance
Timeline
Jan 1, 2022
OtherPractice documented: P&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.
Practice DocumentedView practice →Jun 8, 2022
OtherNew evidence: P&G and Microsoft co-innovate to build the future of digital manufacturing
Evidence AddedView practice →Feb 17, 2023
ProductivityPractice documented: P&G deployed an automated media-buying tool co-developed with retail partners, referred to as an 'auto-bidder,' that connects directly to retailer search programs and automatically adjusts P&G's ad bids and creative content as frequently as every 15 minutes to optimize advertising performance. P&G's Chief Brand Officer Marc Pritchard publicly described the system at the ANA Media Conference in 2023.
Practice DocumentedView practice →Aug 1, 2023
Data AnalysisPractice documented: P&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.
Practice DocumentedView practice →Oct 1, 2023
ProductivityPractice documented: P&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.
Practice DocumentedView practice →Jan 1, 2024
ProductivityNew evidence: P&G's ChatPG Generative AI Tool Scaling Across Business
Evidence AddedView practice →Jan 1, 2024
OtherNew evidence: Procter & Gamble cuts model deployment time up to 90% with Azure IoT Operations
Evidence AddedView practice →Feb 5, 2024
Data AnalysisNew evidence: Artificial Intelligence at Procter & Gamble
Evidence AddedView practice →Nov 21, 2024
Customer SvcPractice documented: P&G deployed an internal AI tool called Project Genie that helps more than 800 customer service representatives answer consumer questions faster by automatically searching and summarizing information from internal knowledge bases and help documents. Project Genie is a tool for human agents, not a consumer-facing chatbot.
Practice DocumentedView practice →Nov 21, 2024
ProductivityNew evidence: 3 Keys to Successful Digital Transformation
Evidence AddedView practice →Dec 10, 2024
Data AnalysisPractice documented: 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.
Practice DocumentedView practice →Dec 17, 2024
Customer SvcNew evidence: P&G's AI-Driven Approach to Consumer Insights
Evidence AddedView practice →Jan 1, 2025
OtherNew evidence: P&G Taps into AI and Automation for Faster, Smarter Operations
Evidence AddedView practice →Jan 1, 2025
Creative GenPractice documented: P&G uses an internal AI tool called the Great Idea Generator that takes consumer trend data, internal concept data, and external trend analysis as inputs and produces advertising and product concepts, reducing the time needed to develop a concept from weeks to minutes. P&G's CFO publicly described the tool at the CAGNY investor conference in February 2025.
Practice DocumentedView practice →Jan 1, 2025
Data AnalysisPractice documented: P&G uses an AI-powered shelf monitoring tool called RackSmart, developed with partner Impact Analytics, which uses mobile phone images and computer vision to automatically audit store shelves — identifying P&G product availability, detecting out-of-stocks, checking planogram compliance, and capturing competitor shelf data — and feeds results in real time to P&G merchandisers.
Practice DocumentedView practice →Feb 20, 2025
Creative GenNew evidence: P&G on using AI to deliver 'best possible value' from ad spend
Evidence AddedView practice →Feb 20, 2025
ProductivityNew evidence: P&G on using AI to deliver 'best possible value' from ad spend
Evidence AddedView practice →Dec 17, 2025
Data AnalysisNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Dec 17, 2025
Creative GenNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Dec 17, 2025
Customer SvcNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Dec 17, 2025
Data AnalysisNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Dec 17, 2025
ProductivityNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Dec 17, 2025
Data AnalysisPractice documented: P&G offers employees an internal tool called insightsPG that lets workers query the company's business data using plain conversational language, rather than navigating traditional dashboards. The tool was described as relatively new as of late 2025 and is designed to put advanced data analysis capabilities into the hands of a broader range of employees.
Practice DocumentedView practice →Recent activity
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.
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.'
P&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.
Before the KNIME solution, supply chain data integration required specialists from manufacturing, supply chain, marketing, quality assurance, and laboratory information systems to spend hundreds of hours manually gathering and verifying data. KNIME's own published case study confirms the new platform automatically merges these data sources to assess supply and demand impacts and provide risk mitigation guidance. The solution produces real-time demand forecasts, supply projection reports, and live analytical dashboards. P&G has publicly reported the system reduced supply chain inquiry response times from over two hours to near-immediate results.
P&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.
P&G's CIO Vittorio Cretella confirmed in October 2023 that chatPG was first tested in February 2023 and officially launched company-wide in September 2023, with 8,000 requests received within the first two hours. chatPG provides employees access to multiple large language models selectable by business need; askPG layers in curated internal unstructured company knowledge; and imagePG supports generation and analysis of images and videos, including for advertising workflows. All employees are required to complete a mandatory training and sign an acceptable-use policy before access is granted, with P&G emphasizing that accountability for any AI-generated content rests with the employee.
All practices by category
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.
P&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.
P&G uses an AI-powered shelf monitoring tool called RackSmart, developed with partner Impact Analytics, which uses mobile phone images and computer vision to automatically audit store shelves — identifying P&G product availability, detecting out-of-stocks, checking planogram compliance, and capturing competitor shelf data — and feeds results in real time to P&G merchandisers.
P&G offers employees an internal tool called insightsPG that lets workers query the company's business data using plain conversational language, rather than navigating traditional dashboards. The tool was described as relatively new as of late 2025 and is designed to put advanced data analysis capabilities into the hands of a broader range of employees.
P&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.
P&G deployed an automated media-buying tool co-developed with retail partners, referred to as an 'auto-bidder,' that connects directly to retailer search programs and automatically adjusts P&G's ad bids and creative content as frequently as every 15 minutes to optimize advertising performance. P&G's Chief Brand Officer Marc Pritchard publicly described the system at the ANA Media Conference in 2023.
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