AI Usage at a Glance
Jan 1, 2022
Data AnalysisPractice documented: P&G deployed an IoT and predictive analytics system on Pampers diaper production lines that monitors real-time sensor data from glue stream equipment and predicts manufacturing failures hours in advance, enabling technicians to intervene before defective diapers are produced. The system was rolled out to approximately half of P&G's US Pampers manufacturing plants after a pilot.
Practice DocumentedView practice →Aug 1, 2022
Data AnalysisNew evidence: P&G turns to AI to create digital manufacturing of the future
Evidence AddedView practice →Jan 10, 2024
ProductivityPractice documented: P&G deployed an internal generative AI tool called ChatPG that functions as a company-wide productivity assistant for employees across departments, reaching 30,000 users within a short period of its launch and becoming part of standard employee onboarding. ChatPG supports tasks such as drafting, analysis, and information retrieval across the business.
Practice DocumentedView practice →Nov 21, 2024
RecommendationPractice documented: P&G offers parents a consumer-facing feature called Pampers My Perfect Fit, embedded in the Pampers Club mobile app, that asks parents questions about their baby's weight, height, and diaper fit details and then uses an AI algorithm to recommend the correct diaper size, achieving 90% accuracy in preventing leaks. The tool is available on an opt-in basis in the US, Canada, Germany, France, UK, Spain, and Japan.
Practice DocumentedView practice →Jan 10, 2025
RecommendationNew evidence: P&G's AI Factory Scaling Data Science Innovations
Evidence AddedView practice →Jan 10, 2025
RecommendationNew evidence: P&G Taps into AI and Automation for Faster, Smarter Operations
Evidence AddedView practice →Mar 13, 2025
RecommendationNew evidence: P&G on using AI to deliver 'best possible value' from ad spend
Evidence AddedView practice →Aug 7, 2025
RecommendationNew evidence: Procter & Gamble Uses AI Agents: 10 Ways to Use AI [In-Depth Analysis] [2025]
Evidence AddedView practice →Dec 17, 2025
RecommendationNew evidence: How Procter & Gamble Uses AI to Unlock New Insights From Data
Evidence AddedView practice →Jan 25, 2026
RecommendationNew evidence: P&G's Data-AI Arsenal Conquers Media Chaos
Evidence AddedView practice →Jan 26, 2026
RecommendationNew evidence: P&G's "AI Factory" Playbook: How to Turn AI Into a Repeatable Business Capability
Evidence AddedView practice →Jan 26, 2026
ProductivityNew evidence: P&G's "AI Factory" Playbook: How to Turn AI Into a Repeatable Business Capability
Evidence AddedView practice →P&G deployed an IoT and predictive analytics system on Pampers diaper production lines that monitors real-time sensor data from glue stream equipment and predicts manufacturing failures hours in advance, enabling technicians to intervene before defective diapers are produced. The system was rolled out to approximately half of P&G's US Pampers manufacturing plants after a pilot.
P&G worked with Microsoft to deploy an IoT and edge analytics platform — using Azure IoT Hub, IoT Edge, sensors embedded in assembly line equipment, and a rules-based AI engine — to monitor the temperature and pressure of 40 hot glue streams critical to the Pampers manufacturing process. The AI engine continuously tests incoming sensor data against manufacturing specifications and can flag impending failures six to eight hours before they would occur, allowing preventive maintenance without stopping the line. The platform was pilot-tested for nine months at one plant and then rolled out to approximately half of P&G's US Pampers manufacturing plants. CIO.com (2022, updated 2025) confirmed P&G estimates the system eliminated 70% of flawed diapers that previously had to be scrapped, representing savings in the seven-figure weekly range. P&G's IT Senior Director of Global Baby Care Services confirmed the project was planned in late 2021.
P&G deployed an internal generative AI tool called ChatPG that functions as a company-wide productivity assistant for employees across departments, reaching 30,000 users within a short period of its launch and becoming part of standard employee onboarding. ChatPG supports tasks such as drafting, analysis, and information retrieval across the business.
ChatPG is P&G's internally built generative AI platform, designed to be model-agnostic so P&G can switch between underlying AI models as needed. Consumer Goods Technology confirmed in early 2024 reporting that ChatPG had reached 30,000 users across P&G's roughly 107,000-person global workforce and was scaling companywide within two to three months of initial launch. The Mill5 analysis (January 2026, based on MIT Sloan Management Review reporting) lists ChatPG as one of four proprietary internal generative AI platforms P&G operates, alongside askPG, imagePG, and insightsPG. ChatPG serves as a broad productivity tool for employees, not a consumer-facing product.
P&G offers parents a consumer-facing feature called Pampers My Perfect Fit, embedded in the Pampers Club mobile app, that asks parents questions about their baby's weight, height, and diaper fit details and then uses an AI algorithm to recommend the correct diaper size, achieving 90% accuracy in preventing leaks. The tool is available on an opt-in basis in the US, Canada, Germany, France, UK, Spain, and Japan.
Pampers My Perfect Fit is built using P&G's proprietary AI Factory platform, which the company launched around 2021 to standardize and accelerate machine learning model development and deployment. Parents opt in by entering their baby's date of birth, weight, height, and current diaper fit details; the algorithm processes these inputs and returns a recommended diaper size. P&G's CIO confirmed the tool publicly on the P&G official blog, and P&G's VP of Enterprise Data Science cited it as a flagship AI Factory use case in a December 2025 MIT Sloan Management Review interview. A secondary source (Consumer Goods Technology, January 2025) confirmed markets including US, Canada, Germany, France, UK, Spain, and Japan.
Have evidence about Pampers's AI practices? Submit a report.
Submit a report →AI Trace is free and nonprofit. Support our work