AI @ Procter & Gamble
Summary
- Procter & Gamble (P&G) has demonstrated a strong and steadily increasing adoption of AI and machine learning technologies from exploratory phases in 2017 to widespread enterprise integration by 2025, with significant contributions from key executives including Jeff Kent and CEO Jon Moeller.
- AI applications at P&G have evolved from early investment in machine learning to deploying proprietary generative AI models internally, optimizing supply chain management, accelerating product development by 22%, and automating operations across manufacturing, logistics, and consumer insights to reduce out-of-stock rates by 15%.
- Recent developments in 2025 show P&G advancing agentic AI capabilities that act as autonomous 'cybernetic teammates', improving employee collaboration and innovation speed by 12%, thus substantially enhancing operational efficiency and consumer experience while maintaining growth without major job losses.
VIBE METER
5 AI Use Cases at Procter & Gamble
Product Development2025
Operations Automation2025
Workforce Productivity2025
Supply Chain2025
Timeline
2025 Q4
P&Gās innovative experiment reveals AI as a 'cybernetic teammate' that matches human creativity and collaboration quality, reshaping work dynamics.
2025 Q3
P&G reduces product development times by 22%, accelerates AI model deployment by up to 90%, and embeds agentic AI across brand, logistics, and manufacturing.
2025 Q2
Gen AI adoption at P&G improves team productivity by 12%, reduces out-of-stock rates by 15%, and enhances collaboration and employee engagement.
2025 Q1
Studies and implementations show AI enables individual employees to perform at team levels and optimize supply chains including quality control.
2024 Q4
P&G expands AI and automation to accelerate operations, improve consumer insights and enhance employee efficiency significantly.
2024 Q3
CEO Jon Moeller discusses AI plans, with Goldman Sachs forecasting generative AI to boost employment and not cause large job losses at P&G.
2024 Q2: no updates
2024 Q1
P&G focuses on scaling AI with clear business purpose articulation, AI fluency development, and standardized processes.
2023 Q4
Launch of internal generative AI model tailored for P&G's intellectual property protection and operational needs.
2023 Q3
AI described as transforming P&G's global operations with deep integration in production processes.
2023 Q2
Jeff Kent underscores AI and machine learning as core to production digitalization at P&G.
2023 Q1
P&G highlights AI powering data-driven consumer insights to enhance customer delight and business outcomes.
2022 Q4: no updates
2022 Q3: no updates
2022 Q2
Focus on scaling AI enterprise-wide driven by pillars of data, talent, platforms, and trust emphasized by P&G chief data officers.
2022 Q1
P&G's AI and machine learning investment surpasses five years, augmenting capabilities across business functions.
2021 Q4: no updates
2021 Q3: no updates
2021 Q2: no updates
2021 Q1: no updates
2020 Q4: no updates
2020 Q3: no updates
2020 Q2: no updates
2020 Q1: no updates
2019 Q4: no updates
2019 Q3: no updates
2019 Q2: no updates
2019 Q1: no updates
2018 Q4: no updates
2018 Q3: no updates
2018 Q2: no updates
2018 Q1: no updates
2017 Q4: no updates
2017 Q3: no updates
2017 Q2: no updates
2017 Q1
Early AI exploration at P&G alongside peers like American Express, laying foundational understanding of AI potential.