Rudy Lai
黎
卓
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AI @ Procter & Gamble

Household and personal care products
Industry
Last updated
July 3, 2025 at 10:44 AM

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

More AI announcements = more VIBE
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5 AI Use Cases at Procter & Gamble

Product Development
2025
Traditional
Generative
Agentic
Outcome
Revenue
AI accelerates P&G's product development cycles by automating research analysis and testing processes, reducing time-to-market by 22%. [1]
Operations Automation
2025
Traditional
Generative
Agentic
Outcome
Costs
P&G integrates agentic AI to autonomously manage manufacturing, logistics, and brand operations, improving efficiency and reducing operational deployment time by up to 90%. [1][2]
Workforce Productivity
2025
Traditional
Generative
Agentic
Outcome
Through AI augmentation and generative tools, P&G has enhanced employee collaboration, creativity, and task efficiency, with studies showing 12% faster team output. [1][2]
Supply Chain
2025
Traditional
Generative
Agentic
Outcome
Costs
The company uses AI-driven demand forecasting, inventory management, and quality monitoring to optimize its supply chain, reduce waste, and ensure product availability. [1][2]
Consumer Insights
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
P&G applies AI to analyze large datasets for refined consumer behavior insights, enabling better product market-fit and increasing customer satisfaction. [1][2]

Timeline

2025 Q4

1 updates

P&G’s innovative experiment reveals AI as a 'cybernetic teammate' that matches human creativity and collaboration quality, reshaping work dynamics.

2025 Q3

1 updates

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

1 updates

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

1 updates

Studies and implementations show AI enables individual employees to perform at team levels and optimize supply chains including quality control.

2024 Q4

1 updates

P&G expands AI and automation to accelerate operations, improve consumer insights and enhance employee efficiency significantly.

2024 Q3

1 updates

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

1 updates

P&G focuses on scaling AI with clear business purpose articulation, AI fluency development, and standardized processes.

2023 Q4

1 updates

Launch of internal generative AI model tailored for P&G's intellectual property protection and operational needs.

2023 Q3

1 updates

AI described as transforming P&G's global operations with deep integration in production processes.

2023 Q2

1 updates

Jeff Kent underscores AI and machine learning as core to production digitalization at P&G.

2023 Q1

1 updates

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

1 updates

Focus on scaling AI enterprise-wide driven by pillars of data, talent, platforms, and trust emphasized by P&G chief data officers.

2022 Q1

1 updates

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

1 updates

Early AI exploration at P&G alongside peers like American Express, laying foundational understanding of AI potential.