Rudy Lai

AI @ Procter & Gamble

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

Summary

  • Procter & Gamble (P&G) has steadily increased its adoption of AI from exploratory stages in 2017 to enterprise-wide integration by 2025, including advanced generative and agentic AI models embedded throughout operations.
  • Key leadership such as CEO Moeller and executives like Jeff Kent have prioritized AI for production digitalization, supply chain optimization, and consumer insights, resulting in improved operational efficiency and enhanced employee productivity.
  • By 2025, P&G employs AI to reduce model deployment times by up to 90%, boost team productivity by 12% with generative AI, and uses agentic AI for autonomous intelligence across brand management, logistics, and manufacturing, driving both cost reductions and revenue growth.

VIBE METER

More AI announcements = more VIBE
Q1 23Q2 23Q3 23Q4 23Q1 24Q2 24Q3 24Q4 24Q1 25Q2 25Q3 25Q4 25🔥🔥🔥🔥

5 AI Use Cases at Procter & Gamble

Autonomous Operations
2025
Traditional
Generative
Agentic
Outcome
Costs
P&G employs agentic AI systems that autonomously manage brand logistics, manufacturing workflows, and model deployments, enabling faster, scalable decision-making with minimal human intervention. [1][2]
Team Collaboration
2025
Traditional
Generative
Agentic
Outcome
Revenue
Generative AI tools help P&G employee teams collaborate more effectively by automating routine tasks, generating new ideas, and speeding up communication workflows, resulting in increased innovation. [1][2]
Demand Forecasting
2025
Traditional
Generative
Agentic
Outcome
Costs
P&G utilizes AI algorithms to analyze historical sales data, market trends, and external factors to accurately predict consumer demand, optimizing inventory levels and production planning. [1][2]
Consumer Insights
2024
Traditional
Generative
Agentic
Outcome
AI-based tools at P&G analyze vast amounts of consumer data to generate actionable insights, enabling better-targeted marketing campaigns and product development decisions. [1][2]
Production Automation
2023
Traditional
Generative
Agentic
Outcome
Costs
P&G integrates AI and machine learning into production lines to automate processes, monitor product quality in real time, and reduce waste, enhancing manufacturing efficiency. [1][2]

Timeline

2025 Q4: no updates

2025 Q3

3 updates

P&G advances agentic AI adoption, embedding autonomous intelligence across brand management, logistics, manufacturing pipelines, and reducing AI model deployment time by up to 90%.

2025 Q2

2 updates

Harvard study shows generative AI enables CPG teams at P&G to work 12% faster, enhancing collaboration and innovation, while AI integration improves employee experience.

2025 Q1

3 updates

AI applied to supply chain creates efficiencies in demand forecasting, production quality monitoring, and inventory management, reinforcing cost savings and product consistency.

2024 Q4

4 updates

P&G significantly advances AI and automation to enhance operations including analytics, customer insights, and digital transformation capabilities supporting business growth.

2024 Q3

1 updates

CEO Moeller articulates AI's role in future strategy, with external analysis noting AI adoption as growth and employment positive rather than destructive.

2024 Q2: no updates

2024 Q1

2 updates

P&G focuses on scaling AI initiatives emphasizing business purpose articulation, organizational AI skill-building, and AI governance for sustainable growth.

2023 Q4

1 updates

P&G rolls out an internal generative AI model with enhanced IP safeguards, signaling a strategic move to custom AI solutions tailored for proprietary business needs.

2023 Q3

1 updates

A case study underscores AI's transformative role in P&G's global operations, particularly in production digitalization and process efficiencies.

2023 Q2

1 updates

Jeff Kent highlights AI and machine learning as fundamental to production digitalization, advancing automation and quality controls in manufacturing.

2023 Q1

1 updates

P&G exhibits commitment to data-driven insights powered by AI to enhance consumer experience and drive business growth, as seen at CES 2023 discussions.

2022 Q4: no updates

2022 Q3: no updates

2022 Q2

1 updates

P&G's AI strategy framed around four pillars—data, talent, platforms, and trust—highlighted by their AI chief, focusing on scaling AI enterprise-wide.

2022 Q1

1 updates

Public statements from P&G emphasize a focus on leveraging machine learning and AI pervasively across capabilities, marking over five years of investment and deployment efforts.

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

Initial exploration of AI technologies shared publicly by P&G, highlighting early interest in machine learning and AI applications alongside peers like American Express.