Rudy Lai

AI @ Colgate-Palmolive

Oral care, cleaning products
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Colgate-Palmolive has significantly escalated its AI adoption from basic analytics in 2019 to advanced generative and agentic AI applications by 2025, integrating AI deeply across R&D, product development, marketing, supply chain, and sustainability initiatives.
  • Key figures like CEO Noel Wallace and executives such as Greg Corra and Prabha Narasimhan have overseen strategic AI deployments including the use of generative AI chatbots for e-commerce, AI-powered predictive analytics for product scent innovation, and an AI-driven platform (Zya) in collaboration with Erthos to accelerate sustainable packaging development.
  • The company reports gains in operational efficiency, speed to market, innovation quality, and top-line growth, highlighting thousands of employees experiencing increased creativity and work quality, with focused AI use cases targeting revenue increases, cost reductions, improved customer experience, and risk mitigation.

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6 AI Use Cases at Colgate-Palmolive

Sustainable Packaging
2025
Traditional
Generative
Agentic
Outcome
Costs
In partnership with Erthos, Colgate-Palmolive utilizes Erthos' AI-powered Zya platform to streamline sustainable materials discovery, accelerating development of recyclable, reusable, or compostable packaging while reducing R&D costs and failure rates. [1][2]
Product Innovation
2025
Traditional
Generative
Agentic
Outcome
Revenue
Colgate-Palmolive uses generative AI and machine learning with retrieval-augmented generation and digital consumer twins to synthesize consumer insights rapidly, generate new product concepts, and test their potential at scale to accelerate the product development lifecycle. [1][2]
Demand Forecasting
2024
Traditional
Generative
Agentic
Outcome
Costs
Artificial intelligence and machine learning are foundational for accurate demand forecasting to optimize inventory and supply chain efficiency, now considered a standard operational practice at Colgate-Palmolive per CEO statements. [1]
Consumer Experience
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
AI-enhanced predictive analytics combined with user insight data are used to develop product scents that evoke specific moods like happiness or relaxation, improving customer experience through personalized product attributes. [1][2]
Marketing Optimization
2023
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
Generative AI tools are employed to enhance marketing efforts, including the creation of more effective and higher converting product detail pages through AI chatbots that analyze e-commerce data, and marketing amplification through AI 'gut-checking' methods. [1][2]
Decision Automation
2023
Traditional
Generative
Agentic
Outcome
Costs
Colgate-Palmolive applies decision intelligence platforms to automate complex decision-making processes, such as in Hill's Pet Nutrition division, improving speed and accuracy of operational decisions. [1]

Timeline

2026 Q1: no updates

2025 Q4

1 updates

Enterprise-wide AI adoption pushes beyond chatbots into agentic systems and internal AI platforms; marketing amplified by AI-driven insights and 'gut-checking' tools at Hello Products brand; establishment of formal AI policies and dual approaches to AI innovation combining top-down and bottom-up strategies.

2025 Q3

1 updates

Partnership with biomaterials innovator Erthos to deploy AI-powered Zya platform targeting sustainable packaging development, accelerating R&D, reducing trial failures, and supporting ambitious sustainability commitments to reduce virgin plastic and enhance recyclability.

2025 Q2

1 updates

Generative AI incorporated effectively in market research and product development; hosted within an AI Hub for responsible use and tracking to maximize value and ROI.

2025 Q1

1 updates

Full-cycle generative AI application for innovation, utilizing retrieval-augmented generation (RAG) and digital consumer twins enabling rapid, scalable product concept testing; comprehensive AI training for thousands of employees enhances creativity and work quality.

2024 Q4

1 updates

Continued AI adoption across business units with executive focus on AI's role in driving efficiency, premiumization strategy, and advertising spend contributing to 16% profit boost; CEO Prabha Narasimhan endorses AI/ML demand forecasting as integral business practice.

2024 Q3

1 updates

Successful integration of AI and predictive analytics for new product scent development at Palmolive Aroma Essence; AI model development in partnership with Glacier for supply chain innovation; CEO Noel Wallace announces AI focus on revenue management, advertising, and cost savings.

2024 Q2

1 updates

Scaling AI investments to support applications across 200 global markets, focusing resources on scalable AI use cases and employee training.

2024 Q1

1 updates

Expanded use of AI across the product development lifecycle using machine learning for consumer insights analysis and rapid iteration; larger commitment to generative AI among top CPGs.

2023 Q4: no updates

2023 Q3

1 updates

Pilot tests of generative AI chatbots improved product detail pages by efficiently gathering e-commerce analytics and content creation, involving platforms like Profitero.

2023 Q2

1 updates

Partnership with Aera to automate complex decision making within Hill's Pet Nutrition division using decision intelligence technology.

2023 Q1: no updates

2022 Q4

1 updates

Increased use of AI and data analytics in research and development, marking the start of more structured AI integration in product innovation.

2022 Q3: no updates

2022 Q2: no updates

2022 Q1: no updates

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

1 updates

Initial AI explorations aimed at clarifying marketing ROI and basic data analytics to improve business insights.