Rudy Lai

AI @ Colgate-Palmolive

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

Summary

  • Colgate-Palmolive has steadily expanded its use of AI from initial ROI analyses in 2019 to sophisticated generative AI deployments by 2025, focusing on product innovation, digital consumer insights, supply chain optimization, and marketing efficiency.
  • Key executives, including CEO Noel Wallace and AI leader Prabha Narasimhan, have driven AI adoption with measurable impacts such as a 16% profit boost linked to AI efficiency and premiumisation strategies by late 2024.
  • The company employs a mix of AI types including generative AI for product concept development, traditional AI for decision intelligence in supply chain, and predictive analytics for consumer insights, with thousands of employees trained and reporting improved creativity and work quality.

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6 AI Use Cases at Colgate-Palmolive

Innovation Acceleration
2025
Traditional
Generative
Agentic
Outcome
Revenue
Colgate-Palmolive uses AI to synthesize consumer insights quickly, identify unmet needs, generate new product concepts, and rapidly iterate designs via digital consumer twins, reducing reliance on traditional focus groups and research hours. [1][2]
Market Insights
2025
Traditional
Generative
Agentic
Outcome
Revenue
Using retrieval-augmented generation and LLMs, Colgate-Palmolive rapidly accesses proprietary consumer data and digital shelf analytics to guide marketing and product development decisions more effectively. [1][2]
Employee Upskilling
2025
Traditional
Generative
Agentic
Outcome
Colgate-Palmolive conducts extensive AI training for its workforce, enabling thousands of employees to enhance work quality and creativity when using AI tools integrated into daily workflows. [1][2]
Demand Forecasting
2024
Traditional
Generative
Agentic
Outcome
Costs
The company uses AI and ML demand forecasting tools integrated into supply chain management to optimize inventory and reduce waste across its global markets. [1][2]
Personalized Scents
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Revenue
By combining predictive analytics with user insights, Colgate-Palmolive develops AI-enhanced product scents designed to evoke desired moods such as happiness and relaxation, improving product appeal. [1][2]
Decision Automation
2023
Traditional
Generative
Agentic
Outcome
Costs
Colgate-Palmolive implements decision intelligence tools to automate complex operational decisions in divisions like Hill's Pet Nutrition, improving speed and accuracy in supply chain and business processes. [1]

Timeline

2025 Q3

2 updates

Colgate-Palmolive continues leveraging AI in dental practices with AI-assisted diagnostic tools and treatment planning, and integrates AI strategies spanning smart products, intelligent factories, and proprietary data for competitive dominance.

2025 Q2

1 updates

Colgate-Palmolive demonstrates practical generative AI applications in market research acceleration and product development, emphasizing responsible AI hosting internally and producing measurable improvements in work quality and innovation.

2025 Q1

1 updates

Generative AI is utilized for the complete innovation cycle, including consumer insight synthesis, product concept generation, and rapid iteration with digital consumer twins; an internal AI Hub monitors KPIs, and employees report increased creative output.

2024 Q4

4 updates

CEO Prabha Narasimhan highlights AI as a growth driver alongside premiumisation and oral personal care focus, with AI/ML demand forecasting becoming routine; also advances in AI for market insights, training, and HR collaboration tools such as Google Chat.

2024 Q3

3 updates

Innovations include AI-enhanced scent development combining predictive analytics and user insights, AI-driven supply chain improvements, and digital transformation that boosts company profit by 16%, with CEO Noel Wallace emphasizing revenue management and cost savings.

2024 Q2

1 updates

Scaling AI investments globally, Colgate-Palmolive focuses on AI use cases with potential for worldwide impact across 200 markets, consolidating AI resources for efficiency.

2024 Q1

1 updates

Colgate-Palmolive expands generative AI use across innovation cycles, synthesizing consumer insights rapidly, employing digital consumer twins for product testing, and embedding AI training throughout the workforce.

2023 Q4: no updates

2023 Q3

3 updates

The company pilots generative AI chatbots and tools to enhance e-commerce product detail pages and streamline digital shelf analytics, testing generative AI content creation to improve conversion.

2023 Q2

1 updates

Partnership with Aera enables Colgate-Palmolive to automate complex decision-making processes in its Hill’s Pet Nutrition division using decision intelligence.

2023 Q1: no updates

2022 Q4

1 updates

Colgate-Palmolive advances AI use in research and development, applying artificial intelligence and data analytics to transform business growth strategies.

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

Colgate-Palmolive begins exploring AI to better understand marketing ROI and payback periods, marking the start of AI adoption within the company.