Rudy Lai

AI @ Mondelez International

Snacks (Oreo, Cadbury)
Industry
Last updated
July 3, 2025 at 10:44 AM

Summary

  • Mondelez has progressively integrated AI across R&D, marketing, supply chain, and product innovation from 2023 through 2025, scaling from exploratory projects to large-scale generative AI deployments.
  • Notable milestones include the launch of a generative AI marketing platform in 2024 developed with Accenture and Publicis Groupe, leading to significant improvements in creation speed and personalization, and later investing $40M in AI-generated TV ads to reduce production costs by up to 50%.
  • AI applications at Mondelez extend internally (R&D recipe optimization, demand forecasting) and externally (personalized marketing content), delivering outcomes like cost reduction, increased innovation velocity, improved marketing efficiency, and enhanced consumer engagement.

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4 AI Use Cases at Mondelez International

Recipe Optimization
2024
Traditional
Generative
Agentic
Outcome
Revenue
Mondelez uses AI to develop and optimize snack recipes faster by analyzing flavor, cost, sustainability, and consumer preferences, accelerating product innovation cycles with better taste profiles and ingredients. [1][2][3]
Content Generation
2024
Customer Facing
Traditional
Generative
Agentic
Outcome
Costs
Mondelez implemented a generative AI marketing platform with Accenture and Publicis that efficiently creates personalized marketing materials including text, images, and videos, significantly reducing content production time and costs. [1][2][3]
Demand Forecasting
2024
Traditional
Generative
Agentic
Outcome
Costs
Machine learning models forecast consumer demand by analyzing historical sales and market data to optimize supply chain, production planning, and inventory management reducing waste and stockouts. [1]
Promotion Optimization
2024
Traditional
Generative
Agentic
Outcome
Revenue
AI-driven analytical tools help optimize pricing and promotions strategies to increase sales productivity and profitability through more precise targeting and dynamic adjustment. [1]

Timeline

2025 Q4

3 updates

Mondelez invested $40 million in generative AI to produce marketing content, achieving 30%-50% cost cuts in content production and planning AI-generated TV ads to air in 2026, demonstrating a mature, cost-saving marketing use case.

2025 Q3

0 updates

Analysis and strategy discussions highlighted Mondelez's integrated AI approach combining digital transformation and generative tools to strengthen dominance in consumer packaged goods and confectionery.

    2025 Q2: no updates

    2025 Q1

    2 updates

    Mondelez continued leveraging AI to maximize product innovation and optimize flavors, costs, and sustainability in snack recipe development, further accelerating R&D productivity.

    2024 Q4

    5 updates

    Mondelez deeply integrated AI in R&D to produce new snack recipes and optimize classic products like Oreos, speeding product innovation up to five times, while also developing in-house generative AI platforms to reduce marketing costs; marketing efforts combined AI with human empathy to enhance brand connections.

    2024 Q3

    3 updates

    A major push into generative AI marketing occurred with the launch of a new AI platform co-developed with Accenture and Publicis Groupe, enabling efficient creation of personalized text, images, and videos; Mondelez announced plans to accelerate generative AI adoption in marketing.

    2024 Q2

    1 updates

    Mondelez applied machine learning in supply chain to predict demand more accurately, supporting better production and inventory decisions.

    2024 Q1

    1 updates

    Mondelez enhanced revenue growth management (RGM) and marketing strategies using AI-based analytical tools to optimize promotions, pricing, and sales productivity.

    2023 Q4: no updates

    2023 Q3

    1 updates

    Mondelez collaborated with WPP on an AI-driven Cadbury campaign in India, demonstrating early adoption of AI in marketing and advertising.

    2023 Q2

    1 updates

    Mondelez began exploring AI in research and development, discussing potential applications with experts like Joe Manton to enhance innovation processes.