How Mars and Tredence Redefined Enterprise GenAI for the Global CPG Industry
A Forrester-validated case study highlighting how Tredence helped one of the world's largest CPG companies deploy GenAI responsibly, securely, and at scale.
28,000+
Employees actively using AI tools, up from 200 at launch
2.5M+
Queries generated across multiple LLMs
$0.15
Average cost per query via intelligent model routing
Forrester Case Study on Mars
Mars, a privately held CPG firm valued at approximately $55 billion, sought a company-wide AI strategy and guardrails. Tredence partnered with Mars to build MAX, a responsible, scalable GenAI platform, now recognized as one of the most ambitious enterprise GenAI deployments in the global CPG sector.
What Mars and Tredence Set Out to Achieve
Mars identified AI's potential to enhance employee productivity, improve products recommendations, and deepen consumer insights. The company aligned on a unified strategy to pursue that potential at enterprise scale.
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Boost employee productivity
Enable automation of routine tasks like analytics reporting, content generation, and internal communications.
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Enhance product offerings
Leverage zero-party data, including preferences, purchases, and loyalty insights, to improve product offerings and customer experience.
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Deepen consumer insights
Apply AI-driven summarization across shopper, sales, social media, and call center data to uncover improved customer insights.
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Operate responsibly
Build a responsible AI ecosystem that empowers employees, enriches shopper experience, ensuring security or ethical standards.
How We Built It
Over 12 months, Mars built a governed, enterprise-grade AI platform in three deliberate steps.
MARS
Kaarthik Subramaniam
Director, Digital Experiences Platforms
Tredence's experience at Mars reflects a broader movement across industries. Mars & Tredence truly think that the unified multimodal platform approach with compliance with Responsible AI principles is the way forward because it empowers both technology and business users to leverage AI in their daily work in a safe way.
Build a scalable, enterprise-grade GenAI platform
Tredence built the underlying platform to securely enable and manage GenAI applications. With Tredence supporting the underlying platform build, Mars brought together Google, Microsoft, and AWS into a composable architecture purpose-built for flexibility, observability, and cost optimization.
Create an AI governance framework
Mars established guidelines aligned with NIST and the EU AI Act. Employees engaging with AI tools were trained on safety, risk, and proper use of intellectual property.
Deploy pilot programs
Initial use cases focused on corporate communications and workforce automation. Mars also introduced a secure LLM sandbox for employees to experiment with AI to generate ideas, summaries, & reports.
Early indicators of impact.
140x
Growth in active AI users
Adoption scaled from 200 at launch to over 28,000 employees within 12 months, generating over 2.5 million queries across multiple LLMs.
$0.15
Average cost per query
Centralized infrastructure, Intelligent model routing and multi-LLM optimization reduced duplication drove the platform to an average cost of $0.15 per query.
FORRESTER
Sucharita Kodali
VP and Principal Analyst, Forrester
According to Case Study: How Mars Plans Its AI Projects, authored by Sucharita Kodali, VP and Principal Analyst at Forrester
Mars partnered with Tredence to build a secure platform to enable and manage GenAI applications. The collaboration highlights how enterprises are pivoting to structured GenAI adoption beyond experimentation. With Tredence supporting the underlying platform build, Mars leveraged multiple partners to enable multimodal access, driving flexibility and cost efficiency.
More from the people who built it.
Perspectives and coverage on the Mars GenAI journey & Tredence's approach to enterprise AI.