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Google Cloud Consumer Goods United States

Mars

IT Operations Automation

However, deploying AI across its diverse portfolio—spanning petcare products, veterinary services, and quality snacking and food products—meant services needed to be both accessible to all and specialized enough to serve specific business units.

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As a $65 billion family-owned business with a global workforce of more than 170,000 associates, Mars recognized the incredible potential of AI for streamlining its global operations. However, deploying AI across its diverse…
Empowering 62,000+ associates with agentic capabilities
For more than 100 years, Mars , Inc. has been bringing millions of people and their pets some of the world’s best loved brands, including Royal Canin©, M&M'S®, and Ben's Original™.
Together, ODAI and Gemini are providing a blueprint for Mars’ broader vision: putting AI into the hands of every single Martian. Mars is pioneering a new model where AI acts as a collaborative partner for its workforce, starting with an…

Reported impact

Business outcome

Reduced global campaign creation timelines from months to days; Empowering 62,000+ associates with agentic capabilities

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

However, deploying AI across its diverse portfolio—spanning petcare products, veterinary services, and quality snacking and food products—meant services needed to be both accessible to all and specialized enough to serve specific business units. Critical to this shift was the migration of One Demand AI (ODAI) to Gemini platform. Built in partnership with Google Cloud and Accenture, this agentic system acts as a unified “front door” for associates, providing access to agentic capabilities and… Before AI, orchestrating this complicated workflow took us months to do. We’re talking weeks now. That’s the acceleration that Gemini platform gives us. It's pretty dramatically changed our workflow and the pace of what we can produce and bring to market. Key components include Gemini platform coordinates multi-agent workflows, tool calling, and governed automation across the application. Reported outcomes include Reduced global campaign creation timelines from months to days; Empowering.

Solution architecture

1 components · 1 layer
  1. Orchestration
    • Gemini platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.

Architecture clues

  • Mars also manages a vast ecosystem of disconnected data and legacy systems, hindering its ability to effectively use decades of valuable institutional knowledge. Compounding this complexity, many business processes…
  • This approach is already making an impact at Mars, particularly within brand campaign creation. Historically, Mars’ marketing and brand teams had to navigate a highly manual process that typically involved multiple…
  • To overcome these challenges, Mars partnered with Google Cloud to adopt Gemini as the primary AI operating system for its global workforce. This collaboration is establishing a strong foundation for integrating AI into…
  • “With Gemini platform, our job becomes easier,” Mehrish says. “I don't need to outsource or hire extra help to actually build out the entire pipeline. Google takes care of that through the Gemini platform managed…

Evidence from the source

As a $65 billion family-owned business with a global workforce of more than 170,000 associates, Mars recognized the incredible potential of AI for streamlining its global operations. However, deploying AI across its…
Empowering 62,000+ associates with agentic capabilities
Reduced global campaign creation timelines from months to days
This is not a technology transformation—it’s a process transformation. With Google Cloud, we have a new way to create the world we want tomorrow and how we do our business today.
To overcome these challenges, Mars partnered with Google Cloud to adopt Gemini as the primary AI operating system for its global workforce. This collaboration is establishing a strong foundation for integrating AI into…
With Gemini, Mars is automating core business processes, empowering associates to work faster and more creatively.
Transparency Evidence & methodology 75/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence77%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    6 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Mars customer story

    First-party
    https://cloud.google.com/customers/mars
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Jul 25, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Oct 8, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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