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Google Cloud Consumer Goods United States

Authentic Brands Group

Marketing Personalization

Authentic needed to generate large volumes of brand-compliant ecommerce media quickly across a broad portfolio without forcing creative teams to bounce between disconnected enhancement and video tools.

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60% increase in return on ad spend (ROAS) for an ad campaign using AI-enhanced images versus traditional imagery
Developed nearly 30 AI agents tailored to the company’s unique business needs
Generated 15,000 new, brand-compliant ecommerce images in three months across the brand portfolio

Reported impact

Business outcome

Authentic accelerated asset creation, lifted campaign performance, and built a reusable AI operating layer for creative work across its brand portfolio.

  • Customer Experience
  • Revenue Growth
  • Speed to Market

Solution

Authentic Brands Group uses Google Cloud to address this challenge: Authentic needed to generate large volumes of brand-compliant ecommerce media quickly across a broad portfolio without forcing creative teams to bounce between disconnected enhancement and video tools. Gemini Enterprise Agent Platform provides the managed foundation where Authentic can access and operationalize the AI models behind its media workflows, serving as the serving layer. Gemini powers the enhancement layer that upscales, annotates, and edits ecommerce images in real time, serving as the compute layer. Veo 3 generates additional video and motion assets such as seasonal or localized ecommerce variants, serving as the compute layer. Product imagery enters the Authentic Images workflow on Gemini Enterprise Agent Platform, Gemini enhances and edits the assets in place, and Veo 3 extends those assets into video-ready ecommerce variants for specific campaigns or seasons.

Data flow

Product imagery enters the Authentic Images workflow on Gemini Enterprise Agent Platform, Gemini enhances and edits the assets in place, and Veo 3 extends those assets into video-ready ecommerce variants for specific campaigns or seasons.

Solution architecture

3 components · 2 layers
  1. Compute
    • Gemini powers the enhancement layer that upscales, annotates, and edits ecommerce images in real time
    • Veo 3 generates additional video and motion assets such as seasonal or localized ecommerce variants
  2. Serving
    • Gemini Enterprise Agent Platform provides the managed foundation where Authentic can access and operationalize the AI models behind its media workflows

Architecture clues

  • Nearly 30 AI agents were developed for different internal business needs
  • The company generated 15,000 new ecommerce images in three months
  • The enhancement workflow keeps teams inside one toolchain instead of exporting to separate design apps

Evidence from the source

60% increase in return on ad spend (ROAS) for an ad campaign using AI-enhanced images versus traditional imagery
Developed nearly 30 AI agents tailored to the company’s unique business needs
Generated 15,000 new, brand-compliant ecommerce images in three months across the brand portfolio
The company’s brands will do more than $36 billion in systemwide retail sales worldwide in 2026, but they remain lean, with just under 600 employees. To work faster and smarter while telling great brand stories, Authentic created a private AI operating system, called Authentic Intelligence, in under six months with help from Google.
With a portfolio spanning more than 50 iconic global brands, Authentic has leveraged AI to democratize the creative process, streamline operations, increase output, and bring a wealth of valuable data to every employee.
owns a portfolio of more than 50 well-known global brands that includes Reebok, Juicy Couture, Shaquille O’Neal, David Beckham, and Sports Illustrated.
Transparency Evidence & methodology 76/100 reference value · 89% 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 value76/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity16/20
    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 confidence89%
  • 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 provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    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

    Authentic Brands Group customer story

    First-party
    https://cloud.google.com/customers/authenticbrands
    Source type
    Vendor-published customer story
    Published
    Jan 11, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Jan 11, 2026 · Google Cloud Press Corner · First-party
    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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