Google Cloud Manufacturing Brazil

GWM

Marketing Personalization

GWM needed a faster, more cost-efficient way to produce a commercial that could still connect emotionally with its audience.

Ad production costs up to 10x lower than traditional shoots
Full commercial delivered in 56 days, half the usual time
GWM Brasil used Google Cloud generative AI to produce the first 100% AI-generated automotive commercial in the country.
Generated over R$5 million in earned media globally

Reported impact

Business outcome

Ad production costs up to 10x lower than traditional shoots; Full commercial delivered in 56 days, half the usual time; Generated over R$5 million in earned media globally; GWM Brasil used Google Cloud generative AI to produce the first 100% AI-generated automotive commercial in the country.

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

Solution

GWM needed a faster, more cost-efficient way to produce a commercial that could still connect emotionally with its audience. Other tools were considered, but the decision came down to two things. Beyond the consistent support from Google's team throughout the project, the main deciding factor was Veo , Google's enterprise video generation model, which had just launched and offered… The workflow was built on a suite of Gemini Enterprise Agent Platform tools working together: Veo for video generation, Imagen for still image creation, and the Text-to-Speech API for narration. Cloud Storage managed all assets throughout the process, while… Key components include Nano Banana provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis; Gemini Enterprise Agent Platform coordinates multi-agent workflows, tool calling, and governed automation across the application; Cloud Storage stores large files, lake data, or static assets that.

Solution architecture

5 components · 3 layers
  1. Compute
    • Nano Banana Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
    • Cloud Run Runs serverless or virtualized application services with elastic scale for production AI workloads.
    • Veo Provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis.
  2. Storage
    • Cloud Storage Stores large files, lake data, or static assets that feed downstream analytics and applications.
  3. Orchestration
    • Gemini Enterprise Agent Platform Coordinates multi-agent workflows, tool calling, and governed automation across the application.

Architecture clues

  • The campaign generated more than R$5 million in earned media, with coverage across publications around the world. The Haval H6 continued its position as Brazil's best-selling hybrid, supported by a launch that put GWM…
  • The workflow was built on a suite of Gemini Enterprise Agent Platform tools working together: Veo for video generation, Imagen for still image creation, and the Text-to-Speech API for narration. Cloud Storage managed…

Evidence from the source

Ad production costs up to 10x lower than traditional shoots
Full commercial delivered in 56 days, half the usual time
GWM Brasil used Google Cloud generative AI to produce the first 100% AI-generated automotive commercial in the country.
Generated over R$5 million in earned media globally
Great Wall Motors (GWM) Brasil is one of Brazil's fastest-growing automakers, offering a full lineup of multi-energy vehicles that includes hybrids, plug-in electrics, diesel, and flex models. The company reached…
When it was time to launch the all-new Haval H6, the company's flagship model and Brazil's best-selling hybrid, GWM's media team faced a familiar tension. Traditional advertising production in Brazil is expensive and…
Transparency Evidence & methodology 95/100 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 value95/100
  • 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 specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    5 metrics describe measurable impact.
  • Deployment scale10/10
    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

    GWM customer story

    First-party
    https://cloud.google.com/customers/gwm
    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

  • Sitemap last modified Jul 10, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Jul 10, 2026 · Google Cloud · Unknown Legacy extracted date without source-page confirmation.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.