FMCG
Hindustan UnileverHindustan Unilever

Creative Validation at Scale

~50% faster creative review cycles

Hindustan Unilever operates at the scale of one of the world's largest FMCG portfolios. Before campaigns launch, product advertising is evaluated using advanced creative analytics—science-backed models that forecast how assets are likely to perform, so teams can refine creative and media decisions with confidence rather than guesswork.

The Challenge

Hindustan Unilever relies on AI-driven creative analytics to gauge how product advertising will perform before it goes live—informing decisions on messaging, branding, and media spend across brands and markets. As creative volume grew, the operational workflow behind each validation cycle became the bottleneck. Coordinating hundreds of assets through ingestion, platform setup, and results distribution was handled manually, stretching turnaround to several days per batch and slowing the path from creative production to actionable intelligence.

What Carufus Built

We designed and delivered an intelligent process automation layer that orchestrates the full validation pipeline. Creative assets move from source systems into the analytics environment without manual handoffs, with market, brand, and channel context applied consistently at scale. Before analysis runs, an AI input-validation layer cross-checks each asset against its own submission metadata — confirming the video content matches its tagged brand, that it's actually in the format its input claims (for example, a submission tagged as a YouTube Short is genuinely in Shorts format), and that any claimed creator matches the asset — so a batch is never scored against wrong or mismatched input. Marketing teams spend less time on repetitive coordination and more time interpreting performance signals and refining creative direction.

The Result

  • High-volume creative batches completed in roughly half the previous cycle time
  • End-to-end pipeline automation from asset intake through platform readiness
  • AI input-validation layer cross-checks brand, platform format, and claimed creator against the actual asset before scoring runs
  • Consistent, repeatable validation across brands, markets, and channels
  • Faster delivery of performance insights to marketing and brand teams
  • Operational capacity to scale creative testing without proportional headcount growth

HUL can now run pre-launch creative validation at the speed and volume the business demands. Performance insight reaches decision-makers sooner, and the organization has a scalable operating model for creative analytics—one that grows with the portfolio instead of slowing it down.

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