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AI for the brand, the shelf, the supply chain, and the shopper.

Personalize creative at scale, normalize messy distributor data, run computer vision on shelves, and forecast demand at SKU x store granularity — with AI built for how CPG actually operates.

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Why this industry is hard for AI

  • !Distributor and retailer data arrives in dozens of incompatible formats.
  • !Demand swings fast — forecasts at SKU x store granularity are brutal to maintain.
  • !Creative and content can't scale to every channel and market by hand.

How we solve it

  • Data normalization agents that harmonize messy distributor and POS feeds.
  • Forecasting models tuned to promotions, seasonality, and local demand.
  • Generative creative pipelines with brand guardrails baked in.

Top use cases for FMCG (CPG Brands)

Shelf Computer Vision

Measure share-of-shelf, OOS, and planogram compliance from photos.

Demand Forecasting

SKU x store predictions that account for promos and seasonality.

Distributor Data Normalization

Turn messy secondary-sales feeds into clean, queryable data.

Creative at Scale

On-brand variations for every channel, market, and shopper segment.

Compliance & Trust

SOC 2ISO 27001GDPR

Brand-safe generation with human approval gates and full content lineage.

Share-of-shelf audits went from a monthly sample to daily, store-by-store.
Director, Trade Marketing · Global CPG Brand

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Tell us your FMCG (CPG Brands) workflows — we'll map the highest-ROI AI opportunities for your team.

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