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Unilever · Google Cloud

Independently reportedOtherScaledEnterpriseClassical ML

Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.

Reported by aiexpert.network (independent reporting). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.

The problem

Minimizing environmental impact and optimizing supply chain efficiency and sustainability.

What was deployed

Vendor
Google Cloud
Technique
Classical ML
Build or buy
Bought and customised
Data used
satellite imaging, image capture
Scale
Unilever serves 3.4 billion daily consumers worldwide through a global manufacturing and distribution system; AI is applied across multiple business facets (freezers/vending, e-commerce, farm/landscape monitoring, product R&D, manufacturing).

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

15-35% increaseretailer sales

“By leveraging AI in the supply chain, Unilever has been able to increase sales for retailers by 15-35%, creating an opportunity for targeted promotions and valuable market research.”

Quoted word for word from the source

82% reductionemissions in surfactants production

“The utilization of machine learning and artificial intelligence has helped in rapid discovery, cutting the emissions in surfactants production by 82%, and enhancing efficiency across various stages of the supply chain.”

Quoted word for word from the source

improvedenergy efficiency in ice cream cabinets

“The implementation of AI has led to increased sales for retailers, improved energy efficiency in ice cream cabinets, and allowed Unilever to predict areas at risk for deforestation.”

Quoted word for word from the source

allowed Unilever to predict areas at risk for deforestationdeforestation risk prediction

“The implementation of AI has led to increased sales for retailers, improved energy efficiency in ice cream cabinets, and allowed Unilever to predict areas at risk for deforestation.”

Quoted word for word from the source

Difficulties and limits

Sources

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