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Consumer Goods / Manufacturing

Unilever

$400M+

Annual savings

98%

Product availability

30%

Sales lift (smart freezers)

Challenge

Optimizing global supply chain, reducing waste, improving demand forecasting

Solution

500+ AI projects across value chain: digital twins, IoT, demand forecasting, smart freezers, factory optimization

Key Results

  • $400M+ in annual savings
  • 98% product availability
  • 30% sales increase from AI-enabled freezers (Mexico pilot)
  • 10% forecast accuracy improvement
  • 3% OEE improvement, 5% labor productivity rise

Key Lesson

End-to-end AI integration across the value chain delivers more than isolated point solutions.

Technology Stack

Digital twinsIoTML forecastingComputer vision

Relevance by Role

CEO: $400M savings demonstrates enterprise-scale AI value

CFO: Quantifiable savings across multiple dimensions

CTO: Digital twins, IoT, 13B daily computations at scale

COO: End-to-end supply chain optimization with measurable KPIs

This case study is based on publicly available information and industry research. VAILIS presents these as educational content demonstrating the transformative potential of AI integration across industries.