Unilever is expanding its deployment of artificial intelligence, digital twins, and connected data networks across its global supply chain to navigate shortening consumer demand cycles and support massive promotional activations. Vicky Cuthbert, Chief Product Supply Chain Officer for Personal Care, noted that consumer demand cycles have compressed from months to hours, prompting the consumer goods giant to shorten its concept-to-pilot timelines to 12 weeks through an integrated human-AI operational model.

The strategy proved critical during Unilever’s commercial activation for the FIFA World Cup 2026™, which spanned 35 brands, 180 limited-edition products, and distribution across millions of retail outlets in over 120 countries. To handle complex planning and marketing demand spikes, Unilever relies on its AI-powered Forecast Engine Utility, which generates a weekly 104-week forecast covering over 5 million product-customer combinations across 40 operating markets. Additionally, an AI customer-connectivity pilot with Walmart in Mexico achieved over 98% on-shelf availability while simultaneously driving down inventory levels.

At the plant level, Unilever uses AI and digital twin simulations—virtual replicas of production processes—to boost efficiency and eliminate bottlenecks before physical manufacturing begins. Its factory in Hefei, China, reported an 8% increase in overall equipment effectiveness, a 20% waste reduction, and a 25% drop in logistics costs while fulfilling roughly 31,000 daily orders. Similarly, its Raeford, North Carolina facility achieved a 10% capacity gain and a 20% waste reduction. Following these results, Unilever plans to roll out more than 40 AI-powered digital twins across its manufacturing facilities over the next 18 months.

Underpinning this operational shift is a five-year partnership with Google Cloud aimed at establishing an enterprise-wide digital framework that connects data and supports agentic workflows. By linking retail point-of-sale data with upstream material sourcing and factory scheduling, Unilever aims to move its global supply chain from reactive management to a predictive, scenario-based execution model.