Supply Chain Optimization with Artificial Intelligence: The Unilever Case

In an increasingly digitalized world, supply chain optimization has become a priority for companies seeking to stay competitive and sustainable. Unilever, a global leader in consumer goods, has demonstrated how integrating artificial intelligence (AI) can transform the supply chain into a more efficient and responsive system, achieving impressive results that benefit both the company and its business partners.?

Transforming the Supply Chain with AI: The Unilever Example

Unilever has embraced AI to optimize its supply chain through a series of innovative initiatives. Fore instance, by leveraging AI, Unilever has been able to increase sales for retailers by 15-35%, optimize product replenishment, and enhance collaboration with key partners like Walmart.

One of the most notable initiatives was a pilot in collaboration with Walmart Mexico, where Unilever implemented an AI-powered customer connectivity model. This system, designed to enhance planning, forecasting, and replenishment, achieved an impressive 98% product availability at points of sale and a 12% increase in sales in less than a year. These results were so significant that Unilever decided to roll out this model globally, starting with 30 key customers in markets like the United Kingdom and the United States.

The key to this success lies in AI's ability to analyze large volumes of data in real-time, allowing Unilever to synchronize sales information and inventory management with unprecedented accuracy. By breaking down traditional barriers between supply chains and increasing data visibility, Unilever has created a seamless ecosystem that efficiently integrates its supply chain with that of its customers.

This approach has not only improved operational efficiency but also strengthened Unilever's supply chain resilience in an increasingly volatile environment. The reduction in manual adjustments and fewer transportation trips have also contributed to lowering the carbon footprint, aligning operational goals with sustainability objectives.

The Challenges and Benefits of Implementing AI in the Supply Chain

Implementing AI in the supply chain is not without challenges. Unilever had to balance the energy consumption of AI technologies, align its sustainability goals, and coordinate with multiple partners to achieve effective integration. However, the benefits far outweigh the challenges. The ability to predict and respond quickly to market fluctuations, optimize inventory, and enhance collaboration with business partners are just a few of the tangible benefits Unilever has experienced.

The Future of the Supply Chain with AI and the Opportunity with Accéder

Unilever’s case is a clear example of how AI can transform the supply chain, not only to improve operational efficiency but also to advance sustainability and innovation. However, achieving effective AI integration in the supply chain requires careful planning, precise execution, and, most importantly, the right expertise.

This is where Accéder becomes a strategic ally. With a team of technology experts and a focus on artificial intelligence, Accéder is prepared to help companies transform their supply chains, just as Unilever has done. By implementing a world-class modular platform, starting with our AI Demand Forecasting Engine and extending to inventory, production, and replenishment planning modules, Accéder provides companies with powerful AI-driven planning capabilities.

If your company is looking to improve its supply chain planning, Accéder is the ideal partner to guide you through this transformation process. Like Unilever, you can turn AI into a driver of growth and sustained success, ensuring your supply chain is ready for the challenges of the future.