Managing large-scale supply chains is a constant balancing act where timing, inventory, and resources must align. Together, Fujitsu and Lowe’s Innovation Labs explored how advanced AI and quantum-inspired optimization can transform this complexity into actionable insights, enabling faster responses and more efficient, reliable operations.
Mason Sheffield, Senior Director of Innovation, Lowe’s Innovation Labs
Lowe’s navigated within significant complexity across its logistics network, where shifting demand and high inventory volumes created unpredictable peaks and bottlenecks. Despite having extensive operational data, turning it into timely, actionable insights through traditional tools remained challenging at the scale needed.
Fujitsu partnered with Lowe’s to develop an AI-driven optimization proof of concept combining machine learning with quantum-inspired techniques. This enabled Lowe’s to simulate millions of scenarios, balance inventory flows, and better align resources, delivering up to a 30% reduction in peak inventory arrivals.
Lowe’s is exploring how AI, automation, and data can work together to create more intelligent operations and deliver better customer experiences.
Agentic AI goes beyond prediction by enabling systems to take action, connecting fragmented supply chain data and improving coordination across operations.
Fujitsu’s key technologies empower organizations to solve complex challenges, accelerate digital transformation, and create sustainable value across industries.