At the core of the Next initiative is a data flywheel and an AI-powered restaurant operating system called ArchIQ, paired with a Google edge-compute partnership and improvements across inventory, supply chain, and digital experiences.

McDonald’s aims to deliver about 250 basis points of restaurant-level efficiency over time, driven by standardized data architecture and continuous learning loops across operations.

The strategy rests on four technology-and-people pillars—Menu, Consumer, Restaurant, and People—with AI-driven training to curb turnover costs, citing replacement costs around $1,600 per employee and $5,800 for a shift manager.

ArchIQ draws on learnings from 8,000 restaurants in China and uses real-time visibility and automation via Restaurant General Manager Boss; pilots in the UK and contributions from France support accuracy scales.

McDonald’s has moved from data puddles to a unified technology platform with an enterprise data foundation, enabling scalable AI across 46,000 restaurants and beyond.

ArchIQ enables voice-driven drive-thru, real-time automated inventory, connected equipment with computer vision, and millions of order verifications to improve accuracy, reduce labor and waste, and expand menu availability; pilots are ongoing across regions.

Edge compute through Google Distributed Compute brings high-performance AI at the edge into restaurants, with a multi-year roll-out and a unified point-of-sale system across markets.

Digital engagement centers on a tiered loyalty program, personalization, and partnerships (including Uber and Disney+) to monetize customer data, with Global Mobile Platform enabling fast reordering, rewards, and rapid deployment of new experiences.

The tech stack spans multiple vendors (Google Cloud, AWS, MParticle, Qualtrics, Oracle/SAP/ServiceNow, Cognizant) under a data governance framework and a data lake that underpins AI, though one data lake provider remains undisclosed.

McDonald’s launches a three-year roadmap called McDonald’s Next, prioritizing AI and digital capabilities with an $8.5 billion investment to drive the targeted 250-basis-point efficiency gain.