Ian Borden, CFO, McDonald’ s
“ Pairing the iconic brand, size and scale of McDonald’ s with Google Cloud’ s deep history in AI and technology innovation will redefine how this industry works and what people expect when they dine out.”
Predicting risk, not responding to it One of McDonald’ s most important use cases for predictive analytics is risk management. The company’ s global enterprise risk framework now explicitly calls out AI-driven technology as a way to anticipate disruptions ahead of time.
That might mean rerouting ingredient shipments away from weather-affected regions, identifying alternative suppliers based on real-time compliance data, or even reformulating menus when specific ingredients face long-term shortages.
For example, during the post-pandemic years of 2021 – 2023 – a volatile time with shipping bottlenecks and sudden demand surges hitting headlines, causing chaos across global supply networks – analytics tools allowed McDonald’ s to stay ahead of the chaos. Orders could be redirected, alternative suppliers onboarded and logistics recalibrated – days faster than would have been possible with traditional manual planning.
McDonald’ s CFO Ian Borden says:“ We’ re going to continue to invest in the areas where we think we have strategic opportunities to drive greater efficiency.
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