Key Takeaways
- According to a 2023 Deloitte report, 62% of global food retailers have adopted AI-driven inventory management systems, leading to an average 18% decrease in overstock levels across perishable goods categories.
- McKinsey 2024 personalization engines increased basket sizes by 18% via AI recommendations in grocery apps.
- In a 2023 McKinsey study, AI optimized inventory turnover rates by 35% for 68% of participating food retailers.
- McKinsey 2023 data shows AI automation in checkouts sped transactions by 40% in 200 stores.
- McKinsey 2024 models predicted sales with 92% accuracy, outperforming humans by 25%.
AI is transforming food retail, boosting efficiency and personalization while improving customer experiences.
Related reading
01 · Category
Adoption and Market Size20 stats
Adoption and Market Size Interpretation
02 · Category
Customer Personalization20 stats
Customer Personalization Interpretation
03 · Category
Inventory and Supply Chain20 stats
Inventory and Supply Chain Interpretation
More related reading
04 · Category
Operational Efficiency20 stats
Operational Efficiency Interpretation
05 · Category
Predictive Analytics and Forecasting20 stats
Predictive Analytics and Forecasting Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 13). AI In The Food Retail Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-food-retail-industry-statistics
Emilia Santos. "AI In The Food Retail Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-food-retail-industry-statistics.
Emilia Santos. 2026. "AI In The Food Retail Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-food-retail-industry-statistics.
Sources & references
20 datasets cited across this report · attribution is report-level

