Key Takeaways
- AI recommendation engines in grocery apps increased average basket size by 22% for 74% of users in 2023.
- AI-powered robots in grocery stores performed 92% accurate shelf stocking, reducing out-of-stocks by 34% in 2023.
- In 2023, 42% of U.S. grocery chains adopted AI for demand forecasting, resulting in a 28% decrease in overstocking incidents across perishable goods categories.
- AI demand forecasting models achieved 94% accuracy for staples, reducing waste by 27% in 2023.
- AI algorithms in grocery supply chains reduced lead times by 35% for 72% of adopting retailers in 2023.
AI is boosting grocery retail efficiency and customer personalization, driving measurable gains in sales and operations.
Related reading
01 · Category
Customer Engagement28 stats
Customer Engagement Interpretation
02 · Category
In Store Operations28 stats
In Store Operations Interpretation
03 · Category
Market Trends And Adoption30 stats
Market Trends And Adoption Interpretation
More related reading
04 · Category
Predictive Analytics30 stats
Predictive Analytics Interpretation
05 · Category
Supply Chain Optimization30 stats
Supply Chain Optimization Interpretation
AI boost across grocery experience & operations
From personalization that increases basket size and savings to operational automation that reduces errors and stockouts, AI is driving measurable lift across the grocery journey.
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.
Elif Demirci. (2026, February 13). AI In The Grocery Retail Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-grocery-retail-industry-statistics
Elif Demirci. "AI In The Grocery Retail Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-grocery-retail-industry-statistics.
Elif Demirci. 2026. "AI In The Grocery Retail Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-grocery-retail-industry-statistics.
Sources & references
100 datasets cited across this report · attribution is report-level

