Product recommendations
Product recommendations are generated using machine learning, product attributes, and customer behavior data.
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Recommendations fall into the following categories:
Buy it again collection
A collection of previously purchased items that makes reordering easy.
Complementary items
Suggested products that customers frequently buy together.
Product pairings
Products that pair well together can inspire customers to try new items.
Nutritious choices
Products with high nutritional content.
Replacement items
Instructions for when a customer's preferred product is unavailable.
tip
If you want to generate product recommendations for items that customers may be running low on (also known as restock reminders), consider upgrading to Instacart Storefront Pro.