AI Frequently Bought Together helps eCommerce websites automatically recommend products that are often purchased together based on real order history and customer buying behavior, instead of relying on manually created rules.

The AI continuously learns from order data to generate relevant product recommendations that match how customers actually shop. This helps merchants increase cross-sell opportunities, improve Average Order Value (AOV), and deliver a more personalized shopping experience.

Automatically learn from order history
Display recommendations on PDP, Cart Page, and Mini Cart
Pin strategic products for campaigns
Blacklist products that should not be recommended
Sync data manually or on schedule
Direct integration with Magento 2.4.8

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FAQ

AI-Powered Frequently Bought Together Recommendations

Instead of manually creating product bundles, AI analyzes customer buying journeys to identify products that are commonly purchased together. It then automatically generates relevant recommendation lists for each product.

This helps merchants save time on setup while keeping recommendations closer to real customer behavior.

AI powered frequently bought together recommendations

AI Continuously Learns from Sales Data

The system supports historical order data synchronization, allowing AI to learn and build its recommendation model. Merchants can sync data from the last 1, 3, 6, or 12 months and set up cron jobs for scheduled updates.

As a result, recommendations can reflect the latest shopping trends without requiring manual configuration.

Recommendations on Product Detail Page, Cart Page and Mini Cart

Frequently Bought Together is not limited to the Product Detail Page. It can also appear on the Cart Page and Mini Cart, giving merchants more touchpoints to encourage customers to discover and add related products to their orders.

This helps create a smoother cross-sell experience from product discovery to checkout.

recommendations on product detail page cart page and mini cart

Pin Product – Prioritize Strategic Products

Merchants can pin selected products to prioritize them in the Frequently Bought Together recommendation list. This is useful for promoting new arrivals, supporting sales campaigns, or creating strategic product combos while still benefiting from AI-powered recommendations.

Blacklist Management – Remove Unwanted Products

Merchants can add products to a blacklist so they no longer appear in recommendation lists on the website. This helps prevent out-of-stock, discontinued, or strategy-misaligned products from being recommended to customers.

Flexible Settings for Business Goals

Merchants can customize the number of AI-recommended products, the minimum data threshold, and the number of displayed products for desktop and mobile.

This gives businesses more control over recommendation quality while optimizing the display experience for each device.

Smart Data Synchronization

Frequently Bought Together supports both manual and scheduled data synchronization, helping AI stay updated with the latest sales data. The entire process can be managed directly in Magento Admin without complex technical operations.

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GENERAL QUESTIONS OF AI FREQUENTLY BOUGHT TOGETHER

Can a new website with limited order data use this extension?

Yes. When there is not enough data for AI to generate recommendations, merchants can still set up frequently bought together products in advance using the Pin Product feature.

These pinned products can be displayed when AI does not have enough data or temporarily encounters an error, helping ensure the recommendation section is not left empty.
How long does it take to start using the extension after installation?

After connecting the AI service, enabling the display areas, and syncing the initial order data, the system can start returning recommendations.

The exact time depends on the amount of data that needs to be synced and the website configuration.
Does AI automatically remove out-of-stock products from recommendations?

Yes. The system can detect the Out of Stock status and remove unavailable products from recommendation lists, helping avoid suggesting items customers cannot purchase.

When the product is back in stock, Frequently Bought Together can automatically bring it back into relevant recommendation lists without requiring manual admin setup.
What happens if the AI service responds slowly or is temporarily interrupted?

Merchants can configure the API response timeout. If AI does not have enough data or encounters an error, pinned products can still be used as a fallback option on PDP, Cart Page, and Mini Cart.
Can merchants control recommendation reliability?

Yes. Merchants can set the Min Support Threshold to define the minimum data requirement for a recommendation.

This helps reduce suggestions based on too few transactions and prioritizes product relationships with stronger purchase signals.
Which metrics should businesses track after implementation?

Businesses should track the add-to-cart rate from the recommendation section, revenue from recommended products, average number of items per order, and Average Order Value.

These metrics should be compared before and after implementation. Merchants should also review performance separately across PDP, Cart Page, and Mini Cart to identify which placement drives the best results.

Magento 2 AI Frequently Bought Together for Magento 2