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How It Works

Which products are eligible to be recommended?

Smart Cart Recommendations filters every candidate before display, helping shoppers see products they can genuinely explore and add next-not a noisy or outdated product list.

What earns a product a place in the Cart section?

An eligible recommendation is a product that can add genuine value to the shopper’s current Cart and is ready to be discovered at that moment. The GoScript Smart Cart Recommendations WordPress plugin brings together purchase-informed candidates, your direct product choices, and optional fallbacks-then prepares the strongest suitable options for display.

This means the Cart section is not simply a list of related items. It is a focused set of products that meet your strategy and are available for shoppers to explore and add before checkout.

Three useful routes into the candidate pool

Smart Cart Recommendations can draw from three complementary recommendation sources. Each gives you a different way to make the Cart experience useful across your catalogue:

History-based suggestionsProducts with qualifying shared-order evidence from the relevant Cart products can earn a place through your store’s real purchase patterns.
Manual recommendationsMerchant-selected products can support strategic pairings, launches, and product relationships you want to guide directly.
Fallback productsQualifying best sellers or newest products can keep available spaces useful when history-based or manual candidates are limited.

These routes work together to give you both automation and intentional product control.

Ready to buy, ready to recommend

Before a candidate is shown, Smart Cart Recommendations confirms it is currently suitable for the storefront. Eligible products are published, visible, in stock, and purchasable, so the final Cart section can point shoppers toward products they can genuinely act on.

These current display checks run when the section is assembled, even when recommendation results are cached. That helps your Cart experience stay aligned with the live condition of your catalogue as stock and product status change.

Relevant to the Cart shoppers have already built

A final candidate should add something new to the Cart. Smart Cart Recommendations keeps suggestions distinct by removing products already in the shopper’s Cart and duplicate candidates, leaving room for additional products customers may genuinely want to discover.

For history-based recommendations, your optional category and tag matching rules can add another layer of catalogue relevance. Together with combined co-purchase evidence across the Cart, these rules help the final product count feel considered rather than repetitive.

Your product strategy shapes the final list

Global exclusions let you define the catalogue areas that should stay outside the recommendation experience. You can exclude individual products, categories, or tags from both smart and fallback suggestions, while product-level controls let you choose manual recommendations or suppress the section when a specific Cart product is present.

Those controls are not only guardrails-they give you a practical way to make the Cart section reflect your commercial priorities, from strategic pairings to restricted product groups.

One final standard across every source

Whether a product began as a history-based candidate, a manual recommendation, or a fallback product, it follows the same final availability and global-exclusion checks before display. That keeps the section consistent while still giving you flexible ways to source the products it contains.

When more eligible candidates are available than the selected product count, the strongest available candidates take priority. When fewer are available, your selected fallback can help complete the section-or you can leave it selective with no fallback.

Review eligibility as your catalogue evolves

If a product you expected is not shown, treat that as a useful cue to review its current catalogue status, Cart context, exclusions, matching rules, and available co-purchase evidence. The product-level recommendation preview and troubleshooting guide make it straightforward to investigate the result and refine your setup.

Next steps

Use these guides to shape the candidate pool and investigate results in the context of your own Cart strategy.

Need help with Smart Cart Recommendations?

Check the documentation first, or contact us if you still need a hand.

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