AI-Powered Product Recommendations

As shoppers become increasingly selective about the brands they choose, the real competitive edge lies in staying relevant. And relevance isn't achieved by louder messaging—it's built through perfect timing, meaningful context, and a clear understanding of what your customers truly need.

The brands leading the way today aren't relying on guesswork. They're putting data to work to unlock better experiences and letting AI do what it does best: spot the patterns, predict the moments, and guide the next move.

RetentionX's product recommendation algorithm analyzes your customer base to uncover expansion opportunities and determine the optimal path for each unique customer. Instead of random suggestions, it focuses on the next logical offer—ensuring that every recommendation is personalized and aligned with real customer needs. It's a smarter way to build relationships, increase revenue, and future-proof your marketing engine. 

AI-powered product recommendations include:

• Next Best Offer per customer
• Ideal Cross-Selling Opportunities per product

Next Best Offer

RetentionX identifies up to eight next best product offers for every single customer. You’ll find these predictions right in the customer’s profile under Recommendations.
 

RetentionX's AI uses a combination of the customer’s own purchase history and the behavior of similar customers to determine what’s most relevant. 

Each suggestion is paired with a significance score (1–4) that reflects the confidence level of the prediction. Think of the significance score as a confidence guide. All suggestions shown are valid recommendations; the score simply helps you understand which are the strongest signals so you can focus your attention where it matters most.
 

Based on these customer insights, you can create segments of customers who share the same product recommendation, making it easy to launch campaigns that target them with the right message at the right time:

For example, send an email campaign to all customers who share the same next best offer:

Cross-Selling Opportunities

Beyond individual predictions, RetentionX identifies up to eight ideal cross-sell opportunities at the product level. This allows you to see which items are most frequently purchased by the same customers (either together or subsequently) and how you can bundle or promote them strategically.


 

Instead of pushing random pairings, you’re tapping into real buying patterns—turning each transaction into a chance to expand your customer’s relationship with your brand.
 

How to Customize the Recommendations

Every brand operates differently, which is why flexibility is key. In Company Settings > Predictions, you can fine-tune how recommendations are generated:

• Out-of-stock products
  Decide whether items currently unavailable in your Shopify inventory should still be displayed as recommendations. If you exclude out-of-stock products, they won’t be suggested again until inventory is replenished in Shopify.

• Previously purchased products
  Choose whether items a customer has already bought can reappear as recommendations. For consumables or repeat-use products, this often makes sense. For categories like apparel or jewelry, however, it may be less relevant.

• Recommendation level
  Set whether predictions are made at the product level or the more granular variant level, depending on how your catalog is structured. For example, if you sell supplements where flavor is a separate SKU, recommendations should be made at the variant level. If variants only reflect size (as in apparel), product-level recommendations are usually more useful.