Increase conversion rates and basket size with journey-aware personalized product recommendations
Our extensive selection of recommendations targeted every stage of the customer journey grow revenue and increase customer engagement in all touchpoints.
Save time and let the algorithms do the heavy lifting
Analyzing customer behavior data our trends and seasonal aware algorithms enables you to deliver on your customers’ expectations of a personalized shopping experience
Specialized recommendation types
A comprehensive library of recommendation types surfaces relevant products targeting user, context and place on site/app. Shopper-based, item-based, content-similarity based, contextual-popularity based recommendation types are all part of Relewise.
Shopper-based | Personal product recommendation, Recently viewed products, Sort products, Sort variants |
Item-based | Purchased with product, Purchased with multiple products, Purchased with current cart, Products viewed after viewing product |
Content similarity-based | Similar products, Custom products recommendations |
Contextual popularity-based | Popular products, Popular search terms recommendation, Search term based product recommendation |

Build for an omnichannel-world
Customers expect a uniform personalized experience in all interactions – that is what Relewise delivers. The Relewise architecture makes is easy to integrate into any channel be it web, apps, newsletter, POS systems, digital marketing channels etc.
Merchandising
A rules-based merchandising center allows business users to boost or bury products in personal recommendations. I.e., boost products to clear inventory or guide shoppers towards high-margin products and bury out-of-stock products
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Shopper-based | Personal content recommendation |
Item-based | Products viewed after viewing content, Content viewed after viewing content, Content viewed after viewing product, Content viewed after viewing multiple products |
Content similarity-based | Similar content |
Contextual popularity-based | Popular contents |
Full support for content recommendations
Content plays an important part in the customer journey as landing pages, research material, inspiration, reassurance etc. Relewise also supports content recommendation types both content to content and between content and products
Developer friendly
Content plays an important part in the customer journey as landing pages, research material, inspiration, reassurance etc. Relewise also supports content recommendation types both content to content and between content and products
