Case Study: Leading eCommerce Retailer Company achieves higher AOV and revenue with Algonomy Recommend™

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Preview of the Leading eCommerce Retailer Company Case Study

How eCommerce Retailers Can Drive Revenue Growth with Strategic Product Bundles

Leading eCommerce Retailer Company sought to boost sales by increasing Items Per Order (IPO) and Average Order Value (AOV) through strategic product bundles while minimizing engineering overhead. They partnered with Algonomy and used Algonomy Recommend™ (with Dynamic Experiences) to deliver personalized, testable bundle experiences on product detail pages.

Algonomy implemented configurable AI-driven bundling, Advanced Merchandising and the Data Science Workbench to create compatible, editable and fully testable bundles without heavy front- or back-end work. The outcomes were measurable and significant: personalized bundles delivered up to +76% CTR and +40% IPVm (+16% RPVm) in one use case; compatibility-focused bundles drove +200% CTR, +162% IPVm and +400% RPVm in another; and health & beauty bundles lifted Revenue per Visit by +8.42% and AOV by +8.24%—clear evidence of Algonomy’s impact.


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