CASE STUDY

Customize Product Discovery Experience with Bloomreach Recommendations


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Industry | Fashion and Retail
Technology | Bloomreach Recommendations
Location | USA

The client is an American fashion retailer. Founded in 1950, it is headquartered in Pennsylvania, USA, and operates in Canada and the United Kingdom. The client’s e-commerce portal has one store for each country it operates in and a separate one for international orders.

Industry | Fashion and Retail
Location | USA

The client is an American fashion retailer. Founded in 1950, it is headquartered in Pennsylvania, USA, and operates in Canada and the United Kingdom. The client’s e-commerce portal has one store for each country it operates in and a separate one for international orders.


By downloading this content, you are agreeing to receive communications from Royal Cyber, including our Insights newsletter.




Challenges

The client was using a solution that was time-consuming and did not deliver the expected and relevant results. Also, it did not have AI/ML capabilities or provide any insights, recommendations, or analytics.

How We Did It

Royal Cyber integrated Bloomreach Recommendations with the client’s ecommerce solution, aiming to improve customers’ product discovery experience. Bloomreach Recommendations is a customized, unified solution that adds recommendations and pathways to suit your business needs. Powered by AI-driven algorithms, it displays recommended products that allow customers to explore and discover more products, ensuring more engagements and conversions.

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Key Outcomes

Improved

Customer experience

Better Conversion

And AOV

Increase In

Cross-sell and up-sell opportunities

Case Study

Learn how the customers are provided with search recommendations based on their search behavior, ensuring a personalized shopping experience.

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