CASE STUDY
Customize Product Discovery Experience with Bloomreach Recommendations
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.
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.
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.
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.
