Talk to an Expert

Making Personalized Category Recommendations for Faster Product Discovery

Applicable Segment(s):

B2B, Fashion & Apparel, Supermarket, Department Store, Food & Grocery, Specialty, DNVB, QSR

Impacted Function(s):


Solution Area:


Making Personalized Category Recommendations on the Home Page for Faster Product Discovery

The Company

A leading European sourcing and services company that offers electrical, heating, plumbing, ventilation, and energy solutions.

The Challenge

  • This B2B retailer has over 2,000 categories they could present to their shoppers on the home page.
  • They wanted to show categories that are relevant and personalized to each customer. This would make the shopping journey more efficient.

The Approach

  • The retailer created a placement with category recommendations, based on the customer’s affinity, on the home page.
  • They created this placement using ‘Configurable Strategies’, a Recommend™ feature that helps implement custom personalization strategies using pre-built models.
  • In this case, the retailer chose the ‘Previous Purchases’ model and enabled category recommendations, which resulted in the placement getting populated with categories that the customer frequents or recently visited.
  • This placement helped customers find products of interest faster, thereby improving the shopping experience.

The ROI of Algorithmic Retail Solutions

Learn how our customers improved key business
metrics with our made-for-retail solutions.

Home Use Case

Personalized Category Recommendations On Home Page

Image link