Case Study


This industrial products distributor has embraced a market-leading digital approach for over 3,000 suppliers and over a million products. As one of the Internet Retailer Top 50, the company drives over half its $3B annual revenue from eCommerce.

To continue its digital innovation strategy, the company needed to simplify the shopping experience in categories that had hundreds of complex attributes. But which attributes mattered most? Key comparative shopping attributes for 1,000 categories would need to be chosen and transformed into dynamic gallery pages for display.


Earley Information Science (EIS) collaborated with the client to plan and prepare for production design, review and revision of over 1000 categories of dynamic digital catalog table views. Our team performed competitive analysis, customer behavior metrics, and evaluation of available product attributes for optimization. This approach allowed the company to select the attributes that would allow its customers to identify the products they wanted based on the features that were most important to them.


Attributes that clearly differentiated products were chosen for complex categories, and a dynamic table was developed to display them. These new gallery page layouts give shoppers an “at-a-glance” view across the most important characteristics for making purchase decisions. Category-specific dynamic table view schemas were applied to 80% of the online catalog. This new way of presenting information improved the customer experience by providing a way for shoppers to be more confident about their decisions and reducing “research fatigue.”