Ecommerce ops · Production
Perry Ellis seeks to unify Nosto segmentation with site search for a personalized shopping experience
The problem
Perry Ellis needed both hyper-relevant search results across diverse query types (including color and fabric) and the ability to apply their existing Nosto segmentation capabilities within search — a combination their previous search provider could not deliver.
First attempt
Perry Ellis's previous search provider could not integrate the segmentation capabilities they were already using in Nosto for category merchandising.
Workflow diagram · grounded in source
1
Shopper affinity segmentation
ai_action
“shoppers with an affinity for formalwear experience different category pages than shoppers with an affinity for casualwear”
2
Category page personalization
output
“utilizing Nosto to personalize parts of their website, specifically through Segmentation & Insights to inform their Category Merchandising”
3
Search personalization gap identified
trigger
“To create a complete and cohesive personalization experience, they wanted to bring these segmentation capabilities into their search feature, which they weren't able to do with their previous search provider”
Reported outcome
(not stated)
Reported stack
NostoSegmentation & InsightsCategory Merchandising
Frequently asked questions
What did this team achieve with this AI workflow?
(not stated)
What tools did this team use?
Nosto, Segmentation & Insights, Category Merchandising.
What failed first in this deployment?
Perry Ellis's previous search provider could not integrate the segmentation capabilities they were already using in Nosto for category merchandising.
How is this ecommerce ops AI workflow structured?
Shopper affinity segmentation → Category page personalization → Search personalization gap identified.