Retail & E-commerce
AI Recommendation Engine Drives 35% Higher Order Values for E-Commerce Brand
UrbanNest Home Goods
12 weeks
5 specialists
35%
Average Order Value Increase
18%
Cart Abandonment Reduction
28%
Revenue from Recommendations
Le défi
UrbanNest Home Goods had grown to $45M in annual online revenue but was seeing stagnating average order values.
Notre solution
We developed a hybrid recommendation engine combining collaborative filtering, content-based analysis, and real-time session behavior modeling.
Résultats mesurables
35%
Average Order Value Increase
Average order value rose from $87 to $117 within six months.
18%
Cart Abandonment Reduction
Cart abandonment dropped from 71% to 53%.
28%
Revenue from Recommendations
AI-driven recommendations now account for 28% of total online revenue.
« The recommendation engine feels like having a personal shopping assistant for every single customer.»
Michelle Torres
Head of E-Commerce, UrbanNest Home Goods
Client
UrbanNest Home Goods
Industrie
Retail & E-commerce
Durée
12 weeks
Équipe
5 specialists