AI Recommendation Engine Drives 35% Higher Order Values for E-Commerce Brand
35%
Average Order Value Increase
18%
Cart Abandonment Reduction
28%
Revenue from Recommendations
UrbanNest Home Goods had grown to $45M in annual online revenue but was seeing stagnating average order values.
We developed a hybrid recommendation engine combining collaborative filtering, content-based analysis, and real-time session behavior modeling.
Measurable Results
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
Industry
Retail & E-commerce
Duration
12 weeks
Team Size
5 specialists