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Real-time product recommendation engine driving higher AOV.
A fashion retailer had a high bounce rate and low average order value (AOV). Users were overwhelmed by the catalog size.
We built a personalization engine that analyzes user behavior in real-time (clicks, hover time) to dynamically reorder the product grid and suggest complementary items.
"Personalization is the difference between a warehouse and a boutique. Our AI treats every visitor like a VIP, curating the store just for them. By showing users exactly what they want before they even search for it, we unlocked massive revenue growth."
Implemented granular tracking of user intent signals.
Deployed a low-latency API to serve personalized results.
Ran continuous experiments to optimize the algorithm.
$35k - $55k
*Estimated range for similar projects. Final cost depends on specific requirements.