AI-Powered Product Recommendation Engine for E-commerce

Boosting conversions and AOV with hyper-personalized, conversational recommendations.

Overview

A fashion e-commerce platform wanted to improve product discovery and reduce bounce rates. We implemented a GenAI Recommendation Assistant that helps shoppers find products through conversation, preferences, and real-time data — not just filters and search bars.

The Challenge

Shoppers often got lost in category pages or abandoned carts due to choice overload. Traditional recommendation engines lacked context and couldn’t adapt to customer intent in real time.

The Solution

SphereIQ’s AI Shopping Assistant:

  • Engages users in natural conversation (e.g., “I’m looking for something for a summer wedding”)
  • Pulls product suggestions from live inventory and style metadata
  • Explains product fit, material, reviews, and pricing
  • Learns shopper preferences and adapts over time

The result: a shopping experience that feels like talking to a knowledgeable store associate.

The Results

18%

 increase in conversion rate

25%

boost in average order value (AOV)

Reduced cart abandonment and improved time-on-site

Higher customer satisfaction with shopping experience

Let’s Build Your First (or Next) AI Win