Problem Statement

Despite strong traffic and a wide product catalog, the retailer struggled with low conversions and high cart abandonment. Traditional recommendation engines relied on static rules and past purchase data.

Key Challenges

• Generic product suggestions

  that didn’t reflect live browsing or in-the-moment intent.

• Missed opportunities

  to engage customers during critical buying moments.

• Low click-through rates (CTR)

  on product recommendations.

• High cart abandonment due

  to irrelevant or poorly timed recommendations.

• A widening gap in real-time

  personalization compared to competitors.

Solution Implemented

Credencys implemented the AI-powered Real-time Affinity Accelerator, enabling the retailer to deliver hyper-relevant product recommendations in real time.

• Data Unification: Integrated eCommerce interactions, CRM, and digital behavior data into a single customer view.

• Real-time Affinity Scoring: AI models continuously analyzed live browsing, clicks, and cart activity to update product affinity scores instantly.

• Personalized Experiences: The accelerator powered dynamic recommendations across product detail pages, shopping carts, and email campaigns.

• Seamless Integration: The solution was deployed within the existing eCommerce platform without disrupting ongoing operations.

Business Impact

Within three months of implementation, the retailer achieved measurable growth:

• +28% increase in conversions

  from personalized product recommendations.

• 15% higher engagement rates

  on recommended products compared to static recommendations.

• Significant reduction in cart abandonment,

  as customers were shown relevant alternatives and add-ons.

• Faster time-to-value,

  with results delivered in weeks instead of months.