Retail / CUSTOMER STORY

AI-Powered Personalization for E-commerce

We implemented a GenAI and predictive analytics solution that analyzed customer history to deliver personalized product recommendations and dynamic promotional offers in real time.

01 / challenge

The starting point.

An online grocery store struggled to provide personalized product recommendations, leading to a generic user experience and lower cart values.

02 / solution

Making the connection.

We implemented a GenAI and predictive analytics solution that analyzed customer history to deliver personalized product recommendations and dynamic promotional offers in real time.

Project study / 05
Customer signals inform tailored recommendations across a commerce journey.CUSTOMER SIGNALSRECOMMENDATIONS
Illustrative architecture. Customer signals inform tailored recommendations across a commerce journey.

03 / outcome

What changed.

The AI engine led to a 10% increase in average order value (AOV) and a 25% increase in customer lifetime value.

Project description and reported outcomes reproduced from IntVerse’s existing customer story.

Keep exploring

The next connection.

Have a similar challenge?

Tell us about your systems, your teams, and where you want to go next.

Discuss your project

Work with IntVerse

What needs
to work better?

Tell us about the systems, processes, or decisions holding you back.

Start a conversation