Ecommerce Coffee Break artwork

How to increase revenue with AI driven recommendations | #109 Gokul Muralidharan

Ecommerce Coffee Break · with Gokul Muralidharan · September 15, 2022 · 22 min

Summary

This episode, featuring Gokul Muralidharan, explains how AI-driven recommendation engines can significantly boost revenue for ecommerce stores by personalizing the customer journey. It highlights the importance of moving beyond basic recommendations to leverage sophisticated AI for increased average order value and customer satisfaction. Ecommerce operators will learn strategies to implement and optimize these tools for tangible business growth.

Key takeaways

Themes

ai in ecommerceconversion rate optimizationpersonalization

Topics covered

ai recommendation enginesaverage order value (aov) improvementecommerce conversion strategiespersonalized product recommendationsshopify app recommendationsupselling and cross-selling with ai

Episode description

In this episode, I talk with Gokul Muralidharan, CEO of Argoid.ai, about how to increase revenue with AI-driven recommendations. Gokul combines business savvy and strong engineering skills as the CEO and Co-Founder of Argoid - a leading AI-driven recommendation engine for eCommerce on Shopify. Argoid’s product recommendations boost average order value & conversion, improving retention for Shopify companies. This episode is sponsored by Fluorescent, a Canadian-owned design agency who hav...

Frequently asked about this episode

What does this episode say about ai in ecommerce?
Implement AI-driven recommendation engines to personalize product discovery and increase conversion rates.
What does this episode say about conversion rate optimization?
Focus on leveraging AI for more sophisticated recommendations than basic "frequently bought together" suggestions.
What does this episode say about personalization?
Utilize AI recommendations to improve average order value (AOV) by suggesting relevant upsells and cross-sells.
What does this episode say about ai in ecommerce?
Regularly analyze the performance of your recommendation engine and refine its algorithms for continuous improvement.
What does this episode say about ai in ecommerce?
Consider integrating AI recommendations across various customer touchpoints, from product pages to email campaigns.

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