20 AI Use Cases for eComm Founders

A recent publication from McKinsey & Company named seven imperatives for rethinking retail, and every single one could be supported by some type of AI-informed technology.

As we talk, AI for ecommerce is already delivering more than a 25% improvement in customer satisfaction, revenue, or cost reduction for thousands of eCommerce stores.

HOWEVER -

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses.

To avoid this, it’s crucial for businesses to carefully plan automation initiatives that prioritize the needs and preferences of their customers.

And this is what we are discussing in our next live session:

1. Top areas where you should use AI—ones that’ll have the most impact on your conversion rates
2. Real-world successful applications of AI on eComm stores, and what we can learn from them