What ecommerce revenue leaks should AI agents help fix first ?

Hi Product Hunt,

I’m building NeuroCheckout, an AI agent platform for ecommerce teams.

The idea is to help online stores turn the signals they already have, such as carts, customers, products, emails, orders, and revenue data, into practical actions.

Instead of one generic chatbot, NeuroCheckout uses specialized self-learning AI agents for:

- abandoned cart recovery

- product recommendations

- email workflow automation

- customer segmentation

- upsell and cross-sell opportunities

- customer support operations

- business alerts and anomaly detection

I’m especially interested in one question:

What ecommerce revenue leak should AI agents help fix first ?

For example:

- abandoned carts

- weak product recommendations

- checkout friction

- poor customer segmentation

- generic email follow-ups

- revenue drops noticed too late

- missed upsell or cross-sell timing

Would love to hear how ecommerce founders, operators, and builders think about this.