How Agentic AI Increases Revenue Through Personalized Recommendations

The Problem With Traditional Upsells

Most recommendation tools show generic upsells or "popular products." They don’t factor in:

  • Customer history

  • Current cart context

  • Buying patterns

Agent AI changes that.


What Our Product Recommendation Agents Do

  1. Analyze browsing and cart activity in real time

  2. Check purchase history and LTV

  3. Recommend bundles, accessories, or higher-value alternatives

  4. A/B test suggestions and optimize results


Use Cases

  • Recommending waterproof gear if a jacket is added to cart

  • Suggesting a 3-pack instead of 1 item

  • Showing complementary items based on user segment


The Technology Stack

We integrate Shopify, customer data platforms (CDPs), and analytics into a fine-tuned AI engine that adapts continuously.


Results: $18 AOV Increase for Skincare Brand

One merchant saw an $18 increase in average order value after switching from a static upsell app to a real-time AI agent built by Acorn Strategy.


Next: Launching Your First Shopify AI Agent in 30 Days