E-Commerce AI Case Study: Cart Recovery

E-commerce stores face two common problems: abandoned carts and slow response to pre-purchase questions. With a small team, every inquiry answered by hand is time taken away from running the business — and many potential customers move on before hearing back.

The challenge

Pre-purchase questions about sizing, shipping, and return policies can sit for hours, and many customers don’t wait. Abandoned carts go unrecovered because there’s no system in place to follow up. Both are repetitive, high-volume workflows that follow predictable patterns.

The solution

We deploy a set of connected automations:

1. Abandoned cart recovery: A follow-up sequence triggered when a customer leaves without completing a purchase, with personalized product recommendations based on what was in the cart.
2. Pre-purchase inquiry: An AI assistant trained on the store’s product catalog, shipping policies, and return procedures that answers customer questions instantly.
3. Post-purchase follow-up: Automated order confirmation, shipping updates, and review requests.
4. Inventory alerts: Automated notifications to the team when popular items drop below restock thresholds.

What a deployment covers

• Abandoned cart recovery — structured follow-up sequences that re-engage customers who didn’t complete a purchase
• Pre-purchase Q&A — instant, consistent answers about sizing, shipping, and returns, trained on your actual catalog
• Post-purchase communication — order confirmations, shipping updates, and review requests sent automatically
• Inventory monitoring — the team gets notified the moment stock needs attention

The result is a store that follows up on every opportunity consistently — without anyone on the team having to remember to do it.