Cart recovery is usually handled by static flows: wait a fixed amount of time, send a template, then hope it applies. Tranthor treats cart recovery as a live customer moment. Agents review the shopper, cart value, product context, and recent behavior before drafting the next step.
The result is a cart recovery workflow that still gives marketers control, but removes the blank-page work of writing and maintaining every variation by hand.
AI cart recovery agent vs static cart flow
| Dimension | Tranthor | static cart flow |
|---|---|---|
| Audience | Prioritizes carts by context and recovery value | Uses fixed trigger rules and broad segments |
| Message | Drafts copy around the shopper and products | Sends the same template unless manually split |
| Timing | Adapts timing to customer and regional context | Waits a fixed number of hours or days |
| Control | Human approval before launch by default | Manual setup, then automatic execution |
What the agent detects
The cart recovery agent looks for high-intent shoppers who left before checkout. It can prioritize carts by value, product type, customer history, and timing so teams review the moments most likely to recover revenue.
- Abandoned carts from new or returning shoppers.
- High-value carts that deserve faster review.
- Repeat customers who may need a different message than first-time visitors.
- MENA timing and language needs when Arabic or regional send windows matter.
What the campaign draft includes
Tranthor drafts the audience, message, timing, and campaign structure. A marketer can approve the campaign, edit the copy, or ask the agent to revise the approach before anything sends.
Why this is different from a static flow
Static flows treat every abandoned cart like the same event. An AI agent can use the shopper's context to decide whether the next step should be a reminder, a product-specific message, a VIP-style follow-up, or no campaign at all.