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AI10 min read

Predicting AOV in real-time and merchandising around it

Lightweight in-cart prediction that drives bundle and free-shipping prompts dynamically.

Predicting AOV in real-time and merchandising around it

Real-time AOV prediction lets you merchandise the cart dynamically: prompt the right bundle, show the right shipping threshold, recommend the right cross-sell.

The model

Lightweight client-side model trained on historical orders by cohort. Inputs: product mix, customer segment, time of day, device. Output: predicted final-order value.

What you do with it

  • If predicted AOV is below brand target → show free-shipping nudge.
  • If predicted AOV is above target → show cross-sell.
  • If cart contents suggest a bundle is incomplete → prompt the bundle.
Personalization without a model is just hard-coded rules.
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