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Project Information

  • Name: Self-Learning Abandoned Cart Recovery Agent
  • Category: AI Automation
  • Client: A D2C fashion & lifestyle brand
  • Location: India
  • Delivered:

Tech Stack

  • n8n
  • Google Gemini
  • Google Sheets
  • Gmail
  • WhatsApp (Green API)
Self-Learning Abandoned Cart Recovery Agent

Standard abandoned-cart tools send the same generic reminder to everyone, with no memory of what actually worked for a given customer and no way to flag high-value carts for personal follow-up.

We built an n8n workflow that runs every 15 minutes, reads abandoned carts alongside customer history and a running recovery log, then hands each cart to an AI strategist agent that decides the best recovery approach based on what has worked before — choosing channel, tone, and whether to loop in the owner directly.

What we did

Here's how we approached A D2C fashion & lifestyle brand's project, step by step.

Runs every 15 minutes — reads abandoned carts, customer history and recovery log together

AI strategist agent picks an approach per cart using past outcomes (self-learning)

Auto-generated recovery email (Gmail) and/or WhatsApp message (Green API)

Separate owner-alert logic for high-value or flagged carts

Full attempt logging plus cart marked as sent to prevent duplicate outreach

Results & impact

  • Personalised, outcome-aware follow-ups instead of one-size-fits-all reminders
  • Owner gets alerted only when a cart genuinely needs personal attention
  • Fully autonomous recovery loop with zero manual monitoring
  • Reusable pattern — pluggable into any store on Shopify, WooCommerce or custom stacks

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