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Odoo 20 For Online Sellers: AI Page Building, Click & Collect, And WhatsApp – CWare Technologies
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eCommerce

Odoo 20 For Online Sellers: AI Page Building, Click & Collect, And WhatsApp

CWare Technologies 3 min read eCommerce

If you sell online, a few real changes landed in Odoo 20 worth knowing about, all native to Odoo's Website, Sales, and Rental apps, with no separate platform needed.

The theme is simple: fewer disconnected tools between the moment a customer finds you and the moment the order is fulfilled.

An AI Assistant In The Website Editor

Odoo 20 builds an AI assistant into the website editor to help you create pages and content faster. Drafting a product landing page or refreshing category copy no longer means starting from a blank block.

Click & Collect Pickup Locations

Customers can choose a pickup location, reserve, and collect in person instead of waiting on delivery. Because it runs on the same inventory as the rest of Odoo, what the customer sees reflects what you actually have.

WhatsApp Where Your Customers Already Are

WhatsApp automation goes further in Odoo 20. Self-order receipts and interactive message templates are sent automatically, so confirmations reach customers on the channel they actually read.

  • ✓AI website assistant: Build pages and content faster inside the editor.
  • ✓Click & Collect: Pickup locations so customers can reserve and collect in person.
  • ✓Automated WhatsApp: Self-order receipts and interactive templates sent without manual effort.
If your storefront still runs disconnected from your inventory and accounting, these updates make that gap easier to close.

One System, End To End

The real gain isn't any single feature. It's that website, stock, sales, and messaging share one database, so there's no sync to break and no double entry between platforms.

This article is based on Odoo's official Odoo 20 release notes and documentation. Feature availability can vary by edition (Community or Enterprise), hosting type, and localization, so validate against your own database before planning a rollout.

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