Maximize sales, satisfaction, and support for your online store
Running an ecommerce AI chatbot requires specific best practices to maximize sales and customer satisfaction. Vatdi is built for ecommerce with catalogue sync, order status lookup on the platforms that have a plugin, and lead capture. The practices below are about getting accurate answers out of your own data, which is the part that decides whether shoppers trust what the chatbot tells them.
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Sync your entire product catalog including descriptions, pricing, variants, and stock levels. The more product data the AI has, the better it can assist shoppers. The native plugins for WooCommerce, OpenCart, PrestaShop, Magento, Shopware, Joomla and Drupal Commerce sync the catalogue for you. On Shopify the AI trains on your pages, collections and policies instead, because there is no catalogue API sync there.
Place the chatbot on product and cart pages, and use the hide-on-pages rules to keep it off anywhere it gets in the way, separately for desktop and mobile. There are no exit-intent or cart-abandonment triggers to configure, so put the effort into quick replies and into training the AI on objection-handling content.
Enable order status lookup if your platform has a Vatdi plugin: the customer gives an order number plus the email or phone on the order, and gets the status your store holds. It is not carrier tracking, and it is not available on Shopify. Train the AI on your return and exchange policies for everything else.
Train the AI on your complete product catalog for accurate recommendations
Set a welcome message and quick replies that match what shoppers ask most
Answer post-purchase questions, including order status where a plugin is installed
Capture leads in chat or a pre-chat form, with an instant email to your team
Product catalog sync is essential. A chatbot that does not know your products cannot help shoppers effectively. Vatdi syncs your catalogue through the plugin on the platforms that have one.
Yes on most of them, but you get page rules rather than per-page behaviour: you can hide the widget on chosen pages, separately for desktop and mobile, which most stores use for checkout. The welcome message, quick replies and follow-up delay are set once for the store.
Review flagged conversations in the Vatdi dashboard, correct the training data, and retrain. The AI improves with each iteration.
There is no upsell or cross-sell engine. What the AI does is answer from your catalogue and show matching products as cards with image, price, sale price while a sale is on, and a link. If your plugin sends sales data it can also rank best sellers by units actually sold.
Vatdi does not attribute revenue or recovered carts. Use what the reports do hold: conversation volume, the questions asked most, leads with a 1 to 5 trust rating, visitor ratings and per-answer thumbs, and a 0 to 10 quality score on each conversation with advice on what to fix.
Deploy an AI chatbot trained on your own data in under 5 minutes. No credit card required.
