Product Customizer for WooCommerce by Acowebs stores its option groups and per-option fields in custom database tables and wp_postmeta against the linked product. Each option carries a field type (text, select, radio, checkbox, file upload, date, swatch), a fixed or percent price modifier, conditional show or hide rules, and validation constraints. SleekAI maps those records into named variables the chatbot uses on every request, so the bot quotes engraving, gift wrap, monogram, or material fees with the exact numbers the WooCommerce cart will apply.

The widget reads the current product and active variation, so the bot understands which option group is attached and which fields are currently visible. Display conditions scope the widget by post type, taxonomy term, user role, login state, and URL pattern, so heavily customized products run a specialist bot under multibot. The bot also reads the cart through the WooCommerce session, so it can describe how customization fees stack on top of the base price heading into checkout.

Every conversation is stored inside WordPress with model, token usage, and page URL. Combine that with the JS API and PHP embed and the bot can launch from a sticky help icon, a customizer tab, or a custom Bricks element without rebuilding the form code.

Personalization plugins lift average order value by double digits, but only when shoppers can navigate the customizer without friction. Product Customizer for WooCommerce can carry deep option groups: engraving, monograms, gift wrap, file uploads, color swatches, and conditional fields. A generic chatbot has no view of the option group, no idea which field is currently active, and no clue why an add-to-cart click silently failed.

It either refuses to help or quotes a customization fee that does not match what the cart will actually charge. That mismatch is one of the largest leaks in customizer-driven WooCommerce stores: shoppers configure for several minutes, hit a silent validation error, and bounce. Product Customizer already stores the entire form, the price modifiers, and the conditional logic as structured data, and WooCommerce already knows the active product and variation.

SleekAI does the wiring that turns those records into accurate, real-time answers, on a model and key the merchant pays for directly.