Boutique stationery customers do not ask if you sell wedding invitations. They ask whether the Magnolia suite is available in rose gold foil, whether the response cards are printed on the same 110lb cover stock as the main invitation, and whether the rush option still hits a six-week wedding date if they finalize wording by Friday. Those questions tie to specific design names, print methods, paper weights, and production calendars. Generic chatbots trained on category copy give vague answers and lose the deposit.

SleekAI reads the WooCommerce structure most stationery shops already use. Design names live as product titles or tags in wp_term_taxonomy, print methods (digital, letterpress, foil, thermography) live as variation attributes, and paper weight plus stock color live as wp_postmeta fields. Custom-order lead times are typically stored as a postmeta value on each design. SleekAI's data mapper reads the active variant when answering, so a Magnolia rose gold question quotes the right surcharge and the current week's production lead time.

The other half is the personalization conversation. Customers ask about minimum order quantities, sample availability, design customization fees, envelope addressing options, and proofing rounds included. Those answers live in your shop policies, FAQ posts, and custom postmeta. SleekAI exposes them all at answer time so the bot quotes your own pricing and policies, not a guess based on industry averages.

A boutique stationery purchase is a slow, considered decision. A bride spends weeks comparing suites, foils, and paper weights. She emails questions late at night between vendor meetings.

She wants to feel the paper before committing to a $1500 invitation order. A generic chatbot that gives vague answers about wedding stationery quickly loses her interest. She wants specifics.

The Magnolia suite in rose gold foil at $6.05 per piece, with a current six-week lead time, available with a $145 rush option, on 110lb cotton cover stock. Those are the details that convert. SleekAI reads them all from the WooCommerce structure the shop already maintains.

Print method as an attribute, paper weight as postmeta, lead time as a weekly-updated postmeta field, rush surcharge as an upsell variation. The bot quotes the studio's actual pricing and the print queue's actual current capacity, not a generic answer pulled from training data. The bride gets the precise answer she would have gotten from the owner during business hours, except the chat is open at 11pm.

The shop gets a log of every pre-sale conversation, which surfaces patterns in foil color demand, paper weight preferences, and timing concerns. That data feeds the next collection launch, the next paper buy, and the next round of sample packs the studio sends to wedding planners.