B2BKing organises buyers into B2B groups stored as the b2bking_group custom post type, applies tier prices and minimum-order rules per group, and writes the resulting overrides into product postmeta with keys like b2bking_regular_product_price_ followed by the group id. Quote requests are also stored as posts with their own status workflow. SleekAI's data-source wizard maps all of those records into named variables the system message can reference at request time.

That means a logged-in B2B buyer assigned to the Gold Distributor group gets quoted the Gold Distributor unit price, the Gold Distributor minimum-order rule, and the Gold Distributor payment terms in plain language. A logged-out guest gets a public-friendly reply. A buyer in a different group gets their own numbers. Display conditions and multibot mode keep retail and B2B chat experiences separate on the same install.

For long catalogs and big quote histories, push older quotes into an OpenAI Files vector store of up to one gigabyte per file so the model retrieves only what matches the question. Every conversation is logged with model, tokens, and page URL inside WordPress, so the sales manager can audit what the bot told a buyer before a deal closes.

B2B buyers do not arrive curious, they arrive measured. They have a unit count, a budget, a payment term, and a delivery window. They will not chase down a missing price by writing a thoughtful email.

They will close the tab. A generic chatbot bolted on the storefront cannot read the B2BKing group on the logged-in account, cannot quote the per-group postmeta on the product, and ends up either over-promising on retail or under-helping. Either outcome costs the deal.

SleekAI removes that failure mode. The bot quotes the buyer's group price, references the minimum-order quantity, mentions the free-freight threshold, and offers to log a formal quote when the order is genuinely large. Each of those numbers is read at request time from the WooCommerce database B2BKing already maintains, so the bot is never out of sync with what the buyer would see at checkout.

There is also a real workflow upside. The B2BKing quote post type already exists, and the bot can create one under the buyer's account with a single tool call. That keeps the sales team's pipeline clean, attaches the conversation transcript as context, and gives the buyer an immediate next-step rather than a polite please email us reply that ends most chats.

Cost stays controlled too. SleekAI is a one-time plugin licence with no per-message markup. The AI calls run on the merchant's own provider key.

B2BKing licensing stays separate and the bot does not add markup on the underlying B2B prices it quotes. The chatbot is part of the same WordPress install everyone already opens to manage the B2B catalog.