Building an AI Commerce Assistant for Magento B2B Using Natural Language Queries

On November 13, 2026 at 13:54, DEV Community published an article in its AI section titled "How to Build an AI Business Assistant for Magento B2B with Natural Language Queries," outlining a method for assembling an AI business assistant on top of the Magento B2B platform by pairing it with conversational AI.

The piece explains that the approach connects the structured eCommerce data held in Magento B2B to conversational AI, letting users pull the business intelligence they need by simply asking questions in natural language. According to the article, a Magento B2B store accumulates large volumes of structured business data, including company accounts, customer records, products, orders, pricing information, inventory details, and sales history. All of this data already sits inside the platform, yet turning it into usable insight has traditionally demanded dashboard navigation, manual filtering, report generation, or a grasp of the underlying data structures. With conversational AI wired in, users can query that information directly in natural language and skip those cumbersome steps, making business data far easier to reach.

The report remains at the level of a solution walkthrough; the available material contains no mention of real-world deployments, customer adoption, or any later developments, so the initiative's current status beyond the initial proposal is not documented.