u/MZW-Log-9640

We built an AI ordering layer for Magento over the last months and have now open sourced the storefront chat part of it. OSL-3.0.

The customer writes in normal language, the module searches the catalogue by meaning instead of keywords, checks stock and the price for that customer's group, and can put things in the cart or place the order through Magento's normal services. The model returns structured tool calls, and every tool (add to cart, checkout, coupon, wishlist, address changes and so on) can be switched off individually in the admin.

Things that took the most work and are probably the interesting part:

Search results are enriched with live stock and tier prices before they go into the prompt, so it does not recommend something that is out of stock or quote a price the customer will not actually get.
It keeps conversation context and detects topic changes, so a short "yes, ten of those" resolves against the previous turn instead of drifting back to some older product.
Every model call is logged with tokens and cost.
The widget works on Luma and Hyvä, and is FPC safe.

One thing people do not expect from a chat widget: you can drop a file into it. Someone uploads a PDF quote, an Excel order list or a Word document with 30 positions, and the module pulls the line items out of it, matches each one against the catalogue and builds the cart from that. Excel and Word get parsed to text, PDFs are handed to the model as native document blocks so it reads the positions itself. Built that because our B2B customers order from spreadsheets and never want to see a product page.

What it does not do: anonymous visitors. The chat requires a logged in customer, because most of what makes it useful comes from knowing their order history, addresses and cart. You also need your own API keys, Anthropic for the model and Voyage plus Pinecone for the search.

It is v1.0.1, tested with Magento 2.4.8. Our catalogue is B2B with a lot of near identical variants, so I would be curious how the search behaves on catalogues that are built differently.

https://github.com/Zwernemann/magento2-chat

The checkout threads here are mostly about first-time buyers, where UX clearly matters. But for B2B repeat accounts I keep seeing a different thing: someone who orders the same parts every month doesn't want a nicer funnel, they just skip the shop and send their order by email, WhatsApp, or call the sales rep. The order still happens, it just never shows up as a conversion.

So instead of optimizing the checkout for those buyers, the idea is: the customer sends their order the way they already do it anyway — a PDF, an Excel sheet, a normal email, or a WhatsApp message — and it gets turned into a real Magento order automatically. No login, no funnel. For someone who already has their order list in a spreadsheet, attaching that file and being done is just much faster than clicking through a storefront.

I have a working prototype running for one client and it caught already a number of orders that used to go around the shop completely.

Two things I'd really like input on:

Does this match what you see, or am I overestimating how much volume goes around the storefront?
The repo is private for now, but I think about opening at least the Magento-side core (the part that turns an incoming order into a real Magento order). Would that be useful for you — and would someone be interested in poking at it with me?

It's early and I'd honestly rather hear where the idea breaks before I build more on top of it.

Free and open source AI chat module for Magento 2

For B2B repeat orders, is the best checkout no checkout? (built a prototype, want honest opinions)