# LLMs and Automated B2B Data Exchange

DevFeed: [LLMs and Automated B2B Data Exchange](<https://devfeed.tech/articles/fun-reading-from-xml-to-llms-11293.md>)

Original publisher: [Read original article](<https://blog.ipspace.net/2025/11/worth-reading-xml-to-llm/>)

Published: 2025-11-29T06:53:00Z

Content type: opinion

Language: en

Sources: [ipSpace.net blog](<https://devfeed.tech/sources/ipspace-net-blog.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [systems](<https://devfeed.tech/topics/systems.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [articles](<https://devfeed.tech/tags/articles.md>), [automated](<https://devfeed.tech/tags/automated.md>), [b2b](<https://devfeed.tech/tags/b2b.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [data](<https://devfeed.tech/tags/data.md>), [llms](<https://devfeed.tech/tags/llms.md>), [systems](<https://devfeed.tech/tags/systems.md>), [worth-reading](<https://devfeed.tech/tags/worth-reading.md>)

## AI overview

The article discusses Avery Pennarun's claim that large language models might enable automated B2B data exchange at scale, while noting concerns about hallucinated invoice items.

## Source excerpt

In his latest blog post (Systems design 3: LLMs and the semantic revolution), Avery Pennarun claims that LLMs might solve the problem we consistently failed to solve on a large scale for the last 60 (or so) years - the automated B2B data exchange. You might agree with him or not (for example, an accountant or two might get upset with hallucinated invoice items), but his articles are always a fun read.