Aarya Krrish.
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The distributor is learning to talk to agents.

Ingram Micro has opened Xvantage up to the AI tools partners already use. I work there, so I'm biased, but I've been reading every update like a fan.

A quick note before I start: I work at Ingram Micro, in the data capture and POS team here in the UK. So yes, I’m biased. Everything below comes from public announcements and the trade press, not from anything I’ve seen at my desk.

But I’ve been reading these updates the way some people follow transfer news, and I wanted to write down why.

The short version

In August, Ingram Micro announced the Xvantage Integration Hub, with a secure MCP server inside it. MCP is a standard way for an AI assistant to plug into a business system. In plain English: a reseller can point the AI tool they already use at our systems and ask questions in normal language. What’s in stock. What a quote would look like. Where an order has got to.

The line that stuck with me came from Sanjib Sahoo, who runs the platform side, talking to Channel Insider: “We’re not building another chatbot.” The point is to connect what’s already been built to the assistants partners already use.

Then in October came a US patent for what the company calls a vendor and customer agnostic framework. The idea is that partners connect with the systems and formats they already have, instead of someone building a custom integration every single time. Catalogues, quotes, orders, invoices, claims.

Why it excites me

I wrote recently that AI agents don’t know your partners yet. A general chatbot can tell you what a scanner does. It can’t tell you whether your reseller can get forty of them by Friday, at their price.

That gap is the whole story. The useful information in distribution lives in systems: stock, pricing, lead times, order history. If AI can’t reach those systems, it’s guessing. If it can, it’s working.

This is a distributor saying: fine, let the agents in. Properly, and securely.

What partners say so far

The early numbers come from partners themselves, so read them as testimonials rather than research. techpartner.news reported that one US partner expects to save between 1,000 and 1,500 hours this year. Another says quotes that used to take hours, sometimes days, now take seconds.

Quoting is the bit that rings truest to me. A lot of my day is helping partners pull together the right kit at the right price. A quote is rarely hard. It’s slow, because the answers sit in five different places. If an assistant can gather them in seconds, the human conversation starts sooner, and it can be about the customer instead of the spreadsheet.

What I’ll be watching

Whether smaller partners use it. The coverage suggests smaller MSPs could gain the most, because they never had the people to build custom integrations. That’s where I’d love it to land: a two-person reseller suddenly moving at the speed of a big one.

Whether it stays human where it matters. An agent fetching a quote doesn’t change who the customer trusts. Somebody still needs to say “that’s the wrong printer for a freezer warehouse”.

Whether product data keeps up. A distributor can open the door, but an agent is only as good as the data it finds behind it. As I keep saying, the scanner is the first prompt.

I’ve been in this industry long enough to be wary of shiny announcements. This one feels different because it’s boring in the best way: plumbing, standards, connections. And plumbing is what actually changes how work gets done.

Good plumbing beats a clever chatbot.

Aarya smiling on a boat at sunset

Written by Aarya Krrish.

Ten years in sales and marketing across Sri Lanka, Australia and England. I sell technology through the channel for a living, and write about where AI is taking the people who sell it.

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