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Paul Bay
Chief Executive Officer, INGRAM MICRO INC

How Ingram Micro Is Using AI to Transform the Global Channel

📅 Nov 17, 2025 HyperFRAME Research 9 MIN 186 VIEWS 21 SEGMENTS · 2 SPEAKERS
In this episode of the HyperFRAME Podcast — produced in collaboration with Ingram Micro — Steven Dickens sits down with Paul Bay, CEO of Ingram Micro, to explore how AI is fundamentally reshaping the global channel ecosystem. Paul explains how Ingram Micro is leveraging three years of AI investment, more than 400 machine-learning models, and a mature data foundation to transform partner operations, reduce cost-to-serve, and unlock new revenue opportunities. From AI Assist and intelligent demand generation to Xvantage, their single-pane-of-glass platform, this conversation breaks down how dis...

Questions asked in this interview

7
  1. 0:10Really fantastic sort of insights coming from the keynote stage, but can you contextualize those for us?
  2. 1:52What are you seeing and how do you unlock?
  3. 3:49What are those other wrap services and products that you can add around it?
  4. 4:33Where are you seeing AI as customer zero deploying that within Ingram to really drive your productivity and your efficiency?
  5. 6:33Do you think then there's still a ways to go on how you can drive that productivity?
  6. 7:36In a few words, how would you sort of characterize that offering and its strategic nature to what you're doing?
  7. 8:32How would you recommend that they engage with Ingram?
Steven Dickens 0:02 ↗
Hello and welcome. I'm Steven Dickens, and you're joining us here at Ingram Micro's ONE event. I'm chatting with Paul Bay. Hey, Paul.
Paul Bay 0:09 ↗
Good afternoon, Stephen.
Steven Dickens 0:10 ↗
So, fascinating couple of days so far. Obviously AI is really central. Tell us a little bit about what Ingram's doing to leverage the power of AI and really infuse the channel. Really fantastic sort of insights coming from the keynote stage, but can you contextualize those for us?
Paul Bay 0:28 ↗
Yeah, there's a couple of things we're focused on. One is how we're using AI. So, we call that AI assist. And the other is how we help our partners understand, sell, and service AI. So, let me talk about the first one. We've been on this three-year journey around AI. So, it's not just new for us.
Steven Dickens 0:46 ↗
So you didn't dive on the bandwagon too late.
Paul Bay 0:49 ↗
No, we actually took our foundation when we hired Sanjie and he hired some experts. The first thing was about the journey, mapping out where we end up. That first one was all about the data. So being a 46-year-old company doing $50 billion and having many, many terabytes of data, that's great. The issue becomes what do you go do with all of that? So what we did is we got all of our data into a data mesh. And for the first year we didn't talk a whole lot about Xvantage and the platform and what we were doing. So that was the key element, number one is get the data right. Number two is the team started putting the AI models together. So we have more than 400 AI models, machine learning models that we brought together. And the good news is they've been training.
Steven Dickens 1:36 ↗
Because as we continue to talk about, it's not necessarily going to be perfect right out of the gate.
Paul Bay 1:38 ↗
And the third step is kind of where we are now, is how do you journey map that to actually bring it to Agentic. And we just announced last week in our earnings call the partnership we got with Google Gemini to really empower...
Steven Dickens 1:52 ↗
That builds on co-pilots as well. You've made announcements there in the past. So really key collaborations. I think taking back to some of that data piece, having met with Sanjie yesterday, having that four petabytes of data based on the 46 years of operations is key. But it's what you do with it, how you unlock it. To me, obviously hundreds and thousands of channel partners globally, interacting with you daily, using you as a key part of their deal flow. How do you unlock that for some of those partners? How do you provide that insight? How do you look at purchase history, be able to suggest and make some of those recommendations? What are you seeing and how do you unlock?
Paul Bay 2:37 ↗
A great opportunity for us is we kind of have a three-step journey. And the second one is what we call really demand generation for our partners. And so once we've got all of the internal streamlined systems together, we freed ourselves up to now focus on the partner. And so what we're able to do is bring all of the data that we have. And so we got a product that we talk about, a system that we talk about called IDA, Intelligent Digital Assistant. I think it's the best example of this first step into this. And what we're doing for partners is if Stephen brings us an open purchase order for a quote that's in the system, we can now take that data, we have more than 40 inputs on that data that says here's what your open order is. We know based off of what the end user's history is, based off of what you're selling, that we can proactively reach out and say that end business has the propensity to buy, may pick up in the next five days. And so now we're providing that data and we're saying in addition to that, here's a recommendation of what you should be adding on to that. So we're being proactive. This industry's been very point A to point B and reactive. And so we're really freeing up the internal time to really focus on our partners and provide them valuable insights and data to help them be more effective with their business.

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Cite this transcript

APA, MLA, BibTeX
APA

Bay, P. (2025, November 17). How Ingram Micro Is Using AI to Transform the Global Channel [Interview transcript]. HyperFRAME Research. CEOInterviews.AI. https://ceointerviews.ai/interview/1015761/

MLA

Paul Bay. "How Ingram Micro Is Using AI to Transform the Global Channel." HyperFRAME Research, 17 Nov. 2025. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1015761/.

BibTeX
@misc{bay2025_1015761,
  author       = {Paul Bay},
  title        = {How Ingram Micro Is Using AI to Transform the Global Channel},
  howpublished = {Interview transcript, HyperFRAME Research. CEOInterviews.AI},
  year         = {2025},
  month        = {nov},
  url          = {https://ceointerviews.ai/interview/1015761/},
  note         = {Speaker-attributed transcript with timestamps}
}