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B2B eCommerce Show - AI Will Replace Your Job?  Not So Fast!  Practical AI Uses in Manufacturing and Distribution with Nick Pericle

AI Will Replace Your Job? Not So Fast! Practical AI Uses in Manufacturing and Distribution with Nick Pericle

02/25/25 • 79 min

B2B eCommerce Show

Guest: Nick Pericle
Host: Justin King
Key Takeaways:
AI is Not Deterministic—It’s Probabilistic
Unlike traditional software, AI doesn’t always produce the same result for the same input. This unpredictability challenges how people perceive technology and requires a mindset shift.
AI as a Business Partner, Not Just a Tool
AI isn’t just for automation—it can act as a collaborator, strategist, and assistant to enhance productivity, decision-making, and creativity in business.
Adoption Requires Breaking Old Paradigms
Many businesses struggle with AI adoption because they expect it to function like existing software. Organizations must rethink their workflows and encourage hands-on experimentation.
AI Competency Varies Within Teams
When rolling out AI initiatives, leaders must recognize that some employees are advanced users while others are hesitant. Tailored training and use case-based workshops help bridge this gap.
AI Can Cut Research & Admin Time Drastically
Tasks like proposal writing, research, and internal communication can be streamlined with AI, reducing hours of work into minutes while maintaining high-quality output.
Executives Should Foster a Culture of Experimentation
Leaders don’t need to be AI experts, but they should empower their teams to explore, test, and integrate AI into their daily workflows to drive innovation.
Future of AI in Distribution & Manufacturing is Huge
AI-driven insights can optimize pricing, product content management, and customer interactions, giving companies a competitive edge in an increasingly digital landscape.

Show Links

How to Connect with Nick Pericle:

LinkedIN: Nick Pericle

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Guest: Nick Pericle
Host: Justin King
Key Takeaways:
AI is Not Deterministic—It’s Probabilistic
Unlike traditional software, AI doesn’t always produce the same result for the same input. This unpredictability challenges how people perceive technology and requires a mindset shift.
AI as a Business Partner, Not Just a Tool
AI isn’t just for automation—it can act as a collaborator, strategist, and assistant to enhance productivity, decision-making, and creativity in business.
Adoption Requires Breaking Old Paradigms
Many businesses struggle with AI adoption because they expect it to function like existing software. Organizations must rethink their workflows and encourage hands-on experimentation.
AI Competency Varies Within Teams
When rolling out AI initiatives, leaders must recognize that some employees are advanced users while others are hesitant. Tailored training and use case-based workshops help bridge this gap.
AI Can Cut Research & Admin Time Drastically
Tasks like proposal writing, research, and internal communication can be streamlined with AI, reducing hours of work into minutes while maintaining high-quality output.
Executives Should Foster a Culture of Experimentation
Leaders don’t need to be AI experts, but they should empower their teams to explore, test, and integrate AI into their daily workflows to drive innovation.
Future of AI in Distribution & Manufacturing is Huge
AI-driven insights can optimize pricing, product content management, and customer interactions, giving companies a competitive edge in an increasingly digital landscape.

Show Links

How to Connect with Nick Pericle:

LinkedIN: Nick Pericle

Previous Episode

undefined - Secrets to Building a High-Performance Product Content Team with Anthony Testa

Secrets to Building a High-Performance Product Content Team with Anthony Testa

Structuring a World-Class Product Content Team with Anthony Testa

Guest: Anthony Testa, Product Content and Supplier Relations Expert
Host: Justin King

Key Takeaways:

  1. The Wild West of Product Data:
    • Early on, most manufacturers and distributors lacked structured product content, leading to inefficiencies.
    • Attempting to migrate legacy data into new systems without cleansing often results in failure.
  2. The Role of PIM and Data Standardization:
    • Implementing a Product Information Management (PIM) system is crucial, but the real value comes from data standardization.
    • Content must be consistent across customer-facing platforms (web, catalogs) and internal systems (ERP, logistics).
  3. Building an Effective Product Data Team:
    • Data Operations Team: Engages with suppliers, collects, and processes product data.
    • Data Governance Team (The "Data Police"): Ensures compliance with taxonomy and formatting rules before publication.
    • Supplier Relations: Working closely with manufacturers to enforce data quality and consistency.
  4. Challenges in Supplier Data Compliance:
    • Many suppliers struggle to format product data correctly, relying on sales teams who lack expertise in content management.
    • Larger manufacturers like 3M and Kimberly-Clark excel at content syndication, ensuring accurate, updated data for distributors.
  5. The ROI of Investing in Product Content:
    • Poor content impacts invoices, purchasing decisions, and customer trust.
    • Companies relying on digital sales must prioritize structured, enriched product content to compete effectively.
    • Even smaller distributors ($200M in revenue) need to invest in data strategy, even if they don’t implement a full PIM system.
  6. The Future of AI in Product Data Management:
    • AI will automate data compliance, reducing the need for large content teams.
    • Manufacturers and distributors should capture industry knowledge before experienced professionals retire.
  7. A Big Idea – The Knowledge Economy for Trades:
    • Capturing industry knowledge through structured AI-powered conversations with experienced professionals could be transformative.
    • Creating a gig economy for retired experts to document tribal knowledge could revolutionize B2B education and product guidance.

About Anthony Testa Today:

  • Consulting with manufacturers and distributors on product content and digital strategy.
  • Acting as Chief Revenue Officer at Green Bloom, a sustainable sorbent manufacturing company.
  • Helping US Paper, a fast-growing Jan-San distributor, scale operations across the East Coast.

Show Links

How to Connect with Anthony Testa:

📩 Email: [email protected]

Next Episode

undefined - Voice Notes: The Most Destructive Phrase in B2B eCommerce

Voice Notes: The Most Destructive Phrase in B2B eCommerce

There has never been a more destructive phrase in B2B eCommerce than “Consumerization of B2B.”

In the musical Hamilton, there’s a song called “The Room Where It Happened.” Well, I was in the room where it happened when this phrase was born.

I was working with the hybris team and a few of their big agency partners—mostly B2C guys—who wanted to push into B2B but couldn’t quite crack it. At one point, someone said something like:
"Isn’t eCommerce just eCommerce? Don’t people bring their expectations from buying into the workplace?"

And that was it. That became the strategy. And honestly? It set B2B digital back a decade.

In 2010, I wrote two articles:

  1. “Who Cares About the Add to Cart Button?”
  2. “Can We All Stop Talking About the Consumerization of B2B Yet?”

Because even then, I knew—we were solving the wrong problem.

B2B buyers don’t need a better shopping cart. They need better tools to do their job.

  • They don’t think in transactions. They think in workflows.
  • They don’t want to type things into their ERP, then re-type them into a website.
  • They don’t need eCommerce. They need eBusiness—a digital experience that actually fits how they work.

[THE CAVEAT]
Now, let’s be clear—there are industries where traditional eCommerce does work.

  • In JanSan, office supplies, plumbing—buying through an eCommerce site actually makes life easier. These customers would choose to buy online because it fits how they work.
  • And that’s the whole point. We need to listen to customers, understand how they buy, and then build digital tools that actually help them do their job better.

When we talk about customer adoption problems, we have to ask ourselves:
"Are customers not adopting because it’s not actually helpful?"

I’m not saying websites don’t matter. Information, knowledge, discovery, and solutioning are more critical than ever.
But why would we expect customers to adopt a system that makes their job harder?

We wouldn’t.

The Rethink: Mapping the Customer Journey First

Before we talk about solutions, we need to ask a fundamental question:

Do you truly understand how your customers purchase today in their jobs?

Not just where they buy—but how they buy. What triggers a purchase? Who’s involved? What systems do they already use? What makes their job harder—or easier?

If you haven’t done a customer journey map to break down every stage of the buying process, you’re just guessing. And that’s how we end up building eCommerce sites that nobody actually wants to use.

We need to rethink the whole model:

  • Instead of making customers search for products, we should be anticipating their needs—offering AI-driven recommendations based on usage, inventory levels, or past orders.
  • Instead of a checkout process, we should be integrating directly with procurement systems—eliminating double entry, streamlining approvals, and embedding into how they already buy.
  • Instead of forcing them into our site, we should be meeting them where they work—through APIs, punchout catalogs, real-time quoting, and AI-powered ordering tools.

Because at the end of the day, the goal isn’t to get them to use your system. It’s to make their job easier.

The companies that win in B2B eCommerce won’t be the ones with the best website.
They’ll be the ones who digitally enable their customers’ work.

B2B isn’t about mimicking Amazon. It’s about eliminating friction, integrating processes, and making life easier for the buyer.

It’s time we stop talking about the

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