Most distributors evaluating AI right now are asking the wrong first question.

They’re asking, “Which tool should we use?” when the harder — and more important — question is:

“Is our team actually ready to use AI well?”

We’ve seen this play out repeatedly in conversations with distributors.

A purchasing team is eager to adopt AI, but many on the team are early in their careers. They may not yet have the years of inventory-management experience needed to recognize a good recommendation — or know when to override one.

A planning group has no formal customer stratification or pricing discipline. AI gets layered on top, but instead of fixing the process, it simply amplifies the inconsistency. The technology may work exactly as designed, yet the recommendations still miss the mark because the underlying business rules were never clearly defined.

Or a leadership team pauses its AI rollout altogether. The technology landscape is moving so quickly that evaluating platforms becomes overwhelming, and “let’s wait and see” starts to feel safer than choosing the wrong solution.

None of these are software problems. They’re readiness problems.

Three Signs You Have an AI Readiness Gap — Not a Tool Gap.

1. Your best practices aren't written down

If dead-stock management, single-customer risk, pricing decisions, or supplier scorecards live primarily in the heads of one or two experienced people, AI has nothing consistent to amplify.

Before automating a decision, you need to understand the principles and business rules behind that decision. 

2. Your team can execute — but can't yet evaluate  best practices

There is a big difference between an AI solution that generates prescriptive recommendations and one that provides information and expects your team to interpret it. Either way, your people need enough functional knowledge to ask:

Does this recommendation make sense? Why? What might the AI be missing? When should I override it?

For early-career teams especially, the gap between “the AI said so” and “I understand why” matters. 

3. You haven't benchmarked where you actually stand

It’s difficult to know whether AI is creating value if you don’t understand your starting point.

How do your inventory turns compare with similar distributors? What does your GMROI look like? Where are you carrying excess inventory? How does your cost-to-serve compare across customers?

AI can help move the needle — but first, you need to know which needle needs to move.

What an Onsite, Custom AI Upskilling Workshop Actually Covers 

That’s why we believe AI readiness starts with the team, not the tool.

ACTvantage's onsite workshops are customized around the distributor's priorities and typically combine three elements:

• Foundation: The distribution best-practice frameworks AI is expected to accelerate — including customer profitability, pricing, inventory management, supplier performance, and other functional areas relevant to your business.

• Applied AI: How to use AI within those workflows, evaluate its recommendations, ask better questions, and structure automated processes using distribution-specific, best-practice-informed judgment.

• Relevance: Inventory, margin, and other relevant benchmarking against peer distributors, helping your team understand where you stand today and where the greatest opportunities may exist.

The objective isn't to turn everyone on your team into an AI expert.

It's to make sure they remain distribution experts as AI becomes part of how they work.

Because the distributors that get the most from AI won't necessarily be the ones that choose the best tool first.

They'll be the ones whose people are ready to use it well.

Is Your Team Ready?

If you're evaluating AI — or have already started implementing it — an onsite upskilling workshop can help establish the business practices, judgment, and benchmarks your team needs to get more value from the technology.