Building great AI is hard. Building a great Retail AI company is something different

There are a lot of great AI products entering the retail market right now.

The technology is impressive. The use cases are growing. And investment in AI continues to accelerate.

But there’s a problem: there are also a lot of companies doing very similar things.

Whether it’s computer vision, voice AI, pricing, workforce management, loss prevention, analytics, personalization, or checkout, retailers increasingly have multiple AI vendors promising to solve the same problems.

So what is going to separate the companies that succeed from the ones that disappear?

The answer may have less to do with the AI itself than many companies think.

Retail has been through this before. Over the years, we’ve watched countless SaaS and technology companies build good products that never achieved meaningful market success. They had the technology. What they didn’t always have was the ability to explain it, sell it, and differentiate it.

AI is no different.

1. Simplify Your Message

This might be the biggest opportunity for many AI companies. Spend five minutes on the websites of AI vendors and you’ll see phrases like:

“AI-powered orchestration.”

“Autonomous intelligence.”

“Agentic workflows.”

“Next-generation machine learning.”

“AI-driven optimization.”

Those terms may mean something inside the AI industry, but does a retailer immediately understand what the product actually does? Your customer shouldn’t need to understand AI to understand your product. If you’re selling to a restaurant operator, store manager, loss prevention executive, CIO, or VP of Operations, explain the problem you solve in their language.

Instead of starting with the technology, start with the outcome.

What problem are you solving?

How does it make the retailer’s operation better?

Does it reduce labor?

Increase sales?

Reduce shrink?

Improve customer service?

Speed up checkout?

Improve inventory accuracy?

A retailer should be able to visit your website and understand what you do within seconds. The best AI message may actually be the one that talks the least about AI.

2. You Still Need Great Salespeople

There’s a lot of discussion about AI replacing parts of the sales process. AI can absolutely make salespeople better. It can identify prospects, research accounts, summarize meetings, personalize outreach, analyze opportunities, automate follow-up, and improve forecasting. But AI isn’t going to successfully sell a complex technology solution into the retail community by itself.

Retail is still a relationship business.

Large retailers want to understand who they’re doing business with. They want someone who understands their operation, knows their challenges, understands the industry, and can demonstrate how a solution will create measurable value. That requires good salespeople. And more specifically, it requires salespeople who understand retail.

Knowing the technology isn’t enough. Your sales team needs to understand how retailers buy technology, how decisions get made, how pilots work, how solutions integrate into existing environments, and how to build relationships across an organization.

AI can make a great salesperson more productive. It doesn’t eliminate the need for one.

3. Differentiate—or Become Another AI Company

This is going to become increasingly important. When there were only a handful of companies offering AI solutions in a category, simply having the technology could get attention. That’s changing quickly. Retailers may now evaluate five, ten, or more companies offering solutions that appear very similar.

If every company says its platform is:

AI-powered.

Easy to integrate.

Scalable.

Real-time.

Accurate.

Enterprise-ready.

Then how does the retailer choose? AI companies need a clear answer to a very simple question:

Why you?

Maybe it’s your technology.

Maybe it’s your retail expertise.

Maybe it’s implementation speed.

Maybe it’s measurable ROI.

Maybe it’s your integrations.

Maybe it’s your data.

Maybe it’s your customer experience.

Maybe it’s a very specific problem you solve better than anyone else.

Whatever it is, it needs to be obvious. If a retailer can’t quickly understand the difference between you and five competitors, you’re making the buying decision much harder.

Good Technology Is Only the Beginning

The current AI boom reminds me of previous waves of retail technology. We’ve seen plenty of SaaS companies with talented teams and genuinely good products fail to gain traction. Not necessarily because the product didn’t work.

Sometimes they couldn’t explain it simply.

Sometimes they couldn’t build the right sales organization.

Sometimes they couldn’t differentiate themselves.

Sometimes they focused so heavily on technology that they forgot about the customer.

The same thing is going to happen with AI.

There will be companies with incredible technology that don’t make it. And there will be companies that succeed because they combine strong technology with something equally important:

A simple message.
A strong sales team.
Clear differentiation.
And a deep understanding of the customer.

Building great AI is hard. Building a great AI company is something different. And in retail, the companies that understand that difference may be the ones that are still here when the AI hype settles down