What happens when your next customer is an AI agent, not a person?

AI agents won’t respond to your campaign the same way a customer does. It will look for clean product data, pricing, availability, reviews, delivery terms, trust signals and structured information it can interpret quickly.

That creates a very different challenge for retail.

This is bigger than Marketing

For retailers, this isn’t just about whether your ads are good enough. It’s about whether your business is set up to be found, compared and selected in an AI-led buying journey.

That means questions like:

• Is your product data clean and consistent?

• Are pricing, inventory and fulfilment information accurate and connected?

• Are reviews, ratings and trust signals easy for machines to read?

• Do digital, ecommerce, merchandising and data teams work together closely enough?

In many retail businesses, those capabilities still sit across different teams. And that’s where things can start to break down.

The real issue is structure

A lot of retailers are talking about AI in customer experience, personalisation and operations. But if AI agents become another layer in the path to purchase, then the question is no longer just “what tool should we buy? The real question is: Who owns this capability internally?

Why this matters for talent

Retailers may soon need different capability in the business — not just more people, but the right people in the right structure.

That could include:

• Data and analytics leaders who can connect AI priorities to commercial outcomes.

• Product data or digital specialists who understand structured, machine-readable content.

• Marketing technologists who can bridge campaigns, customer data and automation.

• Data engineers or AI specialists who can support recommendation, pricing or search capability.

• Leaders who can connect ecommerce, merchandising, supply chain and customer teams.

The retailers that move earlier will likely be the ones that get clearer on what these roles are, where they sit, and what should be hired first.

Questions retail leaders should be asking now

Before making AI hires, I think retailers should step back and ask:

• Is our current structure set up for AI-enabled commerce?

• Are ecommerce, digital, merchandising and data aligned?

• Do we have clear ownership for AI-related customer capability?

• If we hired AI talent tomorrow, would they be set up to succeed?

That’s the part that often gets missed.

Retailers don’t just need AI talent. They need the right structure around that talent so the capability can actually deliver value.

My view is that the next phase of retail AI won’t just reshape customer experience — it will reshape how retail teams need to be designed.

If AI capability is on your agenda, I’m happy to share what I’m seeing across retail team structures, benchmark roles and where the gaps are starting to appear.

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