Why 65% of Retailers Aren't Ready for AI Shopping

A recent Optimizely study found that 65% of retailers have taken no steps to prepare for agentic commerce. Not “made limited progress.” Not “exploring options.” No steps at all.

Meanwhile, AI-driven retail traffic grew 4,700% year-over-year according to Adobe.

Something doesn’t add up.

The Awareness Gap

When we talk to e-commerce leaders, we hear three consistent themes:

1. “It’s Not Urgent Yet”

Many executives believe agentic commerce is a 2027 or 2028 problem. They’re watching the space, waiting for clearer signals before investing.

The data says otherwise. Google AI Mode is live today. Shoppers are already asking Gemini to find and purchase products. The early adopters are capturing traffic that late movers will never see.

First-mover advantage in new channels is real. Ask anyone who optimized for mobile in 2010 vs. 2015.

2. “Our Platform Will Handle It”

There’s an assumption that Salesforce, Adobe, or whoever provides your commerce platform will ship native UCP support, and you’ll just turn it on.

This thinking has two problems:

Timing — Platform vendors haven’t committed to timelines. Salesforce hasn’t even announced UCP support for Commerce Cloud. Adobe hasn’t either. You could be waiting 12-24 months while competitors capture the channel.

Optimization — Even when native support arrives, “turning it on” is just the beginning. UCP implementation is like SEO implementation—technically you can do the basics, but winning requires strategy, optimization, and continuous improvement.

3. “We Don’t Have Budget”

Some teams correctly identify that UCP implementation requires investment. But without clear ROI projections, they can’t secure funding.

This is a measurement problem disguised as a budget problem. You can’t measure ROI on a channel you’re not participating in. Early movers are building attribution models that will define how this channel gets valued for years.

The Real Reasons Retailers Aren’t Ready

Beyond the stated objections, we see structural issues:

Product Data Isn’t Agent-Ready

AI agents need structured, consistent, comprehensive product data to make good recommendations. Most product catalogs are optimized for human browsing, not machine consumption.

Common issues:

Inconsistent attribute naming across categories
Missing or sparse product descriptions
Images without proper alt text or structured metadata
Pricing discrepancies between systems
Inventory data that’s stale or inaccurate

Fixing product data isn’t glamorous, but it’s the foundation of agent visibility.

Tech Teams Are Overloaded

E-commerce engineering teams are already stretched thin. Between platform upgrades, new feature requests, integration maintenance, and security patches, there’s no slack in the system.

UCP feels like “one more thing” rather than a strategic priority. Without executive sponsorship and dedicated resources, it never makes the sprint.

Organizational Silos

Agentic commerce touches everything:

Engineering owns the technical implementation
Marketing owns product content and discovery
Operations owns fulfillment and inventory
Finance owns pricing and payment

No single team has authority to drive a cross-functional initiative. Projects without clear ownership don’t ship.

What the 35% Are Doing

The minority of retailers who are preparing share common characteristics:

Executive Sponsorship

Someone at VP level or above has claimed agentic commerce as a strategic priority. They’ve allocated budget, assigned resources, and are tracking progress in executive reviews.

Dedicated Resources

Whether internal team members or external partners, specific humans are accountable for UCP implementation. It’s not a “when we have time” initiative.

Phased Approach

Smart teams aren’t trying to boil the ocean. They’re starting with:

Discovery only — Get the UCP manifest live, even before checkout is ready
Limited catalog — Enable agentic commerce for top SKUs first
Single market — Launch in one region before global rollout

Progress beats perfection.

Measurement Framework

They’re instrumenting from day one:

How many agent sessions are hitting the site?
What products are agents recommending?
What’s the conversion rate for agent-initiated checkouts?
How does agent traffic compare to organic?

You can’t optimize what you can’t measure.

The Window Is Closing

Here’s the uncomfortable truth: the 65% aren’t going to stay unprepared forever. Eventually, they’ll catch up. Platform vendors will ship native support. Consultants will productize implementation.

But by then, the early movers will have:

Established trust signals with AI agents
Built historical data for optimization
Captured brand association in the “AI recommends” space
Developed institutional knowledge that’s hard to replicate

Being in the 35% today is a competitive advantage. Being in the 35% in 2028 is table stakes.

What You Should Do Monday

If you’re in the 65%, here’s your action plan:

Week 1: Assess Your Position

Audit your product data quality
Inventory your current API infrastructure
Identify your UCP readiness gaps

Week 2: Build the Business Case

Model the traffic opportunity (we can help)
Calculate implementation investment
Compare to cost of waiting

Week 3: Secure Sponsorship

Present findings to executive leadership
Request dedicated resources
Define success metrics

Week 4: Start Building

Choose implementation path (native, partner, or custom)
Allocate engineering resources
Set a launch target

You don’t need a perfect plan. You need momentum.

Not sure where to start? Run the Agent Commerce Simulation to see where an AI agent gets stuck in your store, or book a call to discuss your specific situation.

The 65% Problem: Why Most Retailers Aren't Ready for Agentic Commerce