By: Aly Antonio

We’ve known for a while now—arguably since the dawn of this internet age—that the customer journey starts long before the point of purchase, and ends well after the purchase is made. The rise of artificial intelligence (AI) has only sharpened that truth, opening more options for improved reach, access, logistics, strategy, and personalization.

But here’s the part too many brands miss: AI works best when it doesn’t work alone. The companies winning with AI are pairing it with human judgment, because accuracy, brand protection, and customer trust still depend on people who can review, correct, and guide what the technology produces.

AI Is Reshaping How Customers Find and Engage With Retailers

The numbers tell a striking story. As of end-2025, online US traffic from generative AI tools to retail sites increased by close to 700%.

And it’s not just quantity – the quality of that traffic is impressive too. Data shows that consumers guided to retail sites by AI agents and generative AI chatbots tend to:

• linger at the site 32% longer,
• visit 10% more pages, and
• demonstrate a 27% lower bounce rate (which reflects how often customers land on a website or webpage, only to almost instantly depart).

This tells us that AI-enhanced shopping is rapidly shifting from an optional amusement to a default expectation. That future isn’t far off at all.

From SEO to GEO: Getting Found in an AI-First World

If customers now arrive through AI, your business needs to be discoverable through AI. That means getting a grip on, at minimum, generative engine optimization – GEO, the next step after the now-familiar SEO, search engine optimization.

In other words, your products, services, and offerings need to be findable no longer just by Google, but by ChatGPT, Claude, Gemini, and all the other most popular AI assistants out there.

Here’s where human oversight becomes essential. AI tools can summarize, recommend, and represent your brand in ways you don’t directly control. A person needs to monitor how your business shows up in these answers, catch inaccuracies, and make sure the brand voice stays consistent and credible. Left unsupervised, an AI assistant can confidently spread wrong information about your pricing, availability, or policies – and your customers will hold you accountable, not the algorithm.

Physical Retail Isn’t Going Anywhere – It’s Going ‘Phygital’

This doesn’t mean physical shops will soon go the way of the dinosaurs – far from it. An enormous 75% of US retail sales still take place in brick-and-mortar environments. But even in stores, customers are already delighting in—and will soon be demanding—AI-enabled ‘phygital’ experiences.

Fusalp: Trying It On Without the Hassle

In Europe, French leisure wear brand Fusalp partnered with interior design firm Crosby Studios to launch a capsule collaboration inspired by video games and the digital world. But that’s not the AI part – the innovation is that customers can try the collection on by simply standing in front of an augmented reality (AR) mirror, effortlessly switching between items and evaluating size recommendations.

No data is available on whether this lifted actual sales, but shoppers were especially appreciative. Fusalp specializes in ski wear, which can be bulky and cumbersome to put on and take off. The AR mirror made the trying-on process quick, convenient, and fun, transforming the customer experience (CX).

Home Depot: Turning a Vague Idea Into a Shopping List

Meanwhile, Home Depot boasts a range of AI applications. One of the more interesting is the Material List Builder AI, which lets users verbally describe a project in natural language – say, “I’d like to change my kitchen tiles.” The app then generates an editable list of materials needed, organized by project phase and complete with inventory availability. That means no more forgetting critical components or searching from store to store.

Why Human Supervision Makes AI Safe to Scale

What these examples have in common, apart from the use of AI itself, is that they are carefully targeted for their audiences and successfully fulfill needs customers may not even have realized could be answered. That kind of precision doesn’t happen by accident – it’s the result of AI working in concert with skilled customer service professionals who understand shopper intent, anticipate friction points, and step in when automation falls short. The AR mirror that saves a customer from a frustrating dressing room experience, or the app that prevents a wasted trip to the hardware store – these are, at their core, customer service wins. They show how AI, when supervised by people with real service expertise, can transform the customer journey from trek to triumph, driving repeat visits, deeper engagement, and the kind of loyalty that’s earned rather than automated.

But notice what sits behind every one of these successes: thoughtful human design, rigorous training, and ongoing oversight rooted in real customer service expertise. Someone with a deep understanding of shopper behavior decided what the AR mirror should recommend – and how it should respond when a customer hesitates or needs guidance. Someone from a customer service background trained, tested, and refined the Material List Builder so it delivers accurate, helpful answers rather than confident guesses that send customers down the wrong aisle. That kind of human involvement isn’t just technical quality control – it’s service design. It ensures that every AI interaction reflects the empathy, clarity, and reliability that customers expect from the best human agents.

AI is powerful, but it isn’t perfect. It can misread context, generate confident errors, or respond in a tone that doesn’t match your brand. In customer-facing and ecommerce workflows, those mistakes cost real money and erode hard-won trust. Nowhere is that risk more acute than in customer service – where a poorly handled complaint, a tone-deaf automated response, or a failed escalation can turn a recoverable situation into a lost customer. Human supervision provides the judgment AI lacks – the ability to catch errors, protect your brand, recognize when a frustrated shopper needs empathy rather than automation, and seamlessly escalate complex or sensitive issues to a skilled agent who can resolve them with care. When it comes to returns, disputes, billing concerns, or any interaction where emotions run high, human oversight isn’t optional – it’s what separates a brand that customers trust from one they abandon. The strongest strategy isn’t AI instead of people. It’s AI guided by people.

Partner With Inspiro for Human-Supervised AI

Ready to bring AI into your customer journey without giving up control? Inspiro helps retail and ecommerce brands deploy AI the right way – pairing smart automation with experienced human oversight at every step. Our teams bring deep ecommerce and retail expertise, so your AI stays accurate, on-brand, and genuinely helpful to the customers who matter most. We help you optimize for discovery, design seamless phygital experiences, and protect the trust you’ve worked hard to build.

With Inspiro, you get the speed and scale of AI plus the judgment, empathy, and accountability only people can provide. Let’s build customer experiences that turn first-time shoppers into loyal fans. Connect with Inspiro today and discover what human-supervised AI can do for your business.