What Happens When the Customer, the Store and the AI Agent All Become Part of the Same Journey?

Written by Senior Solutions Engineer, Tim Hay-Edie

Retail has always been about how to anticipate what customers want and then make it as easy as possible for them to get it.

The answer to the “how?” has changed over time. And the future isn't going to be defined by one technology, one channel, or one new business model.

It will be shaped by a series of changes in how customers discover, experience, buy and use products – and, equally importantly, by how retailers operate behind the scenes to make this possible.

I believe there are two ways to look at the future of retail:

The first is through the lens of customer expectations - how retailers anticipate this and find new ways to meet requirements.

The second is through the lens of the retailer - how the industry changes the way it works to become more efficient, more responsive and ultimately more profitable.

The interesting part is where these visions meet.

Retail is moving beyond simply selling products

The basic retail proposition has always been relatively straightforward. A retailer buys products, puts them in a store or warehouse, and tries to persuade customers to buy them.

This model isn't disappearing, but it is becoming much less rigid.

Take the role of the store. Increasingly, the store doesn't have to be the place where a transaction takes place. It can be somewhere customers discover and experience products before having them delivered to their home. It can become a showroom, a service environment, a place for advice, discovery and inspiration – all while the actual fulfilment happens elsewhere.

The same applies to the distinction between buying and owning.

Circular commerce is challenging the assumption that every product needs to be sold once and then discarded when the customer has finished with it.

Refurbished phones are already an established part of the market. “Resale” is becoming increasingly mainstream. Retailers are looking at ways to give products a second life rather than treating the first sale as the end of the relationship.

Similarly, with retail as rental.

Why buy an expensive dress that may only be worn once? Why buy a specialist tool that might be needed for a weekend? In some categories, renting can make more sense than owning – and the relationship doesn't necessarily end there. Renting can become a route to ownership, with customers able to buy a product once they have experienced it.

These aren't simply new ways of to sell. They represent a change in what customers expect a retailer to provide.

Commerce is moving to where discovery happens

The traditional retail journey assumed that the customer would come to the retailer. They would visit a store, open an app, or type a retailer's name into a search engine.

Social commerce platforms such as TikTok and Pinterest have challenged this and demonstrate what happens when discovery and commerce become part of the same environment. Customers don't necessarily start with a shopping mission. They discover something while doing something else and can buy it.

This is an important shift, as retailers have historically competed for traffic. Increasingly, they will need to compete for visibility wherever the customer happens to be.

Meanwhile, the agentic shift may be even more profound.

The rise of the agentic customer

Agentic commerce changes the relationship between the customer and the retailer again. Instead of searching retailer by retailer, or product by product, in a manual and linear fashion, customers can delegate that discovery and consideration to an AI agent.

For retailers, this creates a very different challenge. The retailer is no longer competing for the customer's attention on its own website or through SEO. It is competing to be relevant to an agent.

That makes the quality of the information behind the product every bit as important as the presentation of the product itself. Agents are looking at the source of product data, stock up-to-dateness, price comparison, customer reviews, and more.

In an agentic world, the retailer's digital proposition isn't what the customer sees. It is also the data and operational capability that the AI uses to filter recommendations to the customer.

That is a fundamental change.

From personalisation to individuality

And then, instead of algorithms serving customers personalised content, agents could help customers find products that feel genuinely individual.

This could be an exclusive, something made locally, or a product with a story behind it – a product whose provenance matters because it was produced sustainably, because it supports a particular community, or because the customer simply values knowing where it came from and who made it.

The opportunity here is to move from "customers who bought this also bought…" to something much more meaningful.

That kind of proposition is difficult to replicate through scale and price alone. Global retailers can compete on price and reach, but credible provenance depends on the quality and depth of the supplier relationships behind a product – and that's harder to manufacture at scale than a recommendation algorithm.

Perhaps this is where dropship-enabled retailers have a real advantage. A retailer that can plug into a wide network of local, specialist or niche suppliers – rather than only carrying what it holds in its own warehouse – can offer that individuality and reach it at scale.

The other half of the future: how retail works

Retailers also need to fundamentally rethink how they operate.

How quickly can a retailer identify a new customer need and put the right products in front of them?

How quickly can a retailer onboard a new supplier?

How easily can they extend into new product categories without taking on unnecessary inventory risk?

How effectively can they use their stores as part of the digital proposition?

And how much of the decision-making that currently sits with people can increasingly be supported, or ultimately executed, by AI?

These are not simply operational questions. They determine how quickly a retailer can respond to the customer.

A retailer may identify an emerging demand for a particular product, but if it takes months to source, onboard and merchandise that product, the opportunity will likely have disappeared.

A retailer may have thousands of products available through suppliers, but if the underlying product, stock and fulfilment data isn't accurate, an LLM won't recommend them with confidence.

And a retailer may have an extensive physical store network, but if its systems treat stores, digital channels and supplier fulfilment as completely separate worlds, it cannot use that network to its full potential.

The future of retail therefore depends on something much bigger than the front end. It depends on the operating model underneath it.

The retailer of the future will be more connected

The boundaries between store and online are becoming less important.

The boundaries between retailer and supplier are becoming less important.

The boundaries between discovery, consideration and purchase are becoming less important.

And now, the boundary between human decision-making and machine decision-making is beginning to disappear.

Accurate product data. Real-time inventory visibility. Connected suppliers. Flexible fulfilment. Reliable order information. Consistent customer experiences. These things may not be particularly exciting in themselves, but they are what makes the exciting stuff possible.

The future isn't one big retail trend

It is tempting to talk about the future of retail as though there will be one defining change, but the reality is likely to be much messier - and much more interesting.

Some ideas will become mainstream, some will remain niche, and some will fail completely.

The retailers that succeed won't necessarily be the ones that correctly predict which technology wins. They will be the ones capable of adapting quickly as customer behaviour changes.

That means building a retail model that can respond to demand rather than simply forecast it. A model that can bring new products and suppliers into the proposition quickly. A model that can use stores, digital channels and supplier networks as one connected ecosystem. And increasingly, a model that can provide the data and operational certainty that AI agents need to make decisions.

The future of retail isn't about predicting exactly what customers will want. It's about building a business capable of responding when they tell you.

The Agentic Shift

This is the conversation we want to explore at the Virtualstock Vision Summit on 17 September.

The theme this year is The Agentic Shift - looking beyond the hype around AI to consider what is actually changing across customer discovery, commerce, intelligent operations and organisational transformation.

Because the most interesting question isn't whether AI will change retail. (It will).

The question is what retailers need to change now so they are ready for what comes next.