The More Digital the Purchase, the More Strategic the Physical Store Can Become

For years, the advancement of e-commerce seemed to put the physical store in a defensive position.

First came omnichannel, click & collect, ship-from-store, and unified commerce. The goal was to connect what happened digitally to what happened inside the store.

Now, artificial intelligence is starting to change that relationship again.

We are entering a scenario where the consumer can simply state what they need. An AI agent researches options, compares price, availability, timing, and location, and progressively may even execute the purchase.

In this model, the consumer may not even need to visit a website or open an app.

And this creates a paradox:

The more digital and automated the purchase becomes, the more strategic the retailer's physical presence can become.

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AI Begins to Choose the Showcase

For two decades, e-commerce has been built around navigation: homepage, search, filters, product page, cart, and checkout.

Artificial intelligence is beginning to reduce the importance of this interface.

Target reported a 2,000% increase in AI-driven traffic in the first quarter of 2026 and already allows consumers to discover products and build carts through experiences like Google, Gemini, and ChatGPT.

Walmart has also integrated its catalog with Gemini, combining purchase history, cart, loyalty benefits, and product availability.

Perhaps the most important point is this:

AI is not just creating a new showcase. It is beginning to decide which showcase makes sense for each consumer.

This changes the competition.

Imagine two retailers offering the same product:

• one costs R$ 20 less but delivers in four days;
• the other has stock three kilometers from the consumer and delivers in two hours.

Depending on the intent of that purchase, proximity may be worth more than the discount.

The ZIP code begins to transform into a product attribute.

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From Intent to Execution

The journey stops functioning as a sequence of channels and starts functioning as a network of decisions.

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In this model, availability, distance, and fulfillment capacity cease to be mere consequences of the sale.

They begin to influence which sale will be made.

It’s a kind of logistical merchandising: the position of the product no longer depends solely on its presentation but also on the ability to quickly place it in the consumer's hands.

Walmart, for example, already offers deliveries in as little as 30 minutes in dozens of American markets. Home Depot uses over 2,000 stores as fulfillment hubs for quick deliveries.

The boundary between store and distribution center begins to lose strength.

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The Physical Store Begins to Function as a Retail API

A store has an address, inventory, people, hours, sorting capacity, and proximity to the consumer.

Previously, these were essentially operational attributes.

Now, they also become digital attributes.

A system needs to know, in real-time:

• is the product available?
• in what quantity?
• where is it?
• can it be sorted now?
• can it be picked up?
• can it be delivered?
• in how much time?
• does the operation still preserve margin?

When these answers are structured and available to the systems responsible for the purchase, the store begins to function almost like a physical retail API.

It provides capacity for the digital environment.

At Target, for example, almost the entire operation already depends in some way on the infrastructure of the stores, whether through physical sales, pickup, Drive Up, shipping, or same-day delivery.

The store stops merely competing with e-commerce.

It begins to supply it.

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In Brazil, an Additional Variable Enters: Taxation

In Brazilian retail, this architecture gains an additional layer of complexity with tax reform.

In an agile operation, choosing where to fulfill an order can simultaneously involve:

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With IBS and CBS, origin, destination, price formation, and data quality become part of an increasingly integrated economic equation.

The inventory architecture of the future may not be designed solely to reduce kilometers.

It will need to decide which inventory generates the best operation as a whole.

Therefore, taxation ceases to be merely a fiscal matter.

It also enters the agendas of e-commerce, supply chain, pricing, technology, and strategy.

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Proximity Becomes a Product

This transformation is already beginning to appear in the market.

Mercado Livre launched in Brazil Envios Agora, an ultra-fast modality based on the seller's own inventory.

It may seem like just a logistical evolution.

But there is something bigger behind it:

proximity has become a product.

In an environment where AI agents compare alternatives in seconds, having a certain item close to the consumer can increase the likelihood of that offer being chosen.

This also changes the way a store is evaluated.

A physical unit can simultaneously function as:

• point of sale;
• showroom;
• local inventory;
• pickup point;
• delivery hub;
• data source;
• infrastructure for digital sales.

Evaluating its performance solely by the revenue recorded within four walls becomes insufficient.

A store that sells less directly may generate more value for the network.

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Perhaps the Next Omnichannel Will Have No Channels

For years, retail has tried to integrate store, website, app, marketplace, WhatsApp, and social networks.

The next stage may be different.

The consumer presents an intent.

The intelligence interprets.

The catalog responds.

The inventory informs.

The pricing competes.

The store makes available.

The logistics executes.

The payment concludes.

For the consumer, it matters little which channel performed each step.

The evolution of omnichannel may be precisely this:

to stop organizing retail around channels and start organizing it around intent.

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From Channel to Intent

When this happens, several boundaries begin to disappear.

The physical store ceases to be the opposite of e-commerce.

The last mile ceases to be merely a cost.

The inventory ceases to be just a financial asset.

Taxation ceases to be merely a fiscal obligation.

And AI ceases to be just a customer service tool.

Everything becomes part of the same decision.

AI interprets.
The inventory responds.
The store brings closer.
The logistics executes.
And the economic structure defines whether that operation makes sense.

The challenge ceases to be merely getting the consumer to the product.

It becomes ensuring that the right product, in the right inventory, in the right location, with the appropriate price, timing, and economic structure is the answer chosen by the intelligence representing that consumer.

In this scenario, the physical network may definitively stop being seen as a legacy of traditional retail.

The more digital the purchasing decision becomes, the greater the value of what is physically close to the consumer.

The store may not be the past of digital retail.
It may be one of its most important infrastructures.