From Brick-and-Mortar to Digital-First: How Fashion Brands Are Adapting to New Consumer Habits

A few years ago, foot traffic was the lifeline of every fashion brand. Now? Your customer’s first stop is a screen.

Shopping habits have changed, and so have the expectations. Younger consumers move between apps, social feeds, and websites before they ever step into a store, if they ever walk in.

You can see it anywhere, including through DesignRush digital agency insights: there’s a new pattern. Not an add-on, but a completely new behavior that needs adapting to.

So, the question is no longer whether to invest in digital, but how.

Image courtesy of Freepik

The Shift in Consumer Buying Behavior

A lot has changed from years ago, and if you’re still building your strategy around foot traffic alone, you’re already behind.

One of the main things behind this change is COVID. The pandemic accelerated habits that were already forming. Online shopping became routine, not occasional. 

According to the Census Bureau’s Annual Retail Trade Survey, e-commerce sales jumped 43% in 2020. And this wasn’t a temporary change, but a new standard.

Younger consumers were very welcoming to this. One report from Kibo found that 30% of Gen Z and 36% of Millennials expected to buy less in physical stores than before. 

Still, this doesn’t mean stores are irrelevant. They’re just no longer the starting point.

Most shopper today expects three things:

1. A smooth mobile experience that loads fast and feels intuitive

2. Real-time visibility into stock, sizes, and delivery timelines

3. Personalized recommendations based on past behavior

If your fashion store still treats digital as support rather than the main stage, you’re not doing yourself any favors. Customers move between Instagram, your app, your website, and your physical location without thinking. 

They assume everything is connected. When it isn’t, trust drops.

How Leading Brands Are Blending Physical and Digital

What makes leading brands “leading”? They’re not choosing between online and offline, but connecting them.

Here’s how that looks in practice.

ZARA: Turning Stores into Interactive Spaces

Zara began testing AI-powered virtual try-on mirrors in more than 120 flagship stores worldwide. Customers can see how an outfit looks on them without changing clothes. 

The experience is similar to browsing online; it’s instant and visual, but placed inside a physical location. 

It’s both a fun and smart move, as it helps shorten decision time, improves product visibility, and connects in-store browsing to digital data.

GUCCI: Merging Luxury with Technology

Gucci gives another great example: AR virtual try-ons and AI-assisted tailoring to refine fit and personalization. Imagine being able to try on a lipstick before deciding to purchase it.

And since it’s a high-fashion brand, this move helps reduce the hesitation that often comes with it.

The brand also adopted blockchain to verify product authenticity. 

We’re talking about a market where resale platforms grow very quickly, and counterfeiters are a constant risk, so this kind of digital verification helps with trust.

More than just being a convenience, technology here supports brand integrity.

Image courtesy of Gucci.com

NIKE: Building a Connected Membership Ecosystem

Nike approached this new digital wave through community and data. Its Nike membership offers personalized AI-driven recommendations based on behavior and purchase history. 

More importantly, it connects inventory across stores and apps.

If you check availability online, you see what’s in stock at a nearby location. If you buy in-store, that data feeds back into your profile. The experience feels unified because it is.

Taking into account all these examples, we can see two patterns standing out:

• In-store technology improves the digital experience, rather than competing

• Data flows across channels, so customers move between them smoothly

For fashion companies, the store now supports a broader ecosystem. It becomes a showroom, a pickup point, a data source, and a brand touchpoint. 

Inventory, Speed, and Data: The Real Differentiator

A strong digital presence means little if your back-end systems still rely on seasonal guesses and bulk production.

Today, data affects what gets produced and when. Take H&M as an example.

The brand uses AI, but does it in a responsible way — for trend forecasting and on-demand manufacturing, with a goal to reduce unsold inventory. Instead of committing to massive volumes months in advance, it adjusts output based on real demand signals. That’s a smart move that protects margins and reduces waste.

Image courtesy of hmgroup.com

You can see how this changes the rhythm of fashion. Trends now move at the pace of social feeds. A style can spike in a week and fade just as quickly, if not quicker. 

When you monitor search data, cart activity, and purchase patterns in real time, you react faster and with more precision.

You’re also looking at less risk. With smaller production runs, you can test interest before scaling. If a product underperforms, you catch it on time and reallocate stock across channels. Inventory becomes fluid rather than fixed.

Basically, growth now depends on how well systems sync. Customer data, inventory management, and supply chains must operate as one connected structure. When they do, you gain speed without overproducing. 

So, “digital-first” doesn’t just mean selling online. It creates a whole new way of how you plan, produce, and compete in a sometimes-hectic market, considering that consumer habits change quickly and without warning.

By ML Staff. Images courtesy of Freepik, Gucci & HM Group