ASOS: Redesigning online fashion at the speed of AI

Fashion retailer ASOS is applying artificial intelligence and cloud services throughout its whole value chain in a frontier AI transformation partnership with Microsoft, to make online shopping more personalised, inspirational and fun.

For more than two decades, ASOS has been known as a fast-moving and innovative digital-first fashion retailer. Now, as artificial intelligence (AI) reshapes how people work and shop, the company is pushing into new territory again – redesigning both the customer experience and its internal operations with Microsoft technology.

“Online shopping has been very transactional,” explains ASOS CEO Jose Antonio Ramos. “AI is really the key to opening the door to something much more inspirational – potentially even more inspirational than shopping offline.”

Tailored experience

These days, customers want increasingly personalised and interactive experiences, not just stock availability, says Ramos.

“Personalisation has existed, but it was very basic. AI allows us to move much further than that.”

Consumers don’t always know exactly what they want, he argues, they’re looking for inspiration. And that has been more difficult to deliver online, which has traditionally involved keyword searches and pages full of products customers have to scroll through.

But with AI Stylist, ASOS’s conversational shopping experience, the interaction becomes a dialogue.

“You engage in a conversation with the stylist,” says ASOS Chief Technology Officer Przemek Czarnecki. “You explain your needs, the context of the purchase – whether that’s a wedding in May, a city break, or a new-job wardrobe refresh – and what’s worked for you in the past.

“It’s much closer to what happens in a physical store.”

Over time, those conversations enable the system to suggest ideas for new outfits, helping you create new looks and surprise you with creative ideas.

“We partner with Microsoft on fine-tuning the large language models specifically for fashion,” says Czarnecki.

“The longer you engage, the more context the stylist understands,” he says. “That leads to more relevant recommendations.”

The longer-term vision goes further.

Ramos envisages a future digital store that adapts continuously to each customer’s behaviour – rearranging what they see as they browse, based on what captures their attention.

“AI opens the possibility to design a different store for every consumer,” he says. “Not static personalisation, but something that adapts moment by moment.”

The need for speed

Operating in a highly competitive, fast-moving sector entails rapid innovation and response to the trends in e‑commerce and fashion.

“Velocity and speed are essential for us,” says Czarnecki.

“Fashion trends can change in a few weeks. You have to listen carefully to customers, source the right products, and react very fast.”

This means ensuring you have instant access to the right data and analytical tools so you can make better business decisions.

Which is why ASOS has consolidated its data in Microsoft’s Datalake on Azure and uses PowerBI for dashboards and reporting across the enterprise.

“What many companies struggle with is having multiple sources of the same information,” says Czarnecki. “Bringing data into one central repository creates massive simplification.”

That centralisation enables teams across ASOS to access data in a self-service way, helping remove friction and accelerate decision-making, he says.

The company is also working with Microsoft on Dynamics 365 Finance & Operations and AI agents to simplify and automate core back-office processes – such as invoice and inventory management, purchasing and so on – across finance and supply chain.

Reducing complexity and improving operational efficiency will not only cut costs but help ASOS grow faster, says Czarnecki.

From idea to shelf

ASOS’s approximately 3,000 employees are also using Microsoft 365 Copilot to reduce repetitive admin, boost productivity, and reinvest saved time into more strategic and creative activities.

AI is also used to analyse social media and internal data to identify emerging fashion trends, supporting a process ASOS calls “trend scouting”. Those insights feed into design and buying decisions, accelerating the path from idea to product.

“We go from idea to shelf in about three weeks,” Ramos says. “AI helps us find ideas faster and increases the productivity of our designers.”

And 3D design technologies help accelerate this design-to-production process, reducing the need for physical samples and “back-and-forth in early design stages”.

Putting agents to work

ASOS is experimenting with AI agents not just in the back office but also across customer service and software development.

Approximately 50% of customer enquiries are now handled completely by agents, with more complex cases escalated to humans, says Ramos. And agents already write “about 15 % of our code”.

Working together, ASOS and Microsoft have identified 93 potential agentic use cases.

But these agents always act within guardrails and with human oversight, Czarnecki emphasises.

“You put agents in well constrained contexts, and you always keep humans in the loop,” he says.

Partnership as accelerator

Both leaders emphasise that ASOS could not move at this pace alone.

“This is not about buying software,” Ramos says. “We need partners who are willing to invest with us.”

For ASOS, AI transformation is about becoming “the most inspirational fashion destination on the planet” – but led by human creativity.

“This industry is about newness and excitement,” he says. “That is created by humans, but enabled by technology.”

Microsoft’s combination of cloud infrastructure, productivity tools and AI capabilities – brought together under a single vision – is helping ASOS to realise its frontier transformation ambition.