When AI reinvents the fitting room experience: premium clienteling according to OTB and Google Cloud

Why is virtual try-on becoming strategic again in the luxury sector?

Long confined to a gadget role, L'virtual fitting today stands out as a trading tool in its own right. The reason is simple: the promise it carries addresses two major tensions in contemporary luxury. On the one hand, customers accustomed to the demand for impeccable service, including online, expect an experience as reassuring as in-store. On the other hand, brands must master the invisible costs of digitalFirst and foremost, returns and exchanges, which are particularly important in the ready-to-wear and footwear sectors. Within this space, technology is not an end but a language: that of the trustA more accurate rendering, a more precise sizing recommendation, a relevant presentation of a silhouette—all of this can reduce the uncertainty that hinders a purchase. In the luxury sector, where the average spend is high and the emotional connection is central, a moment's hesitation can be enough to derail the conversion. Virtual try-on, when powered by a artificial intelligence robust and well-governed data then becomes a premium clienteling lever, in the noble sense of the term: personalize without impoverishing the experience, accompany without monitoring, anticipate without imposing.

OTB x Google Cloud: Beyond the announcement, an experience strategy

THE Italian group OTBwhich notably includes Diesel, Jil Sander, Maison Margiela And MarniIn early May 2026, the company announced the rollout of a new, highly personalized shopping experience powered by artificial intelligence, in partnership with Google Cloud. The stated objective is to offer a virtual fitting solution capable of improving the experience for premium customers and, more broadly, modernizing the entire customer journey. This type of partnership speaks volumes about the times. First, it confirms that the cloud has become the standard infrastructure for data-driven ambitions and AI in luxury retailNext, he suggests a shift in the center of gravity: the focus is no longer solely on e-commerce, but also on services, relationship continuity, and precision. Finally, he reveals an organizational choice: outsourcing some of the computing power, AI components, and the tool ecosystem to accelerate time-to-market. For a multi-house group as OTBThe question is not simply about launching a feature, but about making it industrializable, deployable, and consistent with very different brand identities, from Diesel denim to Maison Margiela 's conceptual codes.

What an "AI-powered virtual fitting" actually entails

A virtual fitting can refer to several realities. In its simplest form, it is a 2D overlay of an item of clothing in a photograph. In a more advanced approach, the experience relies on computer vision, 3D and AI models capable of estimating proportions, reconstructing a silhouette, and then simulating the drape. The term " AI-powered "Takes on its full meaning when it is not limited to the image, but extends to recommendations, context, and the personalization of the user journey." computer vision is the discipline that allows a machine to interpret an image or video. Applied to commerce, it can detect body landmarks, recognize product categories, or estimate how a garment is positioned. 3D, on the other hand, is used to represent the product and sometimes the silhouette, in order to generate more realistic renderings. Finally, the AI models, including generative ones, can help produce variations, improve visual quality, or adapt the display to light and motion constraints. In luxuryThe credibility of the experience is crucial. The feel of leather, the thickness of wool, the fluidity of silk, the texture of denim, the precision of a drape or a structured shoulder: all these details contribute to perceived value. Virtual try-on doesn't replace the workshop or the artisan's touch, but it can bridge the gap between intention and decision, especially when the purchase is made remotely or in an international context.

Personalization as the new grammar of premium clienteling

ClientelingCustomer service, in its traditional sense, is the art of knowing one's customers in order to serve them better. It relies on the sales advisor's memory, the quality of the interaction, and the ability to offer the right item, the right size, and the right level of attention at the right timeAI does not create this relationship; however, it can increase it, provided that the brand conceive of it as a service and not simply a sales engine. A "hyper-personalized" experience can cover several layers. There's declarative personalization, when the customer indicates their preferences, favorite cuts, or preferred materials. There's behavioral personalization, based on browsing, purchase history, and interactions with customer service. Finally, there's contextual personalization, which takes into account the time, the channel, product availability, local weather, or an event. In a group like OTBThe challenge is also to orchestrate personalization without blurring the lines: the minimalist elegance of Jil Sander not recommended with the same codes as theDiesel graphic energy or theMarni avant-gardeVirtual fitting then becomes a clienteling interface. It can suggest a more reliable size, offer an alternative cut, showcase a cohesive complete look, or guide customers toward a garment better suited to their intended use. In the best-case scenario, technology becomes a form of tact, capable of guiding without being rigid, and informing without overwhelming.

From the cloud to the store: the challenge of omnichannel integration

Associating a fashion group with an actor like Google Cloud signals an ambition for large-scale projects cloud It allows for data centralization, model training and deployment, traffic spike management, and faster integration of software components. But in the luxury sector, theomnichannel integration is the real testing ground: a virtual fitting experience only has value if it fits into the actual journey, between e-commerce, shop, private appointment, customer service And remote servicesIn practical terms, this means that useful information must flow smoothly. A customer who tries on clothes virtually on their phone must be able to find their selections in-store without any hassle. A sales associate must be able to pick up the conversation, understand any hesitations, and identify the sizes being tried on, all while respecting confidentiality merchandising teams And e-merchandising They must be able to translate these signals into more relevant product assortments. Operations must, in turn, align promises with availability, because nothing damages a premium service more than a recommended but unavailable item. Omnichannel also implies visual consistency. Renderings, colors, and proportions must remain stable across e-commerce photos, editorial content, and virtual try-on. Otherwise, the experience backfires on the brand by creating dissonance. This is why virtual try-on involves both image-related and data-related professions photographers, studio teams, retouching, art direction, but also data analysts, engineers And product owners.

Measuring the impact: conversion, returns, average order value and customer loyalty

THE discourse surrounding virtual fitting It often feeds on promises. In a premium context, the key metrics are known, but their interpretation must be nuanced. Conversion, first of all, can improve if the tool reduces uncertainty about size, fit, and appearance. This effect can be particularly pronounced in categories with a high risk of return, or in impulse purchases, which are less frequent in the luxury sector, where hesitation is proportional to the level of expectation. The decline in returns is the other expected benefit. Returns are costly logistically, but also symbolically: a return represents a moment when a promise has not been kept. Virtual try-on can have an impact upstream, by improving information. It can also support responsible decisions, by limiting the practice of multiple orders for "trying at home," a phenomenon that weighs on costs and sustainability. The average basket can increase when technology facilitates the cross-selling and the coordination of a silhouetteIn the luxury sector, this shouldn't resemble a promotional tactic, but rather a credible stylistic suggestion. A well-proportioned blazer with trousers, an accessory that balances a silhouette, a shoe whose shape complements its volume: value lies in precision. If AI understands preferences and constraints, it can offer less, but better. Finally, the loyalty This is measured over the long term. A customer who feels valued, understood, and served consistently returns, recommends others, and is more willing to share informationvirtual fittingWhen conceived as a premium service, it can become an element of loyalty, especially for an international, mobile clientele, or one accustomed to remote interactions via WhatsApp, e-mail Or video appointment.

Data, governance and privacy: the tightrope of luxury

In the luxury sector, data is valuable, but it's also sensitive. Premium customers don't just expect personalization; they expect discretion. Virtual try-on therefore raises specific questions, particularly when it involves images, measurements, or information that could be considered biometric data under certain jurisdictions. Even when a brand doesn't intend to treat this information as such, the customer's perception matters as much as the legal classification data governance refers to the set of rules, processes, and responsibilities that ensure the quality, security, and appropriate use of information. This includes minimizing the data collected, ensuring clear consent, defining retention periods, controlling internal access, maintaining traceability, and responding to erasure requests. In an experience ofvirtual fittingGovernance must also regulate the models: which datasets were used for training, how biases are controlled, and how the results are explained partnership with a leading cloud player It can provide security standards, certifications, and control tools. But it doesn't shift the brand's responsibility. In the luxury sector, trust is an asset; personalization perceived as intrusive, misunderstandings about the use of images, or a feeling of being monitored can negate commercial benefits. The challenge is to design personalization that is earned, transparent, and useful, rather than merely spectacular.

Limitations not to be underestimated: realism, bias, adoption, and dependence

THE first risk The key is realism. An overly flattering or inaccurate rendering might trigger a sale, but also lead to returns and disappointment. Details make all the difference: the actual sleeve length, the waist height, the shoulder structure, how a fabric wrinkles or stretches. The higher the brand's market position, the lower the tolerance for inaccuracies. Virtual try-ons must therefore be presented with a clearly defined promise, supported by impeccable product information, measurement charts, and a customer service team capable of providing additional support second risk This is due to biases. If an AI model has been trained on unrepresentative data, it may not perform well on certain body types, skin tones, or movement patterns. In a sector that prides itself on inclusivity and accuracy, the error is not only technical: it is relational. Brands must demand audits, tests, and continuous improvement loops to ensure a reliable experience for as many customers as possible third risk Internal adoption is key. In the boutique, technology must not create an awkward moment between the customer and the advisor. It must integrate seamlessly into the rituals of luxury, where time, conversation, and the feel of materials are paramount. The tool can be a discreet support, an extension of the advice provided, but it must not interrupt the relationship. Training teams, defining usage scenarios, and respecting each brand's unique sales style become key factors for success. Finally, there is a risk of supplier dependencyRelying on a major cloud provider accelerates deployment but can complicate reversibility, cost control, and solution evolution. In a competitive environment, the ability to maintain control over data, models, and user journeys is strategic. The issue isn't rejecting partnerships, but structuring them with a clear architecture, robust contracts, and a long-term product vision.

OTB in the race for luxury AI: a positioning to decipher

Luxury OTB is making progress on several fronts: personalized recommendations, demand forecasting, inventory optimization, generated content, enhanced customer service, and immersive experiences. Virtual try-on embodies these dynamics because it encompasses the product, the image, and the relationship. By embarking on this path with Google Cloud, OTB signals a commitment to technological acceleration and a structuring approach across the group. The positioning is interesting because OTB brings together houses with strong identities, which require a subtle balance between standardization and singularity.