1. AI in Fashion Design & Creation

The year 2025 marks a pivotal shift in fashion design, as the industry moves from general AI experimentation to the adoption of highly specialized tools that solve concrete problems within the creative workflow. These new platforms are re-engineering the entire process, from initial sketch to final material selection.

Breakthroughs in Material Simulation

Beyond visual design, AI is bringing scientific precision to fabric simulation. SEDDI Textura represents a major breakthrough, creating accurate 3D digital models of cloth from simple images captured on a flatbed scanner. The technology interprets multiple data sets—including fabric weight, fiber composition, and thickness—using purpose-built machinery to create scientifically accurate simulations of how a textile will behave in the real world.

This allows fashion teams to predict a material's performance before committing to production. For instance, AI can now simulate how an eco-fabric will perform in activewear, predict its durability after repeated washing, or even model how conductive fibers in smart textiles will interact with skin, eliminating the need for costly and time-consuming physical sampling rounds.

Seddi Textura 3D visual rendering | source: SEDDI Textura

Data-Augmented Creativity

AI is also becoming a key strategic partner in trend forecasting. Platforms like Adobe Sensei, Designify, and Fashwell now analyze massive datasets from past runway shows, social media aesthetics, and real-time customer preferences to help designers create more commercially viable collections. These tools can predict which silhouettes, colors, or fabrics are likely to resonate in upcoming seasons. Designers can input prompts and receive AI-generated mood boards, sample sketches, and even recommendations for sustainable fabrics, augmenting their creative intuition with data-driven insights.

2. AI in Visual Production & Marketing

The creation of fashion marketing campaigns, once a lengthy and resource-intensive process, is being completely transformed by a new generation of sophisticated AI platforms.

The Rise of the Digital Human

The use of virtual influencers and digital clones is revolutionizing fashion marketing. Instead of relying on generic AI avatars, leading brands are now creating "digital twins." In a notable 2025 initiative, H&M partnered with a leading tech firm to develop a roster of digital twins of real models, allowing the brand to generate an endless stream of on-model e-commerce imagery without requiring the models to be physically present for every shoot.

This strategic shift is driven by the ability to bypass significant logistical and legal complexities. For exemple, this technology provides a powerful solution to the challenge of casting for specific, hard-to-find demographics, such as children—thereby avoiding strict child labor regulations—or a diverse range of plus-sizes.

Specialized platforms like Veeton are engineered to solve this exact problem, enabling brands to generate a diverse range of on-demand, photorealistic models that align with any specific creative or demographic need. This approach gives brands a powerful tool for creating consistent, high-impact content while maintaining full creative and legal control.

Veeton’s visuals

Enterprise-Grade Scaling with Adobe Firefly

The adoption of generative AI at the enterprise level is accelerating, with major corporations integrating tools like Adobe Firefly to streamline their global marketing operations. In a landmark partnership announced in 2025, The Estée Lauder Companies is incorporating Firefly into its digital campaign production. The collaboration focuses on using tools like Generative Expand to efficiently adapt visual assets for different aspect ratios and channels, enabling the company to scale its content across a 150-country operation. This demonstrates a clear trend of AI becoming a core part of the infrastructure for large-scale content production.

A New Generation of Specialized Visual Tools

Alongside major platforms, a new ecosystem of specialized AI tools is emerging to serve specific needs within the fashion industry. Platforms like Krea.ai are empowering high-fashion brands to generate surreal, highly detailed professional photography for their marketing campaigns.

While these tools excel at avant-garde and conceptual visuals, Veeton is engineered to solve a different, yet equally critical challenge: the at-scale production of photorealistic, e-commerce-ready on-model imagery. Our platform offers a suite of features designed for the specific needs of fashion brands, including:

• Pairing and Styling: Instantly mix and match any top with any bottom and add accessories to create complete outfits on your model.

• Model Selection: Choose from our diverse library of AI models or create your own unique model that perfectly represents your brand.

• Shot & Scene Control: Select all the camera angles you need—from front to back to close-ups—and choose the perfect background for your photos.

• Kids & Baby Collections: Kids & Baby Collections: Easily generate on-model visuals for your children's clothing.

• Realistic Rendering: Our integrated upscaler ensures every image is hyper-realistic, with natural faces and detailed fabric textures.

Veeton’s visuals

3. AI in Sales & Customer Experience

In 2025, artificial intelligence has moved from a back-end operational tool to a front-line, customer-facing force. The most significant advancements are happening at the point of sale and service, with a new generation of AI-powered assistants and platform integrations.

The Rise of Conversational Commerce

The era of the AI Shopping Assistant has arrived, with the market projected to grow from $4.3 billion in 2024 to nearly $42 billion by 2034. These intelligent digital agents are moving beyond simple chatbots to become sophisticated personal stylists.

In a major development in September 2025, Ralph Lauren launched "Ask Ralph" a conversational AI shopping experience powered by Microsoft Azure OpenAI. The platform understands open-ended, natural language prompts from customers and provides tailored styling inspiration from available inventory. Similarly, Daydream, an AI-powered fashion chatbot from e-commerce veteran Julie Bornstein, launched in June 2025 after a $50 million seed round, allowing users to find clothing by typing queries like "I want a dress for a wedding in Paris" or by uploading images for visual search.

The adoption rate is significant: in 2025, 48% of Millennials reported using AI shopping assistants or ChatGPT to facilitate their online purchases, and these assistants achieve 3 times higher engagement than human creators.

Ask Ralph Lauren App | source: Ralph Lauren Corporation

AI Integration in Core E-commerce Platforms

AI is no longer an add-on; it is being woven directly into the fabric of the major platforms that power e-commerce. Shopify has introduced numerous AI-powered features for fashion brands in 2025. These include AI-driven personalization that adjusts a store's content based on a user's location and past interactions, as well as powerful product recommendation tools.

Salesforce has also made significant AI innovations, launching its Einstein 1 Platform to connect retail data seamlessly with large language models. Key tools include the Einstein Copilot for Shoppers, which provides personalized shopping assistance, and Agentforce, an autonomous AI suite that improves efficiency in customer service, sales, and marketing.

Customer Service, Reimagined on WhatsApp

Fashion brands are increasingly leveraging AI-powered WhatsApp support to transform customer communications. In 2025, WhatsApp has become the new "front door" for customer service. Platforms like Simio are leading this shift, deploying generative AI shopping assistants that engage in human-like conversations directly with customers on WhatsApp.

These next-generation chatbots go beyond simple keywords to understand context and intent. They can handle real-time queries about product availability, provide automated size and style guidance, and manage return policy information with a human-like touch. By automating these interactions, brands can offer instant, 24/7 support that increases conversion rates and builds stronger customer relationships through personalized, conversational commerce.

4. AI in Operations & Supply Chain

While customer-facing AI applications often capture the headlines, an equally profound transformation is happening in the operational back-end of the fashion industry. In 2025, AI is being integrated into the core systems that manage everything from product data to supply chain logistics, driving unprecedented efficiency, intelligence, and sustainability.

The Intelligent Asset: AI-Powered PIM & DAM

The management of product information and digital assets is undergoing a revolutionary AI-powered upgrade.

• Product Information Management (PIM) systems now use AI to automate highly manual tasks. Advanced solutions like PIMinto's AI assistant can automatically write compelling product descriptions from technical specifications, enrich existing data, and even translate content into multiple languages. This increases the accuracy of product data while freeing human teams to focus on more strategic initiatives.

• Digital Asset Management (DAM) systems now feature sophisticated, fashion-specific AI. Platforms like Pics.io use AI to automatically generate relevant fashion tags for images, covering details like colors, styles, and patterns. These systems also offer AI-powered visual search, allowing teams to find assets based on descriptive queries without relying on manual tags.

Basecamp | Pics.io | PIMinto logos

AI in Inventory Forecasting

AI is providing a powerful solution to one of fashion’s most persistent challenges: unpredictable demand, which can lead to costly overstock and waste. New platforms are transforming inventory management from a reactive process into a predictive science by analyzing vast datasets, including historical sales and real-time market trends.

Companies like Autone are at the forefront of this shift, offering AI-powered tools that help brands optimize their stock levels to maximize profitability. Similarly, platforms such as Metreecs provide real-time analytics that can automate key decisions like stock replenishment. The integration of this technology enables a more efficient and profitable supply chain, with the potential to reduce forecast errors and costly overstock.

Automated Product Page Descriptions

Writing compelling, on-brand product descriptions for hundreds of SKUs is a significant operational bottleneck for fashion brands. A new generation of AI tools now automates this process, transforming raw product data and images into engaging, conversion-focused narratives. Platforms like Velou specialize in this for e-commerce, using AI to analyze product attributes and generate high-quality copy that can reduce the time-to-market for new products by up to 80%. Competitors like Jasper, a versatile AI writing assistants, offer specific templates for fashion product descriptions. By automating this crucial step, these tools free up marketing teams to focus on broader strategic initiatives.

If you found this article insightful, you're likely curious about the technologies that are actively redefining the fashion industry. As we've seen, AI has moved beyond experimentation to become a concrete and accessible lever for performance.

Ready to move from theory to practice? Discover how Veeton’s technology puts these innovations directly into your hands. Sign up and start transforming your visual production today.