Imagine walking into a store—physical or online—where every item is curated just for you. The perfect pair of jeans in your size, a jacket that flatters your shape, and accessories that match your style, all recommended instantly. Even better, you look around and the mannequins or model images reflect your own body type, allowing you to envision exactly how an outfit would look on you—not just on a one-size-fits-all, unattainable model. This isn’t the future—it’s happening now, thanks to artificial intelligence (AI) in the fashion industry.
AI is changing how fashion retailers and online shoppers interact. From virtual try-ons that let customers see how clothes fit before purchasing, to AI-powered chatbots that offer styling advice, AI is making shopping more personalized, seamless, and efficient. Behind the scenes, it’s also helping fashion companies optimize inventory levels, predict fashion trends, and develop innovative solutions to meet consumer demand.
But AI isn’t just about automation—it’s about using data-driven insights to make informed decisions, improve pricing strategies, and increase customer engagement. In this article, we’ll explore the biggest challenges facing fashion retailers today—low customer engagement, plateauing average order values, and uninspirational merchandising that keeps inventory stagnant. You’ll learn how brands like JD Sports and Men’s Wearhouse are using Stylitics’ AI-powered styling and bundling solutions to increase conversions, optimize ecommerce strategies, and drive higher order values.
Consumers today expect shopping experiences that feel tailored to them—whether that means finding clothes that fit their body type, discovering outfits inspired by their past purchases, or receiving recommendations that match their wish list items and previously viewed products.
But despite having more data at our fingertips than ever before, most fashion sites still fail to deliver truly personalized experiences.
For customers it’s like walking through a brick-and-mortar store only to see:
Racks of random clothing with no organization, leaving you wandering aimlessly trying to find something that fits your style.
Mannequins displaying outfits that don’t match your body type, making it impossible to visualize how those clothes would look on you.
No sales associates available to offer help, forcing you to guess which pieces go together or which size to try.
Now, compare that to an AI-powered online shopping experience where everything is personalized to you.
Chatbots and virtual assistants act like digital sales associates, offering real-time styling recommendations. They are trained to be just as knowledgeable as in-store stylists but are active and ready to help at all times. Instead of aimlessly scrolling, you get instant suggestions that match your style and needs.
AI-driven personalized recommendations ensure that every product suggestion aligns with your size, style, and past purchases. Instead of a one-size-fits-all approach, your shopping experience feels curated—like a stylist selecting pieces just for you in a boutique.
Visual AI tools adjust product imagery, allowing you to see clothes on models with body types that resemble yours. This means no more guessing how something will fit or look on your frame—you can confidently envision how an outfit will work for you before you buy.
Fashion retailers are using these tools to make online shopping feel as intuitive, helpful, and personalized as the best in-store experiences—without the frustration of searching, guessing, or settling for something that doesn’t quite fit.
How Men’s Wearhouse is Bringing the Personal Stylist Experience Online
Men’s Wearhouse takes AI-powered personalization to the next level with its “Get Styled” cheat sheet, a feature designed to help customers quickly find the right outfit for any occasion.
Instead of forcing shoppers to piece together an outfit from individual items, this tool curates complete, polished looks that align with their needs—whether it’s a sharp suit for a business meeting or a laid-back ensemble for a night out.
Each shoppable outfit is assembled with suiting, footwear, accessories, and layering pieces, allowing customers to purchase a full look in a few clicks. The Date Night collection showcases smart-casual combinations like tailored jackets paired with versatile boots, while the Business Formal selection ensures that professionals can shop sleek, office-ready attire without second-guessing their choices.
By combining AI-powered styling guidance with seamless shopping functionality, Men’s Wearhouse makes it easier for customers to shop with confidence, increase their cart sizes, and feel good about their fashion choices.
AI in Retail Supply Chains & Inventory Management
Fashion retailers face constant inventory challenges—too much stock leads to excess inventory and markdowns, while too little results in missed sales and frustrated customers. While AI-powered inventory management tools help optimize stock levels, the real challenge isn’t just having the right inventory—it’s selling what you have predictably and efficiently.
Control over product discovery and demand generation is what separates a stagnant product from a sellout success. When inventory levels fluctuate, retailers need automated merchandising tools that adjust dynamically—ensuring that high-stock items get visibility, while low-stock items pivot to alternatives before they sell out completely.
This is where Stylitics comes in—helping retailers not just manage inventory, but move it efficiently through AI-powered outfitting, bundling, and real-time merchandising.
How AI-Driven Merchandising Solves the Inventory Challenge
Predicting fashion trends – Visual AI tools scan millions of images your customers are interacting and engaging with online to anticipate what styles will be in demand for the upcoming season.
Dynamic merchandising for stock levels – As inventory shifts, AI-driven tools automatically adjust product displays, styling recommendations, and featured looks, ensuring that high-stock items gain more visibility while low-stock items are seamlessly replaced with relevant alternatives.
Creating demand through AI-powered outfitting – Instead of leaving sales to chance, AI automatically generates styled looks and shop-the-outfit experiences, making it easier for shoppers to visualize and purchase full looks instead of single items.
Optimizing product discovery – AI site merchandising, PDP recommendations, and category curation, ensures that products are surfaced to the right customers at the right time.
“The value is being able to inspire and create head-to-toe outfits that are relevant to our customers without the overhead and operational burden that it would take for us to do something internally.”
VP of digital operations, retail
AI-Powered Merchandising Checks All the Right Boxes
Retailers who automate merchandising decisions with AI-powered tools like Stylitics can: ✔ Dynamically adjust product visibility based on stock levels ✔ Create demand by inspiring customers with styled outfit pairings ✔ Maximize full-price sell-through instead of relying on markdowns ✔ Ensure customers always see in-stock, shoppable looks
By shifting the focus from simply managing inventory to actively selling inventory, these merchandising tools give retailers the power to control product discovery, inspire purchases, and drive predictable revenue.
AI-Powered PDP Optimization: Turning Product Pages into High-Performing Selling Tools
A Product Detail Page (PDP) is where purchase decisions happen—or don’t. If your PDPs aren’t inspiring shoppers to build complete looks and add multiple items to their cart, you’re missing a major opportunity.
The reality is, most PDPs in fashion e-commerce are failing customers.
What’s Wrong with Traditional PDPs?
Many PDPs function only as a transaction point—a place where a shopper clicks “Add to Cart” (or leaves without buying). They do little to engage, inspire, or guide the customer through their shopping journey.
Here’s how PDPs fall short:
Isolated Products, No Context – PDPs often display only the single item, leaving the shopper with no inspiration on how to style it or what else to buy. A customer looking at a blouse may have no idea what pants, shoes, or accessories would pair well with it.
Low Multi-Item Purchase Rates – If a retailer’s order history is dominated by single-item purchases, it’s a sign that PDPs aren’t doing their job. Fashion shopping isn’t just about buying an item—it’s about styling a look.
Lack of Personalization – PDPs often suggest generic related products rather than intelligent, curated outfit recommendations that fit the shopper’s unique preferences.
Cross-Selling That Feels Forced – Many PDPs rely on “You May Also Like” sections that suggest items in the same category (e.g., more jeans when the shopper is already considering jeans) instead of complementary products that build a full look.
No Dynamic Merchandising – Static PDPs don’t adjust based on inventory levels, trends, or past shopper behavior, leaving retailers vulnerable to missed opportunities when products sell out or customer preferences change.
This results in a poor shopping experience that doesn’t encourage multi-item purchases, doesn’t add value to the shopper, and ultimately leaves money on the table.
How AI Fixes Fashion PDP Failures & Increases Multi-Item Purchases
Turning Every PDP into a Styling Experience – Instead of showing just the featured product, AI dynamically generates “Complete the Look” outfit pairings, helping shoppers visualize an entire outfit instead of a single piece.
Driving Higher Cart Values with Intelligent Cross-Selling – AI doesn’t just show random related products—it curates complete, shoppable outfits that make sense for the shopper’s style. Instead of seeing more sneakers on a sneaker PDP, they see joggers, a hoodie, and a bag that completes the look.
Reducing Decision Fatigue & Abandonment – Shoppers who aren’t sure how to style an item often leave the site. AI reduces purchase hesitation by providing immediate outfit inspiration, making it easy to add multiple pieces to the cart at once.
Ensuring PDPs Always Reflect Real-Time Shopping Behavior – AI updates styling recommendations based on stock availability and real-time sales trends, preventing sold-out items from being promoted and ensuring shoppers always see relevant, in-stock options.
Example: How JD Sports Uses AI to Turn PDPs into Multi-Item Selling Machines
JD Sports took its PDP experience from transactional to inspirational with Stylitics’ “Complete the Look” tool, allowing shoppers to see fully styled outfits alongside the products they’re browsing.
What changed?
Before AI Styling:
PDPs only displayed standalone sneakers, leaving customers to figure out what to wear with them.
Low cross-sell rates—customers weren’t being guided to complete an outfit.
Shoppers saw generic “You May Also Like” recommendations instead of highly relevant, styled pairings.
After AI Styling:
When a shopper views Nike Air Force 1 sneakers, they now see a complete, curated streetwear look, including matching joggers, a hoodie, and a cap.
Instead of leaving the page with just sneakers, shoppers are inspired to buy a full outfit, increasing average order value (AOV) and units per transaction (UPT).
Recommendations update based on stock levels and sales trends, ensuring PDPs always showcase relevant, in-stock options.
The impact?
More multi-item purchases per order
Higher customer engagement and time spent on PDPs
Increased revenue per visitor
“People are going to buy their favorite sneaker, but we saw them adding up. We saw increases in UPT [units per transaction], conversion, and AOV when Stylitics was present. For us, it’s really driving those incremental wins and additional value.”
VP of digital operations, retail
AI Personalization Across All Channels: Connecting Email, Social, and In-Store Shopping
A shopper clicks on a Facebook ad showcasing a trending outfit. Later that day, they receive a personalized email featuring styling suggestions based on their browsing history. The next time they visit a physical store, their app suggests AI-curated outfit recommendations tailored to complement their past purchases.
This seamless, personalized experience is what today’s consumers expect—but most retailers fail to deliver it. Instead, shoppers encounter generic ads, one-size-fits-all emails, and disjointed experiences between online and in-store shopping.
Stylitics is changing that. With AI-driven personalization, retailers can unify their marketing, online, and in-store experiences—ensuring every interaction feels tailored, relevant, and designed to drive conversions.
AI-Powered Personalization in Online & Physical Stores
Shoppers don’t just want to see products—they want curated, styled, and personalized experiences that make shopping easier, more inspiring, and more relevant to their lifestyle.
Here’s how AI is bringing that vision to life:
AI-Powered Personal Shoppers – AI acts as a virtual stylist, analyzing past purchases, browsing behavior, and current trends to recommend full outfits in real time—whether online or in-store.
“Shop the Model” & “Shop the Room” – Instead of static product pages, AI transforms editorial images into interactive, shoppable experiences, letting customers buy entire outfits or home setups with one click.
“Stylitics is a great example of digital testing and innovation. There are experiences out there that we could never think about five years ago… Now we see what [Stylitics] can do and how our customers enjoy it and it benefits their experience.”
Retail Apparel, Head of digital product
Why AI-Powered Styling & Merchandising is the Future of Retail
Fashion executives and merchandising teams are embracing AI-driven styling and bundling solutions to:
Increase customer satisfaction by offering fully styled, ready-to-purchase looks that remove decision fatigue
Improve retail experiences across all channels, ensuring consistency between online and in-store shopping
Reduce return rates by presenting styling recommendations that align with each shopper’s body shape, preferences, and past purchases
Optimize inventory management by dynamically surfacing in-stock alternatives and balancing high and low-performing SKUs
Leverage Generative AI to scale the creative process and introduce trend-driven outfit curations in real time
Visually Merchandise Faster, at Stylist Quality
Retailers still rely on manual curation and static product displays, but Generative AI and AI-powered styling engines are transforming how customers discover and shop for fashion—connecting them to the products they want before they even search.
Automate outfit creation at scale while maintaining stylist-level quality
Increase multi-item purchases with AI-driven bundling and personalized recommendations
Optimize PDPs in real time, ensuring shoppers always see in-stock, trend-driven looks
AI-powered styling and outfitting are shaping the future of retail. Contact Stylitics today to elevate your merchandising, product discovery, and shopper experience.
