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These days it seems everyone is an \u201cAI company\u201d \u2014 whether the goal is boosting SEO or sales or just general prestige, any company that is able to has tacked \u201cAI\u201d somewhere onto their name or tagline. Stitch Fix<\/strong>, however, has resisted that urge, despite having been an AI-centered company from its inception 14<\/strong> years ago. In fact, while others look for ways to work AI into every sentence, Stitch Fix has decided to shine the spotlight on something else \u2014 its human stylists<\/strong>.<\/p>\n \u201cIf you\u2019ve never had someone dress you, you may not realize what an intimate thing it is,\u201d said Sarah Funderburk,\u00a0VP of Styling and Client Support at Stitch Fix in an interview with Retail TouchPoints<\/em>. \u201cI\u2019ve been a client [of Stitch Fix] for longer than I\u2019ve worked here, and in that time I\u2019ve gotten married, I\u2019ve switched jobs, I\u2019ve had two babies \u2014 if I laid all those clothes out next to each other, it would tell a story of me and my relationship with Stitch Fix. That\u2019s the thing that I\u2019m most passionate about \u2014 it\u2019s not about transactions; it\u2019s about that long-term relationship. <\/strong>What is the story that the client\u2019s closet is telling over time and what does it say about our relationship with them?\u201d<\/p>\n Which isn\u2019t to say that AI has nothing to do with it \u2014 quite the opposite, in fact: \u201cAI has been at the center of our business from day one, but it\u2019s always been about this balance of delivering best-in-class personalization and data science recommendations driven by AI, together with the creativity and human empathy of our stylists<\/strong>,\u201d said Noah Zamansky,\u00a0VP of Client Experience at Stitch Fix in an interview with Retail TouchPoints<\/em>. \u201cWe\u2019re always looking at how we can actually achieve this balance, and not overswing in any one direction. But the magic, we believe, happens when we\u2019re able to marry that human creativity with the science.\u201d<\/p>\n While Stitch Fix\u2019s human-centered approach to AI hasn\u2019t changed since it was founded in 2011, the world around the company has changed dramatically. In addition to rapid advances in AI that have brought the technology into the mainstream, Stitch Fix also has struggled to maintain its first-mover advantage in the world of subscription fashion, with a host of new entrants pulling away clients and market share.<\/p>\n In mid-2024, under the leadership of new CEO Matt Baer, Stitch Fix launched a sweeping transformation strategy aimed at regaining its former standing as consumers\u2019 go-to for personalized fashion. While these efforts have yet to bear tangible fruit \u2014 active clients and revenues were still declining in the company\u2019s 2025 Q2, which ended Feb. 1 \u2014 there are signs that a turnaround is in the making. Revenue per active client for the quarter was up 4%<\/strong> year-over-year to $537<\/strong> on average, and both the men\u2019s business and Freestyle channel have returned to top-line revenue growth. Not to mention that Stitch Fix finds itself in an enviable position at this critical cultural moment \u2014 <\/strong>with both excitement and fear about AI reigning in equal measure, Stitch Fix stands as a leading example of how to find the right balance between humans and machines.<\/p>\n Funderburk and Zamansky shared how the company is doubling down on its human-centered AI approach to create a more customer-centric shopping experience and return the company to growth.<\/p>\n The basic premise of Stitch Fix has remained the same since the beginning. Customers begin by taking a comprehensive quiz about their style preferences, fashion needs, size and fit requirements on either the Stitch Fix website or app. Clients are then matched with one of the 1,700<\/strong> Stitch Fix stylists, who select items for that customer\u2019s \u201cFix\u201d from a list of available products that has been curated by Stitch Fix\u2019s AI algorithm, based on the customer\u2019s quiz responses. The customer\u2019s Fix is shipped and they have three<\/strong> days to test out the items and select which ones they want to buy and which ones they\u2019ll return.<\/p>\n \u201cWe have thousands <\/strong>of pieces of inventory and AI is empowering our stylists by automating that process, narrowing down [the options] by size, color preferences, etc.,\u201d explained Funderburk. \u201cIf a client says, \u2018I don\u2019t like yellow,\u2019 we should never show the stylist a yellow piece, unless yellow is suddenly trending and then we need to reevaluate. The recommendations algorithm really helps to narrow it down, allowing the stylist to focus on making the best outfits out of the most relevant pieces for that client<\/strong>.\u201d<\/p>\n Part of the power of the Stitch Fix model is the transparency and depth of the information exchange with its clients.<\/strong> Unlike with more opaque applications of AI, customers are well aware that every action they take and piece of information they share is being used to inform the selection of products specifically for them.<\/p>\n \u201cThe client is telling us a lot about themselves, all in an effort to give us more relevant recommendations so that our stylist can get to know them better,\u201d said Funderburk. \u201cWith each Fix, we\u2019re able to perfect our understanding of the clients, so the more fixes a client gets, the better they become.\u201d<\/strong><\/p>\n Stitch Fix customers are incentivized to engage by the knowledge that the more they do, the better the results, and it\u2019s the explicitness of this exchange that makes it so robust and successful<\/strong>. Among the inputs that fuel the Stitch Fix recommendations algorithm are everything from clients\u2019 reactions <\/strong>to different styles presented to them in the onboarding quiz, the items they keep<\/strong>, the items they return and reasons for those returns<\/strong>, as well as a whole host of unstructured data in the form of customer notes and comments<\/strong>.<\/p>\n \u201cThe difference with us is that we really empower clients to shape the algorithm and the recommendations,\u201d said Zamansky \u201cThey\u2019re shaping the experience, and they know that it will get better the more input they provide.<\/strong>\u201d<\/p>\n It\u2019s a good model; in fact, when Stitch Fix first came on the scene in 2011 it felt revolutionary. Enthusiasm for this new way of shopping fueled the company in its early years, leading to its IPO in late 2017. But as with most good ideas, competitors followed, customers left, and with them went revenues.<\/p>\n In a bid to bring more variety to its offering, Stitch Fix introduced Freestyle in 2021, allowing users to shop individual items anytime from a selection that was curated using the same algorithm as that for Fixes. But share prices continued to slide and they remain low. The company went through two<\/strong> rounds of layoffs in 2022 and 2023, culminating in the hiring of Macy\u2019s<\/strong> and Walmart <\/strong>veteran Matt Baer as CEO. Last year, Baer laid out his plan to turn it all around, beginning with a <\/strong>reimagining<\/strong> of the Stitch Fix brand and experience.<\/strong><\/p>\n \u201cOur experience was as an innovator, and we realized that clients had moved on,\u201d said Zamansky. \u201cThe interaction was a little bit one-way, and we really wanted to evolve that experience to where our clients were heading.\u201d<\/p>\n This encompassed a full rebrand, with \u201cnot a single page [of the website] left untouched,\u201d according to Zamansky, as well as an expansion of the Fix format to include up to eight<\/strong> items instead of five<\/strong> and the introduction of StyleFile, a personalized style profile that every customer receives at the end of the onboarding quiz.<\/p>\n \u201cBefore, the style quiz was a one-way form, and now it\u2019s a much more conversational, two-way experience that provides the client with micro feedback and personalization as they go through to indicate that we heard them,\u201d explained Zamansky. \u201cThen the payoff at the end is the StyleFile, which gives clients a new way to understand their style, be inspired and know that Stitch Fix gets them.<\/strong> It has had a huge impact in terms of the trust that it builds with our clients and our core conversion rates.\u201d<\/p>\n The biggest move, though, has been a concerted effort to bring Stitch Fix stylists out from the background.<\/strong> \u201cOur community of stylists, we believe, is what sets us apart,\u201d said Funderburk. \u201cTheir expertise and their empathy are not something that can be replaced or replicated, so a big part of our effort to enhance the client experience and to continue to evolve with clients is putting a bigger spotlight on our stylists.\u201d<\/p>\n Stylists now have social media-style profiles that clients can view with pictures, stats (how long they\u2019ve been at Stitch Fix, how many Fixes they\u2019ve styled, specialty areas like maternity or kids) and an About Me section where stylists can share a bit more about themselves and their point of view. Stylists can share client feedback on their profile, and that feedback also is used to generate badges that highlight certain skills, like \u201cTaste Grower\u201d (someone who is good at helping people get out of their fashion comfort zone) or \u201cTrend Hunter\u201d (a stylist who\u2019s good at nailing down what\u2019s hot at the moment).<\/p>\n \u201cThe response has been really positive,\u201d said Funderburk. \u201cOur clients are saying that they want the same stylist back more frequently, and we\u2019re seeing those relationships really deepen<\/strong> now that they\u2019re able to learn more about their stylists \u2014 while their stylist knows so much about them.\u201d<\/p>\n Even an AI leader like Stitch Fix is benefiting from the rapid advancements currently happening in AI. \u201cAI\u2019s been around for a long time, about 40<\/strong> years, and we\u2019ve been at it for 14<\/strong> of those years so it\u2019s really baked into the model,\u201d said Zamansky. \u201cThe thing that\u2019s most exciting over the last 12, and even more so, over the last six months, is just the pace at which the tools are developing and the extent to which AI is being embedded in every aspect of our business<\/strong>.\u201d<\/p>\n While the recommendation and stylist tools always have been powered by AI, now Zamansky and the broader Stitch Fix tech team, led by Tony Bacos, are beginning to deploy AI solutions across other areas of the business, such as inventory planning<\/strong>, assortment development<\/strong>, creative development<\/strong> on the marketing side and additional tools for stylists<\/strong>, like an Outfits model that recommends different product pairings.<\/p>\n \u201cSix months ago we were just experimenting in all these things; now every part of our business is actively embracing AI,\u201d said Zamansky.<\/p>\n Looking ahead, Zamansky said one of the areas he\u2019s most excited about \u201cis how we can strengthen the client and stylist relationship through generative AI. Imagine sharing more inspirational AI-generated photos, or things like virtual try-on. This space is emerging really quickly and we think it could be a really powerful application of AI to strengthen the stylist-client relationship in terms of the visualization of style.\u201d<\/p>\n If you\u2019re attending <\/em>Shoptalk<\/em> next week, be sure to check out the session with Stitch Fix CEO Matt Baer, who will discuss the company\u2019s transformation and personalization philosophy even further.<\/em><\/p>\n<\/p><\/div>\n![\"Stitch](\"http:\/\/www.retailtouchpoints.com\/wp-content\/uploads\/2025\/03\/Stylist-on-social.jpg\")
Empowering Customers to \u2018Shape the Algorithm\u2019<\/strong><\/h2>\n
Stitch Fix Transformation: Making the Exchange More Two-Way<\/strong>
![\"Demo](\"http:\/\/www.retailtouchpoints.com\/wp-content\/uploads\/2025\/03\/StyleFile-example.gif\")
![\"Example](\"http:\/\/www.retailtouchpoints.com\/wp-content\/uploads\/2025\/03\/Stylist-profile-on-mobile.png\")
Where AI Advancements will Take Stitch Fix Next<\/strong><\/h2>\n