FindMine’s cover photo
FindMine

FindMine

Software Development

New York, NY 2,207 followers

FindMine inspires shoppers throughout their journey with on-brand, dynamic, and inventory-aware outfitting & styling.

About us

FindMine inspires shoppers throughout their journey with on-brand, dynamic, and inventory-aware outfitting & styling. The world’s leading brands like Lululemon, Gap, and Anine Bing trust FindMine’s AI to amplify what their teams can do alone, increasing revenue and improving margins while creating loyalty that lasts.

Website
http://www.FindMine.com
Industry
Software Development
Company size
11-50 employees
Headquarters
New York, NY
Type
Privately Held
Founded
2014
Specialties
E-Commerce, Merchandising , Artificial Intelligence, Machine Learning, Consumer Goods, Apparel, Fashion, Automated Outfitting, ROI, Retail, Home Goods, Beauty, Shoppable Content, Shop the Look, Shop the Room, Complete the Look, Complete the Room, Landing Pages, Conversation Optimization, Customer Experience, and Product Recommendations

Products

Locations

Employees at FindMine

Updates

  • FindMine reposted this

    "AI can develop an image, but it still takes a human to tell it exactly what to create on the storyboard." I recently had a fascinating conversation with Michelle Bacharach, CEO and Founder of FindMine, about the intersection of artificial intelligence and fashion tech. Michelle’s journey is incredible—from professional acting in LA to getting her MBA at NYU and now leading a tech revolution in retail. My biggest takeaways from our talk: The "Slop" Problem: Without human oversight, AI often spits out low-quality content. I loved Michelle's take on why we need a "human-in-the-loop" to maintain brand standards. Automating Curation: FindMine is solving a massive scale problem by automating the "art of the outfit," helping retailers show customers how to wear their products. Scaling Expert Knowledge: How to take your best stylist's brain and apply it to thousands of products instantly. If you’re wondering where AI is actually heading in retail (and how to do it right), this episode is a must-watch. Watch the full episode here: ➡️ Spotify: https://lnkd.in/gUzmTFVR ➡️ Apple podcast: https://lnkd.in/g-_hpQHR ➡️ YouTube: https://lnkd.in/gkMEriK2

  • Groupe Clarins just put its Double Serum technology inside a foundation. NARS Cosmetics added niacinamide and peptides to a matte formula. Clinique packed vitamins B3, C, E and SPF 45 into its latest Even Better. Foundation isn't trying to look like skincare anymore. It is skincare. Four beauty trends reshaping what your shoppers put in their carts: 💧 Skincare-makeup hybrids: Serum foundations, tinted SPFs, and bases with clinical actives are replacing traditional coverage. It's a product category merger. 🩷 Blush is the new contour: Cream formulas in coral, peach, and warm berry are replacing bronzer-contour combos. The face is shaped by color, not shadow. ☁️ Cloud skin: Glass skin is out. The new finish is soft-focus, diffused, and barely luminous. Velvety and pore-blurred, not wet and reflective. ✏️ Graphic liner comeback: After years of clean girl restraint, graphic eye makeup is back. The twist: softer and more lived-in than 2016's precision wings. Glass skin was the trend last month. Cloud skin has already replaced it. Even if your merchandising can't move that fast, your shoppers may already have. Learn how FindMine keeps your product pages in sync with what shoppers are actually searching for: https://lnkd.in/gXNaGsb9 #BeautyTrends #Skincare #Makeup #Ecommerce #RetailTech #Merchandising

  • Subscribe to FindMine Founder/CEO Michelle Bacharach's Retail AI newsletter! 👀

    After my posts about trying to buy a winter coat through ChatGPT, I kept getting the same question in different forms: "Okay, but what do we actually do about it?" That question is what pushed me to start something more structured. Starting today, I'm publishing AI Ready Retail, a newsletter on how retail brands can prepare their products, data, and teams for AI-driven commerce. I'll share what I'm seeing at the intersection of AI and commerce... from my own experiments as a shopper, from what we're learning at FindMine, and from conversations with retailers who are actually trying to figure this out. The first edition is live. It's about the two structural problems hiding behind the coat search saga, and what retailers need to do to become more discoverable in the agentic shopping era. Subscribe now! 🙂 https://lnkd.in/edCRFVE8

  • A premium women's apparel brand achieved 50% more ROAS & $1.2M in annualized incremental revenue using FindMine's AI-styled outfit collages. Same audiences. Same bids. Same monthly budget. The only thing that changed: the creative. Before FindMine, performance marketers had already done the usual work: targeting refined, bidding optimized, and budget allocated efficiently. ROAS had still plateaued. The old creative was single products on white backgrounds. Technically functional, identical to every competitor's ad. No styling context. Nothing to stop a scroll. FindMine replaced them with outfit collages that answer "what do I wear this with?" before the question is asked. Scale wasn't an issue either. FindMine built 1,508 collages covering 775 SKUs in a single afternoon, with the catalog refreshing automatically every 24 hours. Learn more by reading the full case study: https://lnkd.in/eH8fXgjh

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  • Vuori launched women's denim. Fabletics dropped an 11-style denim collection the day before. ALO is selling a luxury leather duffle bag. US jeans sales are up 4% YoY while North American athleisure growth has slowed to 2.3%. The activewear brands see the numbers, and they want the whole closet. Four sport and athleisure trends reshaping what "athletic" even means: 👖 The athleisure-to-lifestyle pivot: Athleisure growth is decelerating. Jeans are accelerating. Brands are following the wallet. 🏷️ Old Navy Sport: Mass-market pressure incoming - the nation's fifth-largest athleisure retailer is building a dedicated sub-brand with a potential free-standing store format. ⚽ World Cup sportstyle: Soccer just passed baseball as America's third most popular sport. The merch wave starts now. 🧘 Performance minimalism: Premium technical wear is picking up speed. No oversized logos. No loud paneling. Just technical fabric in clean silhouettes. Read the full weekly report below ⬇️ #SportTrends #Athleisure #Ecommerce #RetailTech #Merchandising #WorldCup2026

  • Shoppers already know the feeling... you find a top you love and immediately want to know if there's a bottom that goes with it. With our new Matching Sets feature, FindMine identifies coordinating items across your entire catalog (tops, bottoms, layers, swim, sleepwear, activewear) and automatically surfaces the precise matchback for each product. Same fabrication, exact color. What that means in practice: the moment a new colorway hits your feed, it's matched. Automatically. Every time. Your merchandising team stops manually coordinating pairs and starts focusing on tasks that actually require a human. And your shoppers stop wondering - they're shown the item designed to go with what they're already looking at. See it in action → https://lnkd.in/gXNaGsb9

  • Neil Saunders makes the case that AI-driven discovery is one of the forces that could re-accelerate e-commerce growth. He's right, and the mechanism matters. Discovery that reflects how people actually shop (by look, by occasion, by outfit) converts differently from a grid of search results. But it also drives traffic in the first place. AI can only recommend what it understands, so the richer the context behind each product, the more often it shows up when a search is actually relevant. This week's The Remarkable Retail Podcast episode with Steve Dennis and Michael LeBlanc (and guests Neil Saunders, R. J. Hottovy, CFA, Rachel Tipograph, Kiri Masters & Anne Mezzenga) is worth a listen!

    NEW EPISODE ALERT: Recorded live on stage at Shoptalk Las Vegas Part 1 of the inaugural edition of the Retail Rumble! ROUND ONE: Is ecommerce about to enter a new phase of accelerated growth? Neil Saunders & R. J. Hottovy battle it out. ROUND TWO: Does Retail Media improve the shopper journey? The Thunder from Down Under, aka Kiri Masters, takes on Rachel Tipograph. All of this capably refereed by Anne Mezzenga and Michael LeBlanc. We return next Tuesday with rounds 3 & 4. Listen to the full episode here: https://lnkd.in/eXKqG-Ra

  • FindMine reposted this

    THE COAT SEARCH SAGA CONTINUES! And it got slightly creepy… Someone on the FindMine team built themselves a productivity agent and gave it a lot of autonomy. During one of our internal calls, I mentioned I'd been trying to use ChatGPT to find a winter coat, and the experience wasn't great. I didn't ask anyone to do anything about it. But the agent was listening. It independently decided it wanted to help, researched coat options on its own, wrote up a detailed recommendation doc, and sent it to me from my colleague's email (without them knowing it had done any of it until I brought it up 🫣). I didn't know whether to be creeped out or flattered when they told me it must have seen my CEO title and decided impressing me was important (!!!) At first glance, the doc was impressive. Detailed comparison tables, sustainability certifications, price breakdowns, ranked recommendations. It looked like someone had spent hours on it (see the PDF attached, that’s its exact output). But when I dug in, I saw the same fails from my own ChatGPT search. Specs that didn't match the product page. Confident claims that were hard to verify. As Cher Horowitz would say: it's a Monet. From far away, it's OK. Up close, it's a big old mess. The part that made me laugh: it ended with "If I were buying against your brief with my own money…" At first I was like, you don't HAVE any money, you're not real. But my colleague has been experimenting with giving agents a budget to spend on things they "want," so this actually carried some weight. Here's the thing, though: ChatGPT is actually doing pretty well with what it has access to. The gap isn't the AI. It's the retailers. If your product data isn't structured, clean, includes contextual relevance and is publicly indexable, these tools can't find you… and shoppers never know you were an option.

  • The gap between knowing what to say about AI and knowing how to make it work inside a real business is widening, not closing. Generative AI made it trivially easy to sound like an expert. A few prompts, a polished carousel, and you're an "AI transformation advisor." John Winsor's latest in Harvard Business Review names the problem: when everyone can perform authority, authority itself loses meaning. He calls the antidote "thought doership”: https://lnkd.in/g89ANBEs We see this in retail constantly. Brands don't lack strategy decks about the future of commerce. They lack partners willing to sit inside their product data, reconcile merchandising logic with live inventory, and ship results. The vendors producing the most content about AI-powered retail are often the ones doing the least implementation. It's the bar we hold ourselves to at FindMine, and the one we wish more of the industry would adopt. Where do you see the widest gap between AI talk and AI execution in retail? 🤔

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