Shima Habibollahzadeh’s Post

Today we’re thrilled to be launching Semantic Search with Behavioral Re-Ranking at Shaped Shaped’s text retrieval models work hand-in-hand with behavior-driven re-rankers to give your users industry-leading search personalization in less than one sprint. Imagine you're an e-commerce site, and a user searches for "linen pants." A traditional semantic search might return a generic assortment of styles for both men and women. But what if that user previously clicked on the "menswear" category or purchased men's items? Suddenly, it’s obvious: the results should prioritize "men's linen pants," even if the user didn't explicitly specify it. This is where Shaped shines—using behavior-driven insights to deliver relevant, personalized search results, all based on the unique context of each session. Keen to learn more? Check out our announcement in the comments below

I am excited to share another Ecomtent case study, perhaps the first of its kind in the Amazon space, of successfully optimizing listings for COSMO. We have helped customer Katie Doodle go from under 50 to #26 Best Seller Rank in the extremely competitive Handmade category of +2.9m SKUs. This has been achieved not through the traditional keyword stuffing of legacy tools but through our intelligent, intent-based matching copy optimization and our AI-generated lifestyle images, infographics and A+ Content. Katie Doodle has run multiple Amazon Experiments, which prove our superior content. AI-powered search algorithms like COSMO require a new wave of AI-first technology companies like Ecomtent. Link in comments. 🔗

Vespa.ai is a modern, open-source platform designed to power real-time applications that need top-notch performance, scalability, and reliability. Here’s why we stand out: Search: Lightning-fast, accurate results, even with massive datasets. Ideal for diverse search use cases. Real-Time Data Processing: Analyze and act on large amounts of data instantly, making your applications smarter and more responsive. Machine Learning Integration: Easily embed machine learning models to create intelligent, data-driven experiences. Flexible APIs: Vespa’s API-driven design makes integration with other tools seamless, giving you the freedom to build the way you want. What you can achieve with Vespa? Take Vinted, a second-hand marketplace with over 120 million users and 1 billion searchable items. They needed a search engine capable of handling their growth and need for more personalized experiences Here’s what Vespa.ai can deliver: 📈 Increased transactions: A 1.1% boost, adding over €3.5M in GMV for Vinted. 💰 Lower costs: Server expenses were cut in half, reducing clusters from 120 to 60. 🚀 Improved performance: Search latency became 2.5x faster, with ranking depth tripling for better = more precise results. Vespa.ai did this by combining real-time indexing, keeping results fresh across billions of items, with our hybrid search capabilities (vector, lexical, and structured data) into a single system. This unique approach delivered more accurate and relevant results, increasing both engagement and customer satisfaction. You can explore the case for yourself here: https://vespa.ai/vinted/

🎉 Exciting News! We're rolling out 3 amazing product updates! 🚀 ✨ Recommended Workflows: We noticed that many users aren't fully aware of each workflow's strengths. So, our AI now suggests the optimal workflow to deliver the best results for your product. Achieve optimal outcomes effortlessly! 💡 🎨 Relighting is Here: A huge shoutout to Blendi Bylygbashi for adding Relighting to Remade AI's AI Backgrounds workflow! Say goodbye to mismatched lighting and hello to seamless visuals! 🌟 📐 New Aspect Ratios: We've added 9:16 and 16:9 aspect ratios to help e-commerce sellers tailor their content to the relevant social media platforms or Shopify. Optimize your visuals for any platform! 📱 Can't wait for you all to try it out here: https://lnkd.in/eyGQdSag

Is finding a statistically significant result with the wrong metric any better than not experimenting at all? 😂 🧑🔬 Experimenter: "Guess what? By removing all the 'Add to Cart' buttons on our website, we skyrocketed our product details page views. It's a game changer!" 👔 Decision Maker: "Interesting! And how did this little experiment affect our revenue?" 🧑🔬 Experimenter: "Revenue? Oh, I didn't measure that. Since only 3% of our visitors convert, that would have meant that we wouldn't have gotten results until next quarter." 👔 Decision Maker: "Great! Next, let's try removing the checkout page and see if we can lead the market in 'Items Left in Cart'!" Have you ever wished you could have chosen a better metric?

📈 From Clicks to Conversions: How Machine Learning Turns Browsers into Buyers 🤖🛍️ Ever been casually browsing online when the perfect product appears? It’s like the store knows you! Spoiler alert: it does—thanks to Machine Learning (ML). Here’s how ML transforms casual browsing into irresistible buying: 1. Sarah’s Story: The Unexpected Purchase 🌟 Meet Sarah. She’s shopping for a gift, clicks on a leather bag, then moves on. Moments later, she sees a pop-up: “10% off for you—on that leather bag!” Intrigued, she clicks, and the bag is hers. What happened? 🔍 Click Tracking: ML noticed Sarah lingering on the bag and sent a personalized offer, turning interest into action. 2. Predicting Intent Without Words 🤫 Sarah didn’t say she wanted the bag, but ML knew. 💡 Predictive Modeling: By analyzing her scrolling speed and behavior, the system predicted her intent and nudged her with a timely discount. 3. Personalization in Action 🎯 E-commerce feels personal because ML learns from every click to tailor your experience. 🚀 Examples: Netflix refines recommendations as you watch; online stores do the same with your browsing habits. Homepage layouts and emails adapt to your preferences. 4. Beyond Discounts: Crafting Journeys 🛤️ It’s not just about offers; it’s the whole experience: Smart Homepages: Personalized categories based on past visits. Abandoned Cart Emails: Reminders that nudge you back to purchase. 5. The Science Behind It 🔬 ML works its magic by: Data-Driven Insights: Every action teaches it what works. A/B Testing at Scale: Testing everything to optimize your journey. Perfect Timing: Nudging you exactly when you’re ready to buy. Takeaway: ML = Your Silent Salesperson 🤝 ML is the invisible force making e-commerce smarter and more personalized. It’s why Sarah bought the bag—and why she’ll come back. 💬 Your Turn: Have you ever been nudged into a purchase online? Share your experience below! Sanjit Ghosh #Ecommerce #AI #Personalization #DigitalTransformation

Shopify merchants can now use Semantic Search, our AI-powered storefront search feature to improve their business by letting customers find the products they want using everyday language, making shopping better, and boosting sales. Here’s how it works: when a customer searches for "decorative items for my living room,” Semantic Search doesn't just look at the keywords; it understands the customer is looking for items to style their space and shows the best results. This advance in AI search is more than just a new feature; it's changing the way customers shop, paving the way for a new era in commerce that benefits both Shopify merchants and their customers.

🚀 New Video Alert! 🚀We're unveiling an expert strategy for transforming your high-traffic product pages into high-conversion successes. Believing in your product but not seeing the sales can be challenging. The key might just lie in your product descriptions.🌟 The right description is your ultimate tool for engaging customers and turning browsers into buyers. Watch our video now to learn how to write the best product descriptions with a special psychological tactic: https://lnkd.in/d34pnF42 #shopify #productdescription #ecommerce #shopifystore Shopify #shopifyexperts

Hey Merchants! This is big news for all of us: Shopify has just introduced Semantic Search, an AI-powered storefront search feature that will change the way shoppers buy. Semantic Search understands your customers' everyday language. For example, if a customer types in "decorative items for my living room," Semantic Search knows they're looking for items to style their space and shows them the best results. This means that customers can find what they want more easily, leading to a better shopping experience and ultimately boosting your sales. It's a win-win for everyone! 😊 Get ready for an exciting new chapter in your Shopify journey!