Boosting AIO: 30 actionable strategies for e-commerce

🚗 Why YMM Fitment Is the Silent Killer of Automotive E-commerce In automotive e-commerce, selling parts isn’t just about specs—it’s about proving fitment accuracy. If your catalog can’t clearly answer whether a product fits a customer’s exact vehicle, trust (and sales) disappear. The industry’s fundamental struggles with YMM data: ❌ Bloated, unoptimized catalogs slowing down websites ❌ Filters that confuse more than they help ❌ Inconsistent categories between PLPs (listing pages) and PDPs (detail pages) ❌ Customers abandoning carts because they can’t confirm fitment ❌ High return rates from inaccurate or incomplete product-to-vehicle mapping The root cause? Poorly structured Year–Make–Model (YMM) data and disconnected fitment logic. 🔧 How we solved it: We built a custom fitment tool that: ✅ Manages Year, Make, Model, SubModel, DriveType, FuelType, Lift Height, and Position with precision ✅ Aligns to AutoCare standards and leverages VCDB databases for validation ✅ Powers intelligent, fast-loading filters that guide shoppers to the right product ✅ Delivers consistent data across PLPs and PDPs for seamless customer experience The results: ⚡ Blazing-fast site performance, even with large catalogs 📈 Higher conversion rates from shoppers who trust the fitment 🔍 Reduced returns due to accurate vehicle-product mapping 🧠 Teams empowered by clean, consistent, validated data Fitment isn’t just a technical challenge—it’s a strategic advantage. When done right, it transforms how customers shop, how teams operate, and how brands grow. We’ve seen this approach transform automotive e-commerce — open to conversations with anyone facing fitment or catalog struggles. #AutomotiveEcommerce #YMMFitment #PIM #Akeneo #VCDB #AutoCare #Shopify #ProductData #CatalogOptimization #DigitalCommerce #TechConsulting #DataStrategy

🍕"Hey, order me a Margherita!” And just like that - without clicks, typing, scrolling. Just talk. At Clover Dynamics we built a voice-powered AI agent that lets you order pizza simply with your voice. What it can do:  ― Understands your commands naturally  ― Navigate you through the menu  ― Tells you about pizzas and ingredients  ― Suggests the best options, including prices  ― Takes you straight to checkout. For now it’s a pizza demo, but the same approach can be applied to any industry where convenience and speed matter, like  💊 pharmacy orders  🛡️ insurance products  🛒 any e-commerce purchase 👉 https://lnkd.in/dheUUB_k I’d love for you to try it out, play around with the prototype, and share your feedback in the comments. And if you’re curious about how a voice agent like this could work for your business, drop me few words.

🍕"Hey, order me a Margherita!” And just like that - without clicks, typing, scrolling. Just talk. At Clover Dynamics we built a voice-powered AI agent that lets you order pizza simply with your voice. What it can do:  ― Understands your commands naturally  ― Navigate you through the menu  ― Tells you about pizzas and ingredients  ― Suggests the best options, including prices  ― Takes you straight to checkout. For now it’s a pizza demo, but the same approach can be applied to any industry where convenience and speed matter, like  💊 pharmacy orders  🛡️ insurance products  🛒 any e-commerce purchase 👉 https://lnkd.in/d8ia6FhP I’d love for you to try it out, play around with the prototype, and share your feedback in the comments. And if you’re curious about how a voice agent like this could work for your business, drop me few words.

🍕"Hey, order me a Margherita!” And just like that - without clicks, typing, scrolling. Just talk. At Clover Dynamics we built a voice-powered AI agent that lets you order pizza simply with your voice. What it can do:  ― Understands your commands naturally  ― Navigate you through the menu  ― Tells you about pizzas and ingredients  ― Suggests the best options, including prices  ― Takes you straight to checkout. For now it’s a pizza demo, but the same approach can be applied to any industry where convenience and speed matter, like  💊 pharmacy orders  🛡️ insurance products  🛒 any e-commerce purchase 👉 https://lnkd.in/eacRQaGr I’d love for you to try it out, play around with the prototype, and share your feedback in the comments. And if you’re curious about how a voice agent like this could work for your business, drop me few words.

🍕"Hey, order me a Margherita!” And just like that - without clicks, typing, scrolling. Just talk. At Clover Dynamics we built a voice-powered AI agent that lets you order pizza simply with your voice. What it can do:  ― Understands your commands naturally  ― Navigate you through the menu  ― Tells you about pizzas and ingredients  ― Suggests the best options, including prices  ― Takes you straight to checkout. For now it’s a pizza demo, but the same approach can be applied to any industry where convenience and speed matter, like  💊 pharmacy orders  🛡️ insurance products  🛒 any e-commerce purchase 👉 https://lnkd.in/dJFMZ5cY I’d love for you to try it out, play around with the prototype, and share your feedback in the comments. And if you’re curious about how a voice agent like this could work for your business, drop me few words.

🍕"Hey, order me a Margherita!” And just like that - without clicks, typing, scrolling. Just talk. At Clover Dynamics we built a voice-powered AI agent that lets you order pizza simply with your voice. What it can do:  ― Understands your commands naturally  ― Navigate you through the menu  ― Tells you about pizzas and ingredients  ― Suggests the best options, including prices  ― Takes you straight to checkout. For now it’s a pizza demo, but the same approach can be applied to any industry where convenience and speed matter, like  💊 pharmacy orders  🛡️ insurance products  🛒 any e-commerce purchase 👉 https://lnkd.in/d9YZSr9A I’d love for you to try it out, play around with the prototype, and share your feedback in the comments. And if you’re curious about how a voice agent like this could work for your business, drop me few words.

Sizing is tricky. We’ve all been there: ordering two sizes “just in case,” then sending one back. For e-commerce teams, that story plays out thousands of times a month. Returns pile up, margins shrink, and customers get frustrated. At REVER, our AI-driven data helps brands understand why customers struggle with sizing and what can be improved, from product descriptions to size guides. Meanwhile, shoppers see real-time, AI-powered fit suggestions directly on the webpage, making it easier to choose the right size on the first try. Smarter sizing = Happier customers. Choose the right size, every time. Discover more on: itsrever.com

When we run a Revenue Friction Roadmap, we don’t just hand over a deck of research findings. We turn friction into testable experiments. Here are a few examples from recent work: 1. Best sellers buried too low on the homepage → Test: move best sellers into the top third of the homepage. 2. Customers couldn’t find transparent shipping costs until late in checkout → Test: surface delivery timelines + shipping thresholds earlier. 3. Homepage didn’t make product range clear—was it only one category or many? → Test: add navigation tags like “Shop All,” “New Arrivals,” and “On Sale” to the header. 4. Filters caused lag and reset after each use → Test: persistent filter menu + reorganized attributes to prioritize what matters most. 5. Similar product recommendations were inconsistent or irrelevant on PDPs → Test: implement a “Related Products” widget scoped by category. 6. Email pop-ups appeared too early, before shoppers understood the offer → Test: delay pop-up trigger until scroll depth or add-to-cart. Each test is rooted in observed customer friction. That’s how you build experiments that actually move revenue.

How many times have you had a 'shared' team log in to a platform? A generic email, a generic password so that everyone can use the platform. From a product perspective, i've often thought - these companies are leaving so much on the table, clearly their pricing model of user based pricing isn't the right fit and as such they're losing out on valuable product data where they think they are tracking the behaviour of one user - but it's actually 10. Reading Wes Bush's on Product Led Growth around pricing and packaging had such good insights on this exact dilemma - and why user based pricing probably isn't the right model. As a product marketer who deals with pricing and packaging this is definitely a must read, thanks for the recommendation Tejere O.!

📢 The game just changed for Pimcore users. We’re proud to announce our official partnership with Pimcore. Starting today, brands and retailers using Pimcore can directly plug into the XPLN ecosystem. ���️ For brands: Our Digital Shelf Analytics Suite lets you track and improve every aspect of your product listings—from availability and reviews to content and compliance. ➡️ For retailers: Our Dynamic Pricing & Retail Intelligence Suite helps you monitor competitors, win back margin, and fix stock blind spots—at scale. Both extensions are now live in the Pimcore Marketplace. No more exporting data. No more patchwork dashboards. Now you can turn Pimcore into a powerful, insight-driven growth engine. 📈 We built this because we’ve seen the same issues across every product team we’ve worked with: ❗ Too much guesswork ❗ Delayed pricing reactions ❗ Broken content across channels This integration puts end-to-end visibility directly into the systems your teams already use. Built for scale. Backed by data. Ready to deploy. We’re just getting started. Check out our extensions in the Pimcore Marketplace today. 🔗 Digital Shelf Analytics Suite (for Brands): https://lnkd.in/eDfxU6yp 🔗 Retail Intelligence Suite (for Retailers): https://lnkd.in/e4CDH752 More automation. More control. Better decisions. Let’s go! A very warm welcome also to the other new additions Productsup and CoreShop