E-commerce Solutions Using AI

SAVE THIS if you're running a consumer brand and want to level up your marketing with AI. I pulled together the AI tools that move the needle for online retailers. ✍️ Content & Copy That Converts:   • Rytr – Fast, affordable content at scale • Creaitor.ai – 70+ tools for SEO & copywriting • Copymatic – Copy for ads, blogs & landing pages • Writesonic – Smart content for ecommerce teams 🎨 Visual Content Creation:   • Playground AI – 1,000 free images a day • Craiyon – Quick images from any prompt • DALL·E 2 – Realistic images from text prompts • Stockimg AI – Logos, book covers, posters & more 📧 Email & Sales Optimization:   • Twain – AI email replies that boost responses • SmartWriter – AI outreach 40x faster than humans 🎥 Video Marketing:   • Luma – Realistic motion video with AI • Veo3 – Video generation via prompting • Arcads – Create videos with AI avatars • RunwayML – Pro-quality AI video generation 🔊 Audio Content: • Murf – Easy-to-use AI voice generator • ElevenLabs – Best for voice cloning & speech 📸 Photo Enhancement:   • Designs.ai – Graphic design powered by AI • PhotoRoom – Edit product shots fast & easy 📊 Market Research:   • genei – AI-powered research & analysis • CoNote – Fast UX insights and summaries Many brands will try to use every shiny new AI tool and end up with analysis paralysis. Pick 3-4 tools that solve your biggest bottlenecks, get good at them, then expand. AI should make your life easier, not more complicated. Let me know what tools you would add to this list. 

McKinsey & Company: "𝗧𝗵𝗮𝘁'𝘀 𝗛𝗼𝘄 𝗖𝗜𝗢𝘀 𝗮𝗻𝗱 𝗖𝗧𝗢𝘀 𝗖𝗮𝗻 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗠𝗮𝘅𝗶𝗺𝘂𝗺 𝗜𝗺𝗽𝗮𝗰𝘁" This McKinsey & Co report highlights how #GenAI, when deeply integrated, can revolutionize business operations. I took a stab at CPG eCommerce use case below, and thriving with generative #AI isn’t about just deploying a model; it demands a deep integration into your enterprise stack. 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀: 𝗠𝘂𝗹𝘁𝗶-𝗹𝗮𝘆𝗲𝗿𝗲𝗱 𝗚𝗲𝗻𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗖𝗣𝗚⬇️ 𝟭. 𝗖𝘂𝘁𝗼𝗺𝗲𝗿 𝗟𝗮𝘆𝗲𝗿: → The user logs in, browses personalized product recommendations, and either finalizes a purchase or escalates to a support agent—all seamlessly without grasping the backend processes. This layer prioritizes trust, rapid responses, and tailored suggestions like skincare routines based on user preferences. 📍Business Impact: Boosts customer satisfaction and loyalty, increasing conversion rates by up to 40% through hyper-personalized interactions that drive repeat purchases. 𝟮. 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Oversees user engagement: - Chatbot launches and steers the dialogue, suggesting complementary products - Escalation to a human agent activates if AI can't fully address complex queries, like ingredient allergies 📍Business Impact: Enhances efficiency in consumer support, reducing resolution times and operational costs while minimizing cart abandonment in #eCommerce flows. 𝟯. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗟𝗮𝘆𝗲𝗿: → Performs smart actions using context: - Retrieves user profile data - Validates promotions and inventory - Creates customized options, such as virtual try-ons - Advances the process, like adding to the cart 📍Business Impact: Accelerates innovation in product discovery, lifting marketing productivity by 10-40% and enabling dynamic pricing that optimizes revenue in competitive #FMCG markets. 𝟰. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗔𝗽𝗽 𝗟𝗮𝘆𝗲𝗿 → Links AI to essential enterprise platforms: - User verification and access management - Promotion rules and order processing - Support agent routing algorithms 📍Business Impact: Streamlines supply chain and sales workflows, cutting technical debt by 20-40% and improving inventory accuracy to reduce stockouts and overstock costs. 𝟱. 𝗗𝗮𝘁𝗮 𝗟𝗮𝘆𝗲𝗿 → Delivers instant contextual details: - Consumer profiles - Purchase records - Promotion guidelines - Support team directories 📍Business Impact: Powers precise AI insights, enhancing demand forecasting and personalization to minimize waste in perishable goods while boosting overall data-driven decision-making. 𝟲. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗟𝗮𝘆𝗲𝗿 → Supports scalability, efficiency, and oversight: - Cloud or hybrid setups - AI model coordination - High-speed response handling - Privacy and compliance controls 📍Business Impact: Ensures robust, secure operations at scale, unlocking value by optimizing resource use, slashing IT ops costs.

𝗠𝗼𝘀𝘁 𝗲𝗖𝗼𝗺𝗺 𝗯𝗿𝗮𝗻𝗱𝘀 𝗮𝗿𝗲 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗲𝗮𝘀𝗶𝗲𝘀𝘁 𝗔𝗜 𝗦𝗘𝗢 𝘄𝗶𝗻 𝗿𝗶𝗴𝗵𝘁 𝗶𝗻 𝗳𝗿𝗼𝗻𝘁 𝗼𝗳 𝘁𝗵𝗲𝗺. Your product feed. We’re not just talking about optimizing for Google Shopping anymore. We’re talking about shaping how AI platforms like ChatGPT and Gemini see your brand. Because here’s what’s happening right now: ↳ ChatGPT is ingesting product catalog feeds. ↳ Gemini is pulling from Google Shopping. ↳ And OpenAI has already opened a beta to submit your feed directly. If you’re not giving these models rich, complete product data, you’re losing visibility in the next generation of search. Here’s what you should be doing: ➜ Add every attribute available to your feeds (GTINs, stock, weight, etc.) ➜ Upload high-quality images (yes, plural). ➜ Push product reviews + aggregate ratings into your JSON-LD schema. ➜ Connect your store to Google Merchant Center and check for issues. ➜ Work on Google Seller Ratings to boost trust. ➜ And yes… still focus on great on-page + off-page SEO. That hasn’t changed. Too many brands still skip key attributes or forget to structure their data properly. Which means they’re the bland listing in a sea of enhanced competitors, with no stars, no reviews, and no signals of trust. The good news? This isn’t some crazy technical lift. You just need to treat your product feed like your storefront. Because now, AI 𝘮𝘢𝘺 be the future window through which your customers are looking through.

Actual stuff that works with marketing + AI (with real business results): AI-nurturing + identity layering -- By adding a first-party pixel to your site, you'll be able to enrich your visitors and see just who's visiting -- it could be a VP of Marketing at a $2B company that is reading content around your solution. Guess what? You'll have their LinkedIn URL and their e-mail address to be able to nurture. Add them on LinkedIn with a note saying: Hi NAME, Thanks for visiting the [YOUR COMPANY] site re: [whatever content they consumed]. We published something very similar recently that might also be helpful: [LINK] If you want more content like this, we published a lot and you can get access for free here: [NEWSLETTER SIGNUP LINK] If you want help around [PROBLEM], you can book a call with us here: [LINK] The 'AI-nurturing' piece of this is simply prompting the AI to look through your content library from the past 90 days and surfacing the most relevant piece of content according to their behavior. By doing this, you're not bugging them to buy your stuff all the time -- you're simply trying to provide more value. Worst case, they can opt-out at any time. Best case, you warm them up and they raise their hand. Programmatic SEO - Did you know that TripAdvisor gets over 126M visitors per month from SEO? And they rank for close to 19M keywords? Sites like TripAdvisor, Zillow, Expedia, ZipRecruiter, etc. all leverage pSEO to create pages at scale that help their users. Now with OpenAI's API, you can do the same thing. For example, if you are a national dry cleaner chain, you can optimize for keywords like: 'dry cleaner near me' 'dry cleaner [city]' 'best dry cleaners' 'top dry cleaners' You'll have thousands of permutations you can optimize for. Each page might not drive a lot of traffic, but they're high intent and when you have many of them, it'll be a net gain. AI-assisted content -- we take AI-generated transcripts for our podcasts and add a human in the loop to fact-check, add links, and add content to create complete blog posts. This decreases our costs by 62% and increases output by 200%. AI Contextual Conversion Rate Optimization - If you're doing programmatic SEO, it makes sense to think about conversion rate optimization (CRO) from an AI standpoint. By simply prompting OpenAI's API and asking it to come up with a contextual call to action on your website, you'll see better results. For example, the main call to action on your site might be 'Work With Us'. What if you had a page on conversion rate optimization services? A contextual CTA example might be 'Optimize Your Conversions'. On tests that we've run, we've seen a 57% increase in CTR and a 12% increase in conversions. Not bad considering the scalability of this tactic. What did I miss?

We work a lot with businesses with over 1,000 SKUs in their catalog, and I often get the following question: how do we handle and optimize our inventory? Tackling the complexities of managing a vast inventory (>1,000 SKUs) is a colossal task, often presenting some intriguing challenges. I see these challenges as exciting puzzles waiting to be solved. Let's unpack the most significant issues and examine the AI-empowered solutions that we have at our disposal. 👇 ☠☠ Challenges for retailers with >1,000 SKUs: ☠ Data Integrity: Fragmented data across departments can lead to compromised inventory visibility and inaccurate forecasting. It's all too common to find broken or polluted data that hampers effective decision-making. 🕵️♂️ ☠ High Return Rates: Both return rates and canceled orders can significantly erode revenue and overall profitability. 💸 ☠ Limited Product Discovery: In most large catalogs, only about 20% of products get surfaced or explored, leaving a whopping 80% of inventory underexposed. 🏔️ ☠ Inventory Management: Ensuring the right stock levels, predicting future demand, and timely restocking is crucial to maintaining a healthy retail operation. ⏲️ ☠ Personalization at Scale: As personalized shopping experiences become the norm, developing individual strategies for thousands of SKUs becomes a challenge. 👤 ✨ ✨ Solutions you should focus on with AI ✨ ✨ ✨ Integrated Data Systems: bridge the data integrity gap, enabling more accurate inventory forecasting and enhanced visibility. ✨ Predictive Analytics: helps reduce return rates by predicting trends and adjusting operations accordingly. 🎯 ✨ Enhanced Product Discovery & Personalization: Advanced algorithms can bring underexposed catalog sections to the surface, leading to better product utilization while enabling individualized shopping experiences across a large range of SKUs. 🚀 ✨ Automated Inventory Management: one can automate reordering processes, minimize stockouts, and manage overstock scenarios efficiently. 💡 ✨ Generative AI: auto-tag, clean, and enrich product catalogs, leading to an effective and seamless product management system. 🤖 We're on the brink of an AI revolution in retail that can turn these challenges into unparalleled opportunities. Let's leverage the power of AI to tackle these hurdles head-on! 🌞💫 I'd love to hear about your experiences with these challenges and solutions. Let's keep the conversation alive! 💬 #AI #eCommerce #Retail #InventoryManagement #Merchandising #Personalization #GenerativeAI