Stackdrop’s Post

Bad code is expensive. Not just for developers, for the whole business! Slow load times. Bugs that slip into production. Costly delays every time your store needs an update. For e-commerce brands, bad code doesn’t just frustrate the tech team – it eats into conversions, revenue, and customer trust. That’s why we created the GoAI Code Assistant – a smart bot designed to make your codebase cleaner, faster, and more reliable. Here’s what it does: ⚡ Refactors & optimizes code automatically, following best practices. ⚡ Catches inefficiencies early before they become expensive problems. ⚡ Speeds up development cycles, freeing your team to focus on innovation instead of debugging. And because it’s trained to adapt to your project standards, it doesn’t feel like a generic “AI helper.” It feels like a teammate who already knows your rules. 💡 For SMBs, this means faster launches, lower dev costs, and a website that scales without breaking under pressure. Code quality isn’t just a technical detail. It’s the foundation of your e-commerce performance. With GoAI Code Assistant, every line of code works harder, so your store can run smoother. 🔗 Explore more about our AI-driven bots on our website: ai.gomage.com #GoAI #EcommerceAI #CodeAssistant #Automation #Shopify #Magento #DigitalCommerce #DevTools #Innovation

Managing a Shopify store shouldn't chain you to your desk. I built an automation that lets you upload a new product—complete with an AI-generated description, images, and inventory—just by sending a message on Telegram. My workflow, built in n8n, streamlines the entire process: A simple message on Telegram kicks it off. n8n orchestrates the data and uses AI to write a compelling description. The new product goes live on Shopify instantly. This is about giving e-commerce owners their time back. It's smart automation that solves a real-world problem. What tedious task would you automate next? hashtag #Shopify #Automation #n8n #ECommerce #AI #Telegram #NoCode

Day 6: Small Business Chatbot Myth Everyone believes chatbots only work for big e-commerce sites, but here's the truth... Small businesses are crushing it with AI chatbots! 🔥 Local restaurants taking reservations 24/7 Consultants capturing leads while sleeping Service providers scheduling appointments instantly The myth? "It's too complicated for us little guys." Reality? Modern chatbots are more accessible than your morning coffee ☕ Big corporations use them for volume. Smart small businesses use them for CONNECTION. What's one task in your business that could run on autopilot? 👇 #charitablechat #SmallBusiness #ShopSmall #SmallBiz #SupportSmallBusiness #SmallBizOwner #EntrepreneurLife

𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗾𝘂𝗶𝗲𝘁𝗹𝘆 𝗺𝗮𝗱𝗲 𝗔𝗜 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝘄𝗮𝘆 𝗲𝗮𝘀𝗶𝗲𝗿. 🛒 They dropped 𝟯 𝘁𝗼𝗼𝗹𝘀 that let you plug shopping directly into AI agents — no messy integrations, no marketplace headaches: 🛍 𝗖𝗵𝗲𝗰𝗸𝗼𝘂𝘁 𝗞𝗶𝘁 – embed widgets + checkout inside your agent (Microsoft Copilot is already using it) 🔍 𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗖𝗮𝘁𝗮𝗹𝗼𝗴 – low-latency product search across millions of merchants 🛒 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗖𝗮𝗿𝘁 – shop from any store, anywhere, in one cart For builders, this means you can launch embedded commerce experiences instantly — starting with the world’s best products, without signing up each merchant individually. 𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗿𝗶𝗴𝗵𝘁 𝗶𝗻𝘀𝗶𝗱𝗲 𝘁𝗵𝗲 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻. The way it should be. #AI #Commerce #Shopify #Ecommerce #Agents

Martech Chronicles: Where Bytes meet Banter (Part 56) 𝐅𝐫𝐨𝐦 𝐋𝐨𝐧𝐠 𝐓𝐚𝐢𝐥 𝐭𝐨 𝐇𝐲𝐩𝐞𝐫𝐭𝐚𝐢𝐥 𝐢𝐧 𝐌𝐚𝐫𝐭𝐞𝐜𝐡 For years, we’ve seen the long tail of martech: a few big platforms dominating the head and torso, followed by thousands of startups and niche players in the tail. But the game is changing. Companies aren’t just picking from existing tools anymore — 𝐭𝐡𝐞𝐲’𝐫𝐞 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐭𝐡𝐞𝐢𝐫 𝐨𝐰𝐧: 🔧 𝐈𝐓-𝐛𝐮𝐢𝐥𝐭 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 for custom ops 🙋 𝐂𝐢𝐭𝐢𝐳𝐞𝐧-𝐛𝐮𝐢𝐥𝐭 𝐚𝐩𝐩𝐬 with no-code tools 🤖 𝐀𝐠𝐞𝐧𝐭-𝐛𝐮𝐢𝐥𝐭 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 powered by AI This explosion of custom-built solutions creates what’s now called the 𝐇𝐲𝐩𝐞𝐫𝐭𝐚𝐢𝐥 — an effectively infinite extension of software choice. What does this mean for tech stacks? They’ll be a blend of 𝐜𝐨𝐦𝐦𝐞𝐫𝐜𝐢𝐚𝐥 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 + 𝐜𝐮𝐬𝐭𝐨𝐦 𝐚𝐩𝐩𝐬. Orchestration and governance will matter more than ever. Platforms that can act as the 𝐜𝐞𝐧𝐭𝐞𝐫 𝐨𝐟 𝐠𝐫𝐚𝐯𝐢𝐭𝐲—tying together apps, agents, and automations—will be especially valuable. 👉 In short: the future isn’t just about buying software. It’s about building it, blending it, and orchestrating it. Do you think most companies will follow Klarna's lead and “ditch” major platforms for their own builds? Or will the sweet spot be a hybrid stack? #MarTech #MarketingOps #Automation #NoCode #AI

An e-commerce brand asked us this week: “How fast can we launch?” Totally fair question. But in support, speed usually isn’t the hard part. Most of KODIF's clients launch their first few use cases in days, then layer on more complex ones over the following weeks. But the real answer is what Kelsey Moburg said: “As fast as we can go while still doing it right.” This brand holds itself to a high bar. Their customers do, too. They want AI to handle repeatable (but still complex) tickets and keep CSAT high. There’s a lot of pressure to do more with less. This makes total sense, but it also highlights why AI in support is tricky and why selling it is tricky, too. Because when we launch, it has to work. And not just work—it should perform on par (or better) than your best human agent. AI in support isn’t a feature you plug in, it’s the operating system for how your team runs. So yes, we’ve got a slick demo, but that’s arguably the easy part. The hard part is helping a team imagine a different way of working and then launching the right use cases, in the right order, across the right channels, with the right hand-off models, all rooted in their data. It means asking the right questions upfront: What outcomes actually matter? How operationally ready are they? What does “good” look like in their environment? What are the non-negotiables on quality, metrics, and coverage? That’s what dictates how fast we can launch. And whether it actually sticks! #aiincx #customersupport #supportops #cxstrategy #ecommercecx #csat #kodif

⚠️ The truth about no-code nobody wants to admit: it breaks at scale. ❌ Timeouts when traffic spikes ❌ API limits you can’t control ❌ Silent data losses that cost real money That’s why growing SaaS, Fintech, and E-commerce companies are moving from fragile no-code workflows (Zapier, n8n, Make) → to production-grade automations they own. At Orora AI, we rebuild workflows into systems that are: ⚡️ 10x faster in execution 🛡 Reliable under real-world pressure 🔧 Fully customizable & under your control This is the future of automation: scalable, owned, and built for growth. 👉 Follow Orora AI for insights, case studies, and strategies to take your automations beyond no-code.

How do we manage our fast growth? There aren't a lot of secrets, but we do have a handful of AI apps at the core of our operations. 👇 The most used app is called Avengers. We built Avengers in Databutton and it now serves as our single source of truth on customer success. From user management to activity tracking and analytics, Avengers keeps our very human support efficient. Some of its core features: - Full overview of all customers and their apps - Individual user history and summary - Find previous customer support tickets - Overarching user analytics Avengers didn't start out like that, though. It started with a specific problem: fetching user activity from the database. Our GTM team built from there. And continuously improve it. That's the power of building your own internal tools: you make it a workhorse that operates on your behalf, not the other way around. When anyone can build, tweak, or improve software you get a lot more stuff done. Go build.

🚨BigCommerce is now Commerce.com.🚨 Alongside Feedonomics and Makeswift, they’ve unveiled a bold vision for “agentic commerce.” In short: AI shopping assistants that act for the customer—discovering, comparing, and even purchasing products on their behalf. That’s a huge pivot. It raises big questions: • Will this make shopping more efficient, or remove the joy of browsing? • How will brands compete when the “buyer” is an AI agent, not the customer themselves? • Could this change how loyalty, discovery, and product differentiation even work? We’ve all talked about AI helping merchants—but now it’s stepping in on the customer side. What do you think? Would you let AI shop for you? Or do you prefer to browse, compare, and decide yourself? #ecommerce #bigcommerce

The no-code revolution not only streamlines processes, but it also redefines who can innovate. Today, 70% of new business applications will be created with low-code/no-code tools by 2025, according to Gartner. This allows marketing and e-commerce teams to launch MVPs, test funnels, and automate without relying entirely on IT. Less friction, more results. Digital transformation is not the future, it's the present. Discover how to make it a reality for your company here: www.digiway.com #DigitalTransformation #NoCode #EcommerceStrategy #DigitalMarketing #CustomerExperience #Innovation