Ecommerce

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How Anua Unlocked 5X AOV Growth with iCart’s Smart Cart Features

delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business delivery customization Challenges Solutions drive results Scale business Anua is a globally recognized Korean skincare brand known for its minimalist philosophy and focus on gentle yet effective formulations. Built on the idea of simplifying skincare routines, Anua develops products that deliver visible results while avoiding harsh or irritating components, making them suitable for sensitive skin types. Initially using a traditional full cart experience, Anua transitioned to iCart’s side cart solution in August 2025, to create a more seamless and engaging shopping journey. This shift allowed customers to easily explore complementary skincare products without disrupting their browsing flow, making it more intuitive to discover items that fit into a complete routine. By surfacing relevant recommendations directly within the cart, the brand enhanced product visibility across its range. Challenges Before implementing iCart’s side cart solution, Anua faced limitations with their existing full cart experience, which created friction in the customer journey. The traditional cart setup redirected users away from product pages, interrupting their browsing flow and reducing opportunities to explore additional products. As a skincare brand built around routines rather than single-item purchases, this made it difficult to effectively showcase complementary products and encourage customers to build complete regimens. Additionally, the lack of in-cart personalization and strategic upsell opportunities meant that customers were often unaware of related products that could enhance their skincare results. This limited the brand’s ability to increase average order value (AOV) and fully leverage its diverse product range. Anua needed a more dynamic and intuitive cart experience that could seamlessly introduce relevant recommendations while maintaining a smooth and engaging shopping journey. ❌ Cart Value Barriers Low average order value (AOV) due to single-item focus Most customers completed purchases with one primary product instead of building multi-step routines. Cart abandonment near shipping thresholds Customers were not clearly informed or motivated to reach free shipping or discount thresholds. Missed savings opportunities Customers were unaware of potential value in purchasing bundled routines or multiple complementary products. ❌ Absence of Progress-Based Incentives No free shipping or discount progress bar Customers were not motivated to increase their cart value due to lack of visible incentives. Missing tiered rewards system There were no structured milestones (e.g., “Spend more to unlock offers”), reducing upsell opportunities. ❌ Ineffective Cart UI/UX (Pre-Side Cart) Full-page cart disrupted shopping flowCustomers had to leave their browsing journey, increasing friction and drop-offs. No quick add/remove functionality Users couldn’t easily modify their cart or add suggested products without navigating away. Solution To overcome these challenges, Anua implemented iCart’s side cart solution to transform their traditional cart into a high-converting, interactive experience. By replacing the full-page cart with a seamless side cart, the brand ensured that customers could continue browsing while viewing their cart, significantly reducing friction in the shopping journey. Additionally, features like product recommendations & progress bars for free shipping and discounts motivated customers to increase their cart value. By combining personalization, incentive-driven messaging, and a user-friendly interface, Anua successfully turned their cart into a powerful revenue-driving touchpoint rather than just a checkout step. To maximize their cart effectiveness, they implemented two powerful features: ✅ Progress Bar with Multi-Reward Incentives Implemented a tiered progress bar to encourage higher cart value Customers are guided with a clear message like “Add $3.10 to unlock secret offer,” motivating them to continue adding products. Generated over $5M+ in revenue through incentive-driven cart progression Used product-based rewards to align with customer intent Instead of generic discounts, Anua incentivized purchases with relevant skincare items like Dark Spot Pads and mini serums. Built visual motivation for routine expansion As customers add products, they can clearly track progress toward unlocking multiple rewards, encouraging them to build a complete skincare routine. ✅ Product Recommendations Implemented “Frequently Bought Together” recommendations Customers adding a single product (e.g., toner) are shown complementary items like serums, moisturizers, or pads to complete their routine. Generated over 275K revenue through in-cart recommendations Encouraged full skincare regimen building Instead of isolated purchases, the cart suggests step-by-step product combinations aligned with common skincare routines. Increased product discovery at the final stage By surfacing relevant items directly in the cart, Anua ensured customers explore more of their catalog without leaving the checkout flow. Results Achieved in Last 180 Days 22932 Total Store Orders 45101 Total iCart Orders 5X iCart Generated AOV 65.70% Upsell Affected Conversion Rate These improvements reflect a clear shift in customer behavior on Anua’s store. Cart abandonment reduced as shoppers discovered complementary skincare products and felt encouraged to build complete routines. Engagement also increased, with customers interacting more with in-cart recommendations and exploring relevant product pairings. Results & Impact And...Results is Our Main Clarification By implementing iCart’s cart drawer, product recommendations, and progress bar, Anua transformed its cart into a high-performing conversion touchpoint. Shopping Experience Enhancement The improved cart experience encouraged customers to discover complementary products and understand the value of sustainable beauty routines. For instance, the clear presentation of subscription savings alongside one-time purchase options helped customers make more informed decisions about their long-term hair care needs. As Anua continues to optimize its cart experience, the brand is closely monitoring: Routine-based purchasing behavior - tracking how customers move from single items to multi-step regimens Engagement with in-cart recommendations - measuring interaction with suggested products Cart value progression - analyzing how incentives influence higher spending [related_cases_slider] Ready to Write Your Success Story? Try icart App Join successful businesses like Anua and Master your delivery scheduling Delight customers with precise timing Grow your special occasion orders Expand your delivery reach

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8 Min • 24 July 2026

Shopify vs Volusion: The Full 2026 Comparison (And Where BigCommerce Fits In)

Shopify is a much better choice as compared to Volusion because of its superior features. Shopify offers unlimited products, a much larger app and theme ecosystem, stronger POS tools, and no GMV-based sales caps. Volusion is suitable for smaller stores that prefer simpler operations. Shopify vs Volusion comes up constantly when store owners start comparing ecommerce platforms. The gap between them has only gotten wider in 2026. Volusion still works for a small, specific type of merchant. Shopify has spent the past year adding AI-driven selling tools, a much bigger app store, and pricing built for real growth. I'll walk through pricing, features, and reliability for both platforms, and I'll show you exactly where BigCommerce lands if you're weighing all three. Shopify vs Volusion at a glance If you want the short version: Shopify is the better pick for almost every new store in 2026. Volusion still makes sense for merchants already running on it who don't want the hassle of switching or who genuinely need its low-transaction-fee structure at low sales volume. Here's the quick breakdown before we get into details. #ShopifyVolusionBigCommerceStarting price$39/mo ($29 annual)$35/mo$39/mo ($29 annual)Product limitUnlimited, all plans100 on entry planUnlimited, all plansPlatform transaction feesYes, unless using Shopify PaymentsNo gateway maintenance fee with preferred providers; 1.25%–0.35% on non-preferred gateways, depending on plan 0% with Embedded Payment Providers; 2%, 1% or 0.6% with Open Payment Providers, depending on plan App marketplace16,000+ apps84 marketplace listings, including integrations and services1,200+ appsSales cap per planNoneYes, by GMVYes, by GMV Shopify vs Volusion pricing compared Shopify costs more upfront. It does remove the sales caps that Volusion's plans have. Volusion is cheaper at the entry level and skips platform transaction fees entirely, but it locks lower tiers behind strict yearly revenue limits. Here's how the current plans stack up. Shopify Plans in 2026 PlanMonthly costAnnual costNotesStarter$5/moN/ABuy Button and social selling only, no full storefrontBasic$39/mo$29/moFull store, unlimited productsGrow$105/mo$79/moFormerly called the "Shopify" planAdvanced$399/mo$299/moLower card rates, more staff accountsPlusFrom $2,300/mo3-year termEnterprise checkout and B2B tools If you want a complete pricing breakdown, my guide to Shopify pricing breaks down which plan actually fits your store size. Volusion pricing in 2026 PlanMonthly costMax GMV/yearProduct limitStaff accountsPersonal$35/mo$50K1001Professional$79/mo$100K5,0005Business$299/mo$400KUnlimited15PrimeCustomUnlimitedUnlimitedUnlimited Pricing changes over time on every platform, so treat these numbers as a snapshot and confirm current rates before you commit. Volusion vs Shopify vs BigCommerce: Where does BigCommerce fit? BigCommerce sits in an interesting spot between the two. It matches Shopify's unlimited products and staff accounts, but it shares Volusion's feature of capping plans by yearly sales volume. If you're deciding between Shopify, Volusion, or BigCommerce, BigCommerce is usually the pick for merchants who want more built-in functionality and don't mind installing fewer apps overall. BigCommerce pricing in 2026 PlanMonthly costAnnual costGMV thresholdCore$39/mo$29/moAuto-upgrades above $30KGrowth$105/mo$79/moAuto-upgrades above $100KScale$399/mo$299/mo0.9% overage above $33,333/moPerformanceCustom pricingStarts at $1,499/month, billed annually Custom BigCommerce added a new Open Payment Provider Fee on self-service plans: 2% on Core, 1% on Growth, and 0.6% on Scale, charged on orders processed through a gateway outside its approved list (Stripe, PayPal/Braintree, Adyen, and Checkout.com are exempt). I don’t think BigCommerce's old "we never charge transaction fees" pitch against Shopify fully holds anymore unless you stick to an approved processor. I cover the full breakdown in my BigCommerce vs Shopify comparison if you want to weigh it against Shopify specifically. Features compared: Apps, payments, themes, and POS Shopify's app ecosystem is the biggest gap between all three platforms. Shopify's App Store now lists more than 16,000 apps. Volusion has more than 80 native integrations. BigCommerce lands in the middle with over 1,000+ marketplace apps and stronger native features that reduce how many apps you need in the first place. I noted a few other differences as well: > Payment gateways Shopify integrates with more than 100 payment providers. BigCommerce supports over 130 payment solutions, including 21 Embedded Payment Providers that avoid its Open Payment Provider Fee. Volusion also supports several established gateways. > Point of sale Shopify has the most developed POS ecosystem, with hardware you can buy directly and a POS Pro add-on for multi-location retail. Volusion's POS support exists but is far less polished. > Themes Shopify has the largest overall theme ecosystem, with 1,000+ free and premium themes. BigCommerce offers a smaller selection of free and paid themes, while Volusion provides 24 no-cost themes but has a more limited overall third-party theme ecosystem. Platform reliability and company history Shopify is publicly traded, has been profitable for several years, and continues investing heavily in its platform. Volusion filed for Chapter 11 in 2020 and was acquired by Newfold Digital, the company behind Bluehost and HostGator, in 2021. It's continued operating since under new leadership, and it's still PCI DSS compliant with a full security program in place, but that history is worth knowing if platform longevity factors into your decision. BigCommerce is also publicly traded and posted its first full year of GAAP profitability in 2026, which gives it a similar stability profile to Shopify. None of this means Volusion is unsafe to build on today. It means you're choosing a platform with a smaller team and a narrower recovery margin if things go wrong again. Shopify, Volusion, or BigCommerce: Which one is better? Choose Shopify if: You're starting a new store and want the largest app and theme selection. You plan to sell through multiple channels. You want built-in POS for a physical retail location. You expect meaningful growth and don't want a sales cap slowing you down. Pick Volusion if: Your sales volume is modest and predictable, and avoiding transaction fees matters more than app selection. You don't need a built-in blog or a large third-party app catalog. Choose BigCommerce if: You want more features built in in exchange for installing fewer apps. Your store has strong B2B or wholesale requirements. You're comfortable managing GMV thresholds and the new payment provider fee structure. Migrating to Shopify in 2026 If you are on Volusion and planning to migrate to Shopify, it’s easier than most merchants expect. You'll want to export your product catalog, customer records, and order history from Volusion, then map that data into Shopify's format before import. Rebuilding your theme and setting up 301 redirects for every changed URL protects the SEO equity you've already built. Most small to mid-sized stores complete this in two to four weeks. I've written a full walkthrough covering migrating from Volusion to Shopify step by step, from backup through launch. If BigCommerce is the platform you're leaving instead, my BigCommerce to Shopify migration guide covers that path in the same level of detail. The bottom line Shopify vs Volusion isn't really a close contest anymore. Shopify wins on apps, themes, payment flexibility, and growth. On the other hand, BigCommerce is a legitimate alternative if you want more built-in in exchange for a smaller app catalog. Volusion still has a place for merchants already comfortable there or who do not want transaction-fee-free sales. Whichever direction you go, run the numbers on your actual sales volume and app needs before committing. The up-front price rarely tells the whole story. FAQs 1. How to migrate from Volusion to Shopify? Export your products and customer records from Volusion, format them using Shopify’s CSV templates, and import them into your new Shopify store. For order history, custom fields or a large catalogue, use a Shopify migration app, then rebuild your theme, configure payments and shipping. Add 301 redirects and test the store before transferring your domain. 2. Who is Shopify's biggest competitor? WooCommerce is Shopify’s biggest competitor when measured by overall website adoption. BigCommerce is one of Shopify’s closest direct competitors in the hosted SaaS ecommerce market because both provide managed hosting, built-in commerce tools and plans for growing and enterprise businesses. 3. How much does it cost to migrate to Shopify? Shopify does not charge a fixed migration fee. A small store can migrate manually with CSV files at no additional cost beyond its subscription, which starts at $39 per month or $29 per month with annual billing. Migration apps will charge according to the number of products, customers and orders transferred, while Shopify Partners set their own prices for custom migrations. 4. Is Shopify better than Volusion in 2026? For most ecommerce businesses, Shopify is a better choice because it supports unlimited products across its main plans and offers more than 16,000 apps for extending store functionality. Volusion is a good fit for smaller stores, but its lower plans limit the number of products you can sell and how much revenue your store can generate

10 Min • 21 August 2026

PIM for Shopify: Benefits, Costs & Best Tools for Merchants

PIM (Product Information Management) for Shopify is a centralized system that helps merchants manage, enrich, and distribute accurate product data across Shopify, marketplaces, and other sales channels. It improves data consistency, reduces missing product information, supports faster catalog updates, lowers return risks, and strengthens multi-channel selling. Popular PIM options for Shopify include Plytix, Sales Layer, Apimio, Jasper PIM, Akeneo, Salsify, inRiver, and Pimcore. Most Shopify stores lose sales because the information around their products is inconsistent or confusing to customers. A PIM for Shopify fixes that by giving you one clean source of info for every title, spec, image, and attribute, then pushing it out everywhere you sell. Better product data helps you get more revenue, fewer returns, and products that actually show up when a shopper asks an AI what to buy. I'll walk you through what a PIM really does for a Shopify store, whether you need one yet, and what the good options cost in 2026. What is a PIM for Shopify? A PIM (product information management) system is a central hub where you create, enrich, and manage all your product data. For a Shopify store, a PIM sits alongside your admin and gives clean, complete, consistent product content into Shopify and out to marketplaces, feeds, and AI channels. Shopify already stores product data. A PIM is different because it's built for scale and structure. You get flexible attribute models, validation rules that catch missing or wrong fields, and digital asset management for images and videos. The reason store owners search for a PIM is that their catalog has grown, the channels multiplied, and keeping product data accurate has become difficult. How does better product information turn into more sales? 1. Fewer returns and refunds Returns are one of the first places where inconsistent product data starts eating into margins. The National Retail Federation estimates the average retail return rate at nearly 17%, with returns costing retailers close to $850 billion annually. Accurate sizing, specifications, images, and product descriptions reduce the gap between what customers expect and what they actually receive. 2. Higher conversion and less abandonment Incomplete product information can send shoppers directly to a competitor. Akeneo found that: 70% of consumers would choose a different product when information is missing. 65% would abandon the purchase completely. This is where a Product Information Management (PIM) system becomes useful. A PIM can enforce mandatory product attributes before a SKU is published. For example, every product can be required to include: Dimensions Materials Care instructions Product specifications Multiple product images Instead of relying on someone to notice missing information manually, the system helps prevent incomplete product listings from reaching the storefront. 3. Better Visibility in AI Shopping Channels In 2026, consistent product data matters beyond your Shopify storefront. It also affects how products appear in AI-powered shopping experiences. Shopify has expanded product discovery through channels such as: ChatGPT Perplexity Microsoft Copilot Google AI Mode These systems rely heavily on structured and complete product information to understand what a product is, who it is suitable for, and when it should be recommended. A product with: A vague description, missing GTIN, limited specifications, and a few structured attributes gives an AI shopping assistant far less information to work with. For a deeper understanding of how to rank in AI engines, read my breakdown on best practices for AEO in Shopify stores in 2026. Do you actually need a PIM for Shopify yet? A lot of Shopify stores don't need a standalone PIM. If you sell a few hundred products on one or two channels and your data is manageable, Shopify's native tools should be your choice. Shopify's metafields and metaobjects are the reason. Metafields let you add structured custom fields to products, variants, collections, and more, so you can store specs, size guides, and warranty details that Shopify's default fields don't cover. Metaobjects let you build reusable content objects, like a brand or a care guide, and connect them across many products. If you're not using them yet, here are a few of my guides and articles you can go through. Shopify metafields guide How to add product metafields Shopify metaobjects guide What to look for in a PIM for Shopify? Focus on five things: How does it connect to Shopify? How flexible is its data model? How well does it handle assets? How does it syndicate to channels? How does it keep data clean? Connection comes first, and it splits into two camps. Some PIMs offer a native Shopify integration or a listed Shopify app, so product data flows straight into your store with minimal setup. Others connect through a middleware layer or a third-party connector, which works but adds a moving part to maintain. If you search "PIM for Shopify app," you're looking for that first camp, and it's the smoother path for most stores that don't have a developer on call. Check the current Shopify App Store listing and recent reviews before you commit, since integrations and pricing change often. Beyond the connection, here's what actually matters: A flexible data model and taxonomy, so you can define the exact attributes your products need and enforce them. Data validation and governance, so incomplete or malformed data can't reach your storefront. Digital asset management for images and video, ideally with variant-level control. If you want icons and trust badges on product pages, our guide on displaying images with metafields shows the native version of the same idea. Channel syndication and localization, so one enriched record can publish to Shopify, marketplaces, feeds, and AI channels in the right format each time. Automation and AI enrichment to fill gaps, generate copy, and score data quality, which saves the most tedious hours. If a tool nails those five and connects cleanly to Shopify, it'll serve you far longer than one that just has a long feature list. A PIM Is Only as Good as Its Integration The value of a PIM also depends heavily on how well it connects with Shopify and the rest of a merchant's technology stack. When a native connection does not cover the required workflow, Identixweb develops custom Shopify integrations that help businesses connect product data and other systems around their specific operational requirements. Best PIM for Shopify in 2026 Plytix Plytix is a common starting point for growing brands because it offers a free tier for smaller catalogs and supports unlimited users. Its paid plans scale based on SKU requirements, making it suitable for businesses that expect their catalogs to grow over time. Akeneo Akeneo is designed for businesses that need advanced product information management across large catalogs, teams, markets, and languages. Salsify Salsify combines product information management with broader product experience and syndication capabilities, making it more suitable for brands distributing product data across multiple channels. Pimcore Pimcore supports sophisticated product data models and is often considered when businesses need greater flexibility around product information, digital assets, and other connected data. Sales Layer, Apimio, and Jasper PIM Sales Layer, Apimio, and Jasper PIM target a similar segment. They are generally suited to brands that need: Centralized product information Better product data consistency Multi-channel syndication Easier catalog management Shopify integration without a complex enterprise implementation What does a PIM for Shopify actually cost in 2026? PIM pricing in 2026 runs from free to well over $50,000 a year, and the plan name matters less than your catalog complexity. Most SaaS PIMs price by the number of SKUs, users, channels, and outputs, while enterprise platforms quote custom deals you won't see without a demo. Here's the rough shape of the market, based on current published pricing and PIM cost breakdowns from vendors like Plytix and Akeneo: Free and entry SaaS tiers cover small catalogs, often up to around 1,000 SKUs, with limited features. Good for testing the idea. Mid-market SaaS plans commonly start in the few-hundred-dollars-a-month range and scale with SKU count. Plytix, for example, publishes a Pro tier starting around $499 a month for larger catalogs, and other SaaS PIMs sit in a similar band. Enterprise platforms like Akeneo, Salsify, and inRiver don't publish full pricing. Budgeting guidance from these vendors points to five figures a year and up once services are added, and first-year totals can climb much higher with implementation. PIM for Shopify Plus and high-volume catalogs For Shopify Plus and high-volume stores, a PIM shifts from optional to close to essential, because the whole reason you're on Plus is scale, and scale is where manual product data breaks. The specific wins for a PIM on Shopify Plus: One source of truth across multiple Plus storefronts and regions, so a single edit propagates everywhere instead of being redone per store. Localization at scale, with translated attributes and region-specific data flowing to the right storefront automatically. B2B and wholesale support, where different buyers need different data, pricing, and catalogs from the same underlying products. Governance and workflows, so a team of merchandisers, marketers, and suppliers can all contribute without corrupting the catalog. How to roll out a PIM the right way? To close out this blog, here's the sequence I'd follow: Audit your current data first. Pull your catalog, find the gaps, the duplicates, and the inconsistencies. You'll fix these no matter which tool you pick, so do it before you buy. Design your attribute model before importing anything. Decide the fields every product must have, the allowed values, and the rules. A governed model is what keeps a PIM clean six months later. Start with a pilot, not the whole catalog. Migrate one category or your best-sellers, get the Shopify sync working end-to-end, and confirm the data lands correctly on your storefront and channels. Assign ownership. Someone has to own product data quality, or the system slowly drifts back to the mess you were escaping. Then scale. Roll out category by category, syndicate to your channels, and layer in automation and AI enrichment once the foundation is solid. FAQs 1. What is PIM for Shopify? A PIM system for Shopify is software that centralizes, organizes, and manages product data such as titles, descriptions, specifications, images, variants, and attributes before syncing it to your Shopify store and other sales channels. It is useful for merchants with large catalogs because it helps maintain accurate, consistent product information across channels. 2. Is Shopify a PIM system? No. Shopify stores and manages product data, and its metafields and metaobjects add structured custom fields, but it lacks the multi-channel syndication of a dedicated PIM. For a single store with a small catalog, native Shopify is often enough. For large catalogs across many channels, a PIM will help. 3. What is the best PIM for Shopify? For most small and mid-sized stores, Plytix, Sales Layer, or Apimio fit well and connect to Shopify easily. For large, complex catalogs, enterprise platforms like Akeneo, Salsify, or inRiver are a better choice. 4. Do I need a PIM system for Shopify multi-channel selling? If you have thousands of SKUs, multiple variants of products, and content that is localized and sold across global markets, you need a PIM system for Shopify multi-channel selling.

10 Min • 9 July 2026

How AI Agents Can Sell From Your Shopify Store (Shopify MCP Server Explained)

Your next shopper may not start on your homepage. They may start in ChatGPT, Microsoft Copilot, Google AI Mode, Gemini, or the Shop app. Shopify Agentic Storefronts and MCP make it possible for these AI experiences to discover products, understand store data, and guide shoppers toward checkout. This is a connective layer that lets AI agents search your catalog, build a cart, and hand a shopper straight to checkout. I have spent the past few months testing this setup on live stores, and this guide covers exactly where things stand today. What is a Shopify MCP server? A simple explanation Model Context Protocol, or MCP, is an open standard from Anthropic that lets AI models talk to outside tools and data using one shared format. In simple terms, UCP defines the shopping flow, and MCP gives AI agents a standard way to call those shopping tools. Shopify uses UCP as the commerce rulebook and exposes those UCP-powered shopping capabilities through Shopify MCP servers. In simple terms, UCP defines the shopping flow, and MCP gives AI agents a standard way to call those shopping tools. UCP is an open framework Shopify co-developed with Google, and it defines how an agent proves who it is, searches a catalog, builds a cart, checks out, and tracks an order, all through a consistent set of rules. Shopify's MCP servers are the implementation of that framework. Here is where a lot of confusion starts. There is no single "Shopify MCP." There are two different things people usually mean when they say “Shopify MCP.” Storefront MCP is for shopping agents. It helps AI agents search products, manage carts, answer policy questions, and move shoppers toward checkout. Shopify AI Toolkit / Dev MCP is for developers. It helps Claude Code, Cursor, Codex, VS Code, and similar tools work with Shopify docs, GraphQL schemas, Liquid validation, CLI workflows, apps, and themes. How does the Shopify MCP server power AI agents? Every eligible Shopify store gets a live Storefront MCP endpoint by default, reachable at https://{yourstore}.myshopify.com/api/mcp, with a second UCP-specific endpoint at /api/ucp/mcp for catalog search. No developer, code, or apps are required here. This single server handles the entire buyer journey in four stages. Stage 1: Negotiate and authenticate Every agent presents a profile that tells Shopify who it is. Based on that profile, Shopify assigns a trust tier, and the tier decides how much an agent can do on its own. Stage 2: Discover products Agents search your catalog through search_catalog, lookup_catalog, and get_product. Shopify also runs a cross-store Global Catalog, so an agent can search millions of products from every Shopify merchant at once, then narrow down to yours. Stage 3: Build a cart and check out The get_cart and update_cart tools let an agent add items and fetch pricing. When the shopper is ready, create_checkout converts that cart into a real checkout session, calculating tax, shipping, and totals against your live store settings. Stage 4: Monitor the order After purchase, get_order and order webhooks let an agent or the shopper check fulfillment status, refunds, and shipping updates without emailing your support team. For the vast majority of agents today, checkout does not complete inside the chat window. The agent receives a continue_url and hands the shopper to your actual Shopify checkout to finish paying. If the shopper is redirected to your Shopify checkout, your normal checkout experience is mostly preserved. But if the shopper uses an AI channel’s Shopify-powered direct checkout, some checkout customizations may not appear, especially upsells, custom fields, loyalty blocks, custom pixels, subscriptions, bundles, digital products, pickup, and local delivery. Shopify storefront MCP vs the Shopify AI toolkit Storefront MCP is consumer-facing. It is what powers a shopper's conversation with an AI agent that wants to buy something from your store. You do not build this. Shopify runs it for you. The Shopify AI Toolkit is a developer-facing project. Shopify open-sourced it in April 2026, and it connects coding assistants like Claude Code, Cursor, and VS Code to Shopify's documentation, GraphQL schema, and CLI so a developer can build themes, apps, and integrations faster. The Toolkit's Dev MCP server gives an AI coding agent live access to Shopify's platform knowledge. This does not include your storefront's live sales data. If someone asks you about MCP for Shopify and mentions building an app or theme, they mean the AI Toolkit. If they mean letting ChatGPT or Claude sell your products to a shopper, they mean Storefront MCP. Shopify's own AI assistant lives inside your admin and helps you run the store rather than helping outside agents sell from it. I go deeper on what Sidekick can actually do in my Shopify Sidekick use case guide if you want the full picture of Shopify's native AI tools. How to get started with Shopify MCP: For store owners Go to Sales channels > Agentic in your Shopify admin. From there you can: See which AI channels have access to your products through Shopify Catalog. This can be ChatGPT, Microsoft Copilot, Google AI Mode, Gemini, and Shopify's own Shop app. Turn off Allow Shopify to manage for me if you want manual control instead of automatic enrollment in new AI channels. Deactivate direct checkout on channels that support it, so shoppers are always redirected to your own checkout instead. Preview how your products actually appear in AI catalog search results. A few requirements gate eligibility: You need your Terms of Service, Privacy Policy, and Return and Refund Policy filled out under Settings > Policies, Your products need to sell to US buyers, You need to accept Shopify's Agentic Storefronts Supplemental Terms of Service. B2B-only products and anything on OpenAI's prohibited list will not surface in ChatGPT results. An agent can only sell what it can understand, so titles, descriptions, variant details, and policy answers need to be complete and specific. This overlaps heavily with answer engine optimization work, and I have a full breakdown of that in my Shopify AEO and GEO guide if you want to tighten up how your store reads to any AI system. Claude Code Shopify MCP: Setup for developers and agencies If you are building something custom, testing the protocol directly, or wiring Claude into your day-to-day store management, this is the section for you. For coding work, the recommended path is the Shopify AI Toolkit plugin. Inside a Claude Code session. claude plugin install shopify-ai-toolkit@claude-plugins-official claude mcp add --transport stdio shopify-dev-mcp -- npx -y @shopify/dev-mcp@latest Restart Claude Code, and the plugin gives your session access to Shopify's live GraphQL schema, Liquid validation, and CLI commands. You need Node.js 18 or higher. The Dev MCP server does not require authentication because it connects to Shopify developer resources such as docs and schemas. However, if you use Shopify CLI or store-execution capabilities to work with a real store, you should expect authentication and permissions to matter. I walked through that exact process end to end, screenshots included, in my Claude and Shopify connection guide. This includes how to scope the token to read-only access so Claude can answer questions without being able to change anything until you are ready to grant write access. What happens at checkout when an AI agent buys from you Merchants ask me this more than anything else. In almost every real case today, the buyer finishes payment on your Shopify checkout, either inside an in-app browser (ChatGPT) or a new browser tab. You remain the merchant of record. The order lands in your admin with channel attribution showing it came from an AI referral, same as any other sales channel. But some checkout blocks, particularly custom fields, upsell prompts, or specific validation rules, may not render inside an agentic storefront's direct checkout the same way they do on your normal storefront checkout. The purchase still completes correctly, but any app-based messaging tied to those blocks might not show up. If you rely heavily on checkout customization for revenue, it is worth auditing this now. My Shopify Checkout Blocks guide covers what each block type does if you need to check what is at risk. To wrap it up, here’s a checklist to get started with Shopify MCP AreaWhat to checkAgentic settingsGo to Sales channels > Agentic and review which channels have Shopify Catalog access.Product dataMake titles, descriptions, variants, images, price, and availability complete. Shopify says these fields are structured for AI channels through Shopify Catalog. PoliciesAdd Terms of Service, Privacy Policy, and Return/Refund Policy. These are required for ChatGPT and direct checkout eligibility.US sellingCheck whether the store sells to US customers. ChatGPT and Copilot require selling to US buyers; Google/Gemini direct checkout is more limitedCheckout customizationsAudit checkout apps, upsells, custom fields, validation rules, local delivery, pickup, subscriptions, bundles, and custom pixels.B2B productsMake sure B2B-only products are not accidentally exposed if using custom B2B logic. Shopify says agentic storefronts support D2C sales only.AI discoverabilityUse Shopify’s Agentic preview/search tool as a directional signal, not a guaranteed ranking result. FAQs 1. What is Shopify MCP? Shopify MCP refers to Shopify's Model Context Protocol servers. It is a layer that lets AI agents like Claude, ChatGPT, and Copilot search a store's product catalog, manage a cart, and complete a checkout using natural language. 2. How to get started with Shopify MCP? Most merchants do not need to build anything. Check Sales channels > Agentic in your Shopify admin to see which AI platforms already have access to your catalog, confirm your store policies are complete, and review your product descriptions so agents have accurate information to work with. 3. What is the difference between Shopify Storefront MCP and the Shopify AI Toolkit? Storefront MCP is the consumer-facing server that lets AI shopping agents browse and buy from your live store. The Shopify AI Toolkit is a separate, developer-facing tool that connects coding assistants to Shopify's documentation and schema so developers can build apps and themes faster. 4. How does Claude Code connect to Shopify MCP? For development work, install the Shopify AI Toolkit plugin inside Claude Code with /plugin marketplace add Shopify/shopify-ai-toolkit followed by /plugin install shopify-plugin@shopify-ai-toolkit. Connecting Claude to your live store data for admin tasks uses a separate Admin API token setup instead. 5. Do AI agents complete checkout without a shopper ever visiting my store? In most current cases, no. Shoppers are handed a link back to your own Shopify checkout to finish payment, so your branding and payment methods stay intact. Only a small number of vetted, high-trust agent partners can complete a purchase directly inside their own interface. 6. Can I stop AI platforms from selling my products? You can turn off Shopify Catalog access per channel from Sales channels > Agentic and disable direct checkout where it is offered. Fully hiding a product from all AI discovery requires Unlisted status or the seo.hidden metafield, both of which also remove it from regular search engines, so it is rarely the right tool for a partial opt-out.