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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13 Min • 18 June 2026

Shopify Spring ’26 Edition: Which Updates Merchants Need to Act On?

Shopify dropped its Spring '26 Edition on June 17, 2026, and branded it "Everywhere" for good reason. Your products can now show up inside ChatGPT, Microsoft Copilot, Google AI Mode, and the Shop app, all without you touching a setting. Over 150 updates shipped in a single release, but only a handful are worth acting on immediately. And one of them is a hard deadline you cannot miss if you want your checkout to keep working after June 30. Here is the practical breakdown. What Is the Shopify Spring '26 Edition? Shopify releases two major product showcases each year under the "Editions" label. Spring '26 is the ninth Edition overall, and it launched on June 17, 2026. The theme is simple: if you are on Shopify, your products get there first, wherever commerce goes next. The 150+ updates span agentic commerce, Sidekick, marketing automation, checkout, payments, point of sale, analytics, B2B, and developer tooling. Some updates are enabled automatically. Others require action on your end. A few are gated behind Advanced or Plus plans. For context on where things stood before this release, see my breakdown of the Shopify Winter '26 Edition released just before this. Shopify Catalog & UCP: Your Products Are Discoverable by AI Image Source: Shopify Two pieces of infrastructure power the "Everywhere" theme: Shopify Catalog and the Universal Commerce Protocol (UCP). Shopify Catalog is a global, structured product database spanning billions of products across millions of merchants. UCP, co-developed with Google, is the open standard that gives AI agents one shared language to communicate with merchants, covering everything from product discovery to checkout, including discounts, subscription terms, and special conditions. Both are live for eligible Shopify merchants by default. Here is the part most guides will skim past: enabled and optimized are not the same thing. Your products are in Catalog by default, but whether an AI agent surfaces them over a competitor's depends entirely on your data quality. Shopify states that AI searches powered by clean Catalog data convert at roughly 2x the rate of searches using scraped data. New in this Edition: The Catalog API now supports Sign in with Shop, so signed-in shoppers see personalized results. Developers have also gained access to bulk lookup and image search endpoints. The Knowledge Base feature is the most underreported update in Spring '26 for me. It lives in the Agentic Storefronts section of your Admin. Shopify now shows you the questions AI agents are actively asking about your brand, things like retail locations, bulk ordering terms, and customer service policies, and lets you fill in the answers directly. I recommend that merchants spend a few minutes here to improve how AI assistants describe your business to potential buyers. Understanding the broader role AI in ecommerce plays in 2026 gives useful context for why getting this right matters beyond just Shopify's own channels. Sidekick Gets Smarter Across Every Device Image Source: Shopify Sidekick has expanded significantly in Spring '26. Three updates are worth knowing about in practical terms. Sidekick App Extensions connect third-party tools directly to Sidekick. Over 15 partner apps are supported at launch, including Klaviyo, Loop, Judge.me, and Smile. Instead of switching between your Shopify Admin and a separate Klaviyo dashboard to check campaign performance, you ask Sidekick and get the answer in one place. Sidekick Pulse powers the redesigned Admin home. It analyzes your store's sales, traffic, and inventory data in the background and surfaces your next best actions proactively. Sidekick on more devices is now live across every screen in the Shopify app. Merchants can use typing or voice to make changes to their online store from a phone. Sidekick now runs on Apple Watch as well, so quick business lookups work without opening a screen. For a closer look at getting real value from the tool, my guide on how to use Shopify Sidekick covers every use case. Campaign Autopilot Image Source: Shopify Campaign Autopilot is Shopify's structural answer to that problem. It runs paid and organic campaigns across Facebook, Instagram, Shop, and email using your store's commerce data to optimize results within the guardrails you set. ▶ Shop Campaigns has also expanded. It now reaches ChatGPT, Pinterest, and the open web through Microsoft Monetize. You can set custom bids for specific customer segments, like new versus lapsed buyers, and all billing lands on your Shopify invoice. More channels are coming soon, including Microsoft Advertising, ChatGPT Ads, and Snapchat. A new AI sales associate lives inside Shopify Inbox. It answers buyer questions, suggests products, and handles order inquiries using your catalog, inventory, and store policies. Shoppers who sign in with Shop get personalized recommendations in the chat window. ▶ WhatsApp is now a native marketing channel inside Shopify Messaging. Consent management sits alongside email and SMS, making it easier to keep your messaging preferences organized in one place. If you are already running paid campaigns for your Shopify store, Campaign Autopilot fits naturally into a broader multi-channel strategy. Shop Pay Goes Beyond Shopify Stores Image Source: Shopify Shop Pay expanding outside of Shopify is another big structural shift in Spring '26 for me. Any brand on any platform can now offer Shop Pay at checkout, gaining access to a Shopify-stated network of 250M+ shoppers and one-click purchasing. Shopify is positioning its wallet, sign-in, and payments infrastructure as the checkout layer for commerce across the internet. ▶ Sign in with Shop reinforces that direction. A buyer's profile, purchase history, and saved details follow them across surfaces, and builders can integrate the same trusted sign-in into any experience they create. For merchants operating beyond their Shopify storefront, like selling through a separate website or marketplace, activating Shop Pay there is now an option worth exploring. On the Shopify side, managed payment methods is a latest update in this edition. Shopify Payments now dynamically reorders payment options at checkout to surface whatever method is most likely to convert for that specific buyer, rather than showing a fixed list. My guide on Shopify Shop Pay covers how enabling it affects checkout conversion for merchants who haven't set it up yet. The Checkout Redesign Is Live on Every Plan Right Now The Spring '26 checkout redesign is mobile-first and available across all plans immediately. This is where things got interesting while I read the latest edition, specifically the three new Shopify updates. Ship and pick up in one checkout solves a problem omnichannel merchants have lived with for years. Before Spring '26, a customer who wanted to ship one item and collect another in-store had to place two separate orders. That is gone now. For any merchant with a physical location and an online store, enabling this should be a priority. Unified branding means you set your logo, colors, and typography once, and it applies consistently across checkout, customer account pages, and sign-in screens. The "set once, applies everywhere" model is a trust-and-cohesion win merchants can ship without developer support. 365-day customer account sessions reduce the friction of being signed out between visits, making it easier for returning customers to pick up where they left off. My guide to Shopify checkout optimization covers the additional steps worth layering on top of the redesign to push conversion further. POS v11: Shopify's Fastest In-Store Update Yet POS v11 is Shopify's fastest-ever point of sale. Shopify states that staff save over a minute on complex cart transactions. On a busy trading day with a line at the register, that time difference is meaningful. The cart now stays visible throughout the entire transaction. Discounts, edits, and customer lookups open in a side panel so staff never lose their place. Multi-select on line items allows bulk edits without repeated taps. Customer search is faster across the board. Returns, exchanges, and new sales can all be processed within a single cart using modular workflows. That removes a genuine source of friction for retail staff managing mixed transactions. ▶ New hardware: The Verifone Victa Mobile scans barcodes, takes card payments, and doubles as a countertop terminal when docked to a tablet. It is currently in Early Access for pre-order in the US and Canada. Analytics That Tell You What to Act On Most merchants are not short on data. The harder problem is knowing which numbers deserve a response. Spring '26 addresses that gap directly inside Shopify Analytics. ▶ Daily insights flag the trends worth your attention each day. Metric annotations explain why a specific number moved, removing much of the guesswork about sudden changes. You can set metric targets and track progress against them inside the platform. New visualization types have been added too: scatter plots, radar charts, bubble charts, and sunbursts. Paired with Sidekick Pulse, your Admin home now opens with recommendations drawn from your actual store data. Shopify Flow can now query sales, traffic, and inventory using ShopifyQL and trigger follow-up actions based on those results. For merchants comfortable with Flow, the automation possibilities have expanded. My Shopify analytics guide covers the core metrics worth tracking and how to use that data to make decisions that actually move revenue. Rollouts: Native A/B Testing Is Now Built Into Shopify Storefront testing has required third-party apps for years. Rollouts change that. It gives merchants native A/B testing for themes, checkout configurations, and customer account setups, all managed inside the Admin. You can also schedule a publish for a specific time without staying up late to flip the switch manually. For any merchant paying for a standalone A/B testing app, Rollouts is a direct cost replacement. More importantly, your test data sits inside Shopify's ecosystem alongside conversion and revenue reporting. A tool is not a strategy, though. Someone still needs to decide what is worth testing and interpret the results clearly. The Agentic Plan: A New Option for Businesses Not on Shopify Spring '26 introduces a standalone Agentic plan for businesses that are not on Shopify's main platform. These merchants can now sync their product catalog to Shopify Catalog and sell through AI channels and the Shop app without migrating their existing setup. For current Shopify merchants, the relevant implication is that the Catalog ecosystem is growing. More sellers joining means more data for AI agents to work with, and more reasons for those agents to prioritize Catalog-powered results. 1 Deadline You Cannot Miss: Shopify Scripts Ends June 30, 2026 Shopify Scripts stops running on June 30, 2026. Any checkout customizations still built on Scripts will break after that date. The replacement is Shopify Functions, and the migration needs to happen before the deadline. If your store uses Scripts to apply discounts, control shipping options, or run any checkout logic, those customizations will silently stop working the moment Scripts is shut off. Auditing what your store runs on Scripts and getting the migration scheduled now is the only responsible move. Checkout logic that fails mid-promotion is the worst time to find out about a deadline you missed. What You Should Actually Do First? Spring '26 ships 150+ updates. Prioritizing realistically matters more than trying to act on everything at once. Here is where most merchants should start. Clean up your product data. Shopify Catalog feeds every AI channel, and incomplete listings will not surface well against competitors with clean data. Start with titles, descriptions, dimensions, and variant attributes. This is the highest-leverage action in this entire edition. Fill in your Knowledge Base. Find the Agentic Storefronts section in your Admin, check the Knowledge Base, and answer the questions AI agents are already asking about your brand. It takes minutes and directly improves how AI assistants describe your business. Handle the Shopify Scripts migration immediately. If Scripts is running in your store, migrate to Shopify Functions before June 30, 2026. Enable unified branding and ship-and-pickup. Both are live on all plans and require no developer support. Start Campaign Autopilot on one channel. Set conservative guardrails, measure results, then expand. Connect Sidekick to your third-party apps. If you use Klaviyo, Loop, or any of the 15+ launch partners, connect them through Sidekick App Extensions. Reviewing your Shopify pricing plan is also worth doing now. Some Spring '26 features are restricted to certain plans and an upgrade might unlock more value than an additional app would. FAQs 1. What is the Shopify Spring '26 Edition? Shopify Spring '26 Edition is Shopify's twice-yearly product showcase, launched on June 17, 2026, with over 150 updates. Themed "Everywhere," it focuses on agentic commerce, Shopify Catalog, the Universal Commerce Protocol, AI-powered marketing through Campaign Autopilot, a redesigned checkout, POS v11, expanded payments, B2B expansion, and new analytics tools. 2. What is Shopify Catalog and do I need to set it up? Shopify Catalog is a global structured product database that AI agents search to find and recommend products. Eligible Shopify merchants are included by default, so no manual setup is required. 3. What is the Universal Commerce Protocol (UCP)? UCP is an open standard Shopify co-developed with Google. It gives AI agents a shared language to communicate with merchants, covering product discovery, cart building, and checkout in a standardized way. Shopify merchants are UCP-enabled by default, meaning any surface built on UCP can incorporate your checkout rules and discounts automatically. 4. What is the Shopify Scripts deadline, and what happens if I miss it? Shopify Scripts stops running on June 30, 2026. Any checkout customizations still using Scripts will stop working after that date. Merchants need to migrate those customizations to Shopify Functions before the deadline. Check your Admin now to confirm whether your store uses Scripts. 5. Is Campaign Autopilot available on all Shopify plans? Campaign Autopilot is currently in early access. Check your Admin for current availability on your plan. Shop Campaigns, which now includes ChatGPT, Pinterest, and Microsoft Monetize as surfaces, has broader general availability. 6. Can any brand now use Shop Pay, even without a Shopify store? Yes. Brands on any ecommerce platform can offer Shop Pay at checkout through Shopify's simplified onboarding. Access to a Shopify-stated network of 250M+ shoppers and one-click purchasing comes with it. 7. What is the Agentic plan announced in Spring '26? The Agentic plan is a new standalone option for businesses not on Shopify's platform. It lets them sync their product catalog to Shopify Catalog and sell through AI channels and the Shop app without migrating their existing store setup. 8. What changed in Shopify POS with Spring '26? POS v11 is Shopify's fastest-ever point of sale. It saves staff over a minute on complex cart transactions, keeps the cart visible throughout the transaction, supports returns and exchanges in one cart, and introduces the Verifone Victa Mobile as new hardware in Early Access for the US and Canada. 9. How does the ship-and-pickup in one checkout work? Previously, customers who wanted to ship some items and pick up others had to place two separate orders. Spring '26 fixes this. One cart now supports mixed fulfillment within a single checkout session. The feature is available on all plans.

12 Min • 23 June 2026

Shopify Inventory Report: Types, How to Pull Them, & What They Actually Tell You (2026)

Your Shopify inventory report is one of the most underused tools in your admin. Most store owners check stock levels manually and have no real visibility into which products are helping them get conversions. The reports sitting inside your analytics section can fix that, but only if you know which one to open and what to do with the numbers. Shopify has multiple built-in inventory reports, each answering a different question about your stock. Some show you the end-of-month snapshots while others give you a permanent audit trail of every adjustment ever made to your inventory. The 2026 Winter and Spring editions added real-time intelligence on top of all of this through Sidekick. Here is a full breakdown of every report type, how to access them, what each column actually means, and how to turn the data into action. What is a Shopify inventory report? A Shopify inventory report is a structured data view inside your analytics section that tracks the quantity, value, velocity, and history of your stock. These reports are generated from your store's live inventory data at the variant level, so every size, color, and option gets tracked independently. Here’s how an inventory looks inside the Shopify admin Shopify’s inventory reports show you how fast a product sells per day or what percentage of your stock you have moved. We will discuss the types of inventory in the coming section. For a full picture of how inventory fits inside your broader store operations, my Shopify store management guide covers the daily tasks that works with inventory tracking. How to pull an inventory report from Shopify? Both mobile and desktop have the same workflow to pull inventory reports Log in to your Shopify admin. Go to Analytics in the left navigation. Click Reports. Click the Category filter at the top of the report list. Select Inventory. The list now shows only inventory-related reports. Click any one to open it. The different inventory reports available in Shopify: Explained 1. Month-end inventory snapshot The month-end inventory snapshot shows the ending available quantity of every product variant at the close of each month. Available quantity means your on-hand stock minus committed units (orders placed but not yet shipped) Key columns: Product title, Variant title, Variant SKU, Ending quantity. When to use it: Use this report at the end of every month to confirm stock levels and catch variants that sold more units than you physically had in stock. If you see negative ending quantities, a product was oversold, or inventory tracking was disabled on that variant. 2. Month-end inventory value The month-end inventory value report functions like the report above, but it layers in the cost per item assigned to each variant at the time of sale. The result is the total dollar value of your available inventory at the end of the month. Key columns: Product title, Variant title, SKU, Cost, Ending quantity, Total inventory value. When to use it: Use it to understand how much capital you have in your warehouse. For Shopify inventory management, this report is the foundation of any cost-of-goods-sold analysis. 3. Inventory sold daily by product Shopify's daily inventory sold report calculates the average number of units sold per day for each variant over your selected period. The formula is simple: total units sold divided by the number of days in the range. Key columns: Product title, Variant title, SKU, Quantity sold, Ending quantity, Quantity sold per day. When to use it: Set this report to the last 30 days and sort by Quantity sold per day. The top rows are your bestsellers. For example, if a variant has 50 units remaining and a sell rate of 10 per day, you have five days of stock left. 4. Products by percentage sold The percentage sold report shows what share of each variant's opening stock you moved during the selected period. It divides total units sold by the starting quantity. Key columns: Product title, Variant title, SKU, Quantity sold, Starting quantity, Percent sold. A percent sold value above 100% means the variant was oversold. A value below 0% means the starting quantity was already negative when the period began. N/A displays when the starting quantity is zero. When to use it: Use this for seasonal planning. A summer product at 95% sold through by mid-July tells you to reorder urgently. 5. ABC product analysis The ABC analysis report assigns each variant a grade based on its contribution to revenue over the last 28 days. Shopify updates it daily. A-grade: The variants that collectively account for 80% of your revenue. B-grade: The next 15% of revenue. C-grade: The bottom 5%. Key columns: Product title, Variant title, SKU, Product grade, Ending quantity, Total value (cost), Total value (price). When to use it: Focus your restocking budget on A-grade variants first. This is what I always do. If an A-grade product that goes out of stock will negatively affect your sales. For a deeper look at how ABC analysis fits into a broader product strategy, check our Shopify analytics guide for merchants. 6. Products by sell-through rate The sell-through rate report measures the percentage of total inventory you have sold during the selected period. The formula is: Units sold / (Units sold + Units still in inventory) Shopify displays results with a two-day lag (three days for UTC+14:00 time zones) to account for data processing. Key columns: Product title, Variant title, SKU, Sell-through rate. When to use it: A high sell-through rate confirms strong demand. A low rate signals potential unsold merchandize. Use this report monthly to identify which variants are not moving and decide whether to run a promotion or discontinue the SKU entirely. 7. Inventory remaining per product This is the report I use the most. Shopify's inventory remaining report gives you an estimated number of days before each variant runs out based on current sales. It combines current stock levels with the average daily sell rate to produce a days-remaining figure. When to use it: I view this report weekly. Any variant with fewer than 14 days of stock remaining should trigger a purchase order, assuming a minimum 7-day supplier lead time. For products with longer lead times, adjust your reorder threshold accordingly. My guide to Shopify local pickup multi-location management covers how to handle stock distribution across stores. 8. Inventory adjustment changes For me, this report is the most powerful and least-read report in Shopify. It logs every single manual inventory adjustment made to your store: who made it, when, on which variant, at which location, what the adjustment reason was, and the before and after quantities. Key columns: Date, Location, Staff/app that made the change, SKU, Variant, Adjustment reason, Quantity change. When to use it: I pull this report when inventory numbers do not match expectations. A sudden drop in stock for a variant you have not fulfilled could mean a team member corrected a count error, or a receiving entry was incorrectly processed. 9. Inventory adjustments by count Where the adjustment changes report logs every individual change, the adjustments by count report rolls them up. It shows the total number of adjustments per SKU and location over a selected period. When to use it: A variant with dozens of small adjustments in a short window points to a process problem in your warehouse. A variant with one large adjustment deserves a conversation with whoever made it. Shopify inventory history report: How to track adjustment changes over time I use two reports for this purpose. Inventory Adjustment Changes (detailed, per-entry log) and Inventory Adjustments by Count (rolled-up totals). Together, they can form your inventory history analytics. An important limitation to know: historical data for inventory-based metrics only goes back to October 1, 2023, in Shopify's system. Data before that date is not available for inventory metrics. For deleted products, the rule changed in January 2026. Products deleted on or before January 14, 2026, still display their inventory data up to that date. Products deleted after January 14, 2026, no longer display inventory data past their deletion date. If you need to create custom inventory reports that go beyond these defaults, Shopify supports custom data explorations using ShopifyQL. On Advanced and Plus plans, you can build tailored views that filter by location, adjustment reason, date range, or specific SKUs. I actually use Sidekick AI assistant to write ShopifyQL queries in plain English without touching the query syntax myself. Merchants will definitely prefer this method. What plan do you need for Shopify inventory reports? All paid Shopify plans include the core inventory reports. Here is how access breaks down: Starter: Analytics are limited. Inventory reports are not accessible on the Starter plan. Basic ($39/month): Full access to all nine native inventory reports plus date filtering and CSV exports. Grow ($105/month): All Basic features plus more detailed financial reports and additional data exploration options. Advanced ($399/month) and Plus: Full Shopify/SQL access, custom data explorations, and the ability to build and save custom inventory report views. If you are on Basic or Grow and need custom reporting, apps like Report Pundit, Better Reports, and Glew can help you with custom reports. What changed in 2026: Upgrades in Shopify inventory reports Permanent adjustment history: The prior 180-day cap on inventory adjustment data is gone. All adjustment history is now stored indefinitely, which helps with annual audits. Real-time sell-through and days-of-stock calculations: Shopify's analytics now updates the sell-through rate and days of stock remaining on a near-real-time basis. This is a significant improvement over the older reporting cycle, where data could lag by days. Sidekick for inventory intelligence. Sidekick monitors your inventory data proactively. Instead of waiting for you to open a report and look for a problem, it surfaces inventory alerts and restock recommendations directly in your admin panel. You can also ask Sidekick directly: "Which products need reordering?" and get a prioritized list. ShopifyQL for inventory queries: Sidekick can now write ShopifyQL queries for inventory data, including pulling sales, sessions, and inventory data into workflows. 2,048 product variants. Shopify increased the maximum variants per product from 100 to 2,048. If you run a catalogue with complex size/color/material combinations, your inventory reports now cover the full range of variants. Flexible inventory transfers. You can now edit shipment details during transit and receive inventory from unspecified origin locations. Inventory adjustments also give a complete audit history, tracking who changed what, when, and by how much. When Shopify's native inventory reports are not enough For most stores under 500 SKUs, Shopify's built-in inventory reports cover the essentials. The problems appear for stores with 500+ products. Shopify's native reports do not include: Demand forecasting based on seasonal trends, external signals, or promotional lift. Multi-channel inventory sync reporting across Amazon, wholesale, and other platforms. Inventory value by supplier or vendor is segmented for purchasing analysis. Open purchase order tracking versus what has been received. Reorder point automation based on lead time and safety stock calculations. If you are managing 100+ SKUs or selling across multiple channels, a dedicated inventory planning tool will help. Shopify apps like Sumtracker and Prediko integrate directly with your inventory data and layer on the forecasting and multi-source visibility that native reports do not provide. For B2B and wholesale operations, inventory reporting is more important: visibility into PO status, and bulk order impact on available-to-sell stock all require tools that are not available in native Shopify reports. My Shopify B2B guide covers how to manage stock in a wholesale context in 2026. How I perform a weekly inventory review Every Monday: Open the Inventory Remaining per Product report. Flag everything under 14 days of stock. Open the Inventory Adjustment Changes report. Review the last seven days for any unusual adjustments. End of each month: Pull the Month-End Inventory Snapshot and Month-End Inventory Value reports. Save the CSV. Review the ABC Product Analysis for any grade shifts. An A-grade product that dropped to a B is worth investigating. Check the Products by Sell-Through Rate against your seasonal expectations. Automating these reviews with Shopify Flow makes the process even faster. My breakdown of Shopify Flow examples includes workflows for inventory reporting. FAQs regarding Shopify inventory reports 1. What is a Shopify inventory report? A Shopify inventory report is a built-in analytics view inside your Shopify admin that tracks stock quantities, sales velocity, percentage sold, product value, and adjustment history at the variant level. You access them through Analytics > Reports > Category: Inventory. 2. Does Shopify have an inventory report? Yes. Shopify has built-in inventory reports that help merchants track stock levels, inventory value, sell-through rate, days of stock remaining, and inventory adjustments. These reports are enough for most small to mid-sized stores that need basic inventory visibility without adding another app. 3. How to print an inventory report in Shopify? To print an inventory report in Shopify, go to Analytics > Reports, open the inventory report you want, click the three-dot menu, and choose Print. You can either print it directly or save it as a PDF, depending on your device settings. 4. How do I pull an inventory report from Shopify? Go to your Shopify admin, click Analytics, then Reports, then use the Category filter to select Inventory. Choose the specific report you need, set your date range, and optionally export it as a CSV using the Export button in the top right corner. 5. What are the different types of Shopify inventory reports? Shopify includes nine native inventory reports: Month-End Inventory Snapshot, Month-End Inventory Value, Inventory Sold Daily by Product, Products by Percentage Sold, ABC Product Analysis, Products by Sell-Through Rate, Inventory Remaining per Product, Inventory Adjustment Changes, and Inventory Adjustments by Count. 6. What is the Shopify inventory history report? Shopify does not have a single report named "inventory history." The history functionality lives in the Inventory Adjustment Changes report, which logs every manual and automated stock change with a full audit trail. As of the Winter 2026 edition, this history is stored permanently with no cap. 7. What is the best inventory app for Shopify? For small and mid-sized stores, Shopify’s native inventory tools are enough. For stores with 500+ SKUs, apps like Stock Sync, EasyScan, Syncio, Cin7, or SKULabs are worth considering.

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.