50 Apps That Are Missing in the Shopify App Store in 2025

We research Shopify Apps every day, if you're building in this space, get our market clarity reports

Shopify merchants talk about profit, not vanity metrics.

We pulled together the most common pain points that quietly drain margin and mapped them to concrete product ideas you can build.

Each idea calls out gaps in today’s tools and sketches a safe path to a practical v1.

Skim the lists, pick a problem you can solve better than anyone, and shape a version that helps stores make more on every visit, every order, and every dollar spent.

10 Apps ideas for Shopify users who struggle with profitability

• An app that guards margin at checkout

  Online store owners often accept orders that actually lose money once all the costs add up (discounts, shipping, payment processing fees, taxes). This app would check in real-time if an order is profitable before it goes through, and suggest alternative products that make money instead. Current tools like BeProfit, Lifetimely, and Profit Calc only tell you about profits after the sale is complete, rather than preventing unprofitable orders.

• An app that learns profit-maximizing prices

  Store owners struggle to find the sweet spot for pricing - raise prices too much and customers won't buy, keep them too low and you leave money on the table. This app would safely test different prices for each product, learn what customers will pay, and automatically set the most profitable prices while respecting your minimum profit requirements. While Intelligems and Dexter can test prices, they don't learn how all your products work together as a whole, and Prisync just copies competitor prices rather than finding what works for your store.

• An app that saves refunds via exchanges

  When customers return items, stores usually give cash refunds which means lost profit. This app would turn return requests into exchanges or store credit instead, smartly suggesting replacement items that are in stock and have higher profit margins. While Loop Returns and AfterShip Returns make returns easier to process, they don't prioritize exchanges based on profitability, and BeProfit only analyzes return data after the fact.

• An app that optimizes shipping profit

  Store owners often guess at free shipping thresholds ("Free shipping over $50!") and overpay for shipping labels. This app would test different shipping offers to find what maximizes profit per customer visit and automatically choose the cheapest shipping carrier for each order. ShipScout tests shipping thresholds but doesn't consider all carrier costs, while Easyship and Shippo provide shipping rates but don't experiment to find the most profitable setup.

• An app that liquidates dead stock profitably

  Money gets stuck in products that aren't selling. This app would automatically bundle slow-moving items with popular, profitable products and only show special offers to customers who are about to leave your site without buying, while ensuring these deals still make you money. Bundles.app and Shopify Bundles create product bundles but don't consider profit margins, and Amplify (PickyStory) focuses on presentation rather than clearing old inventory profitably.

• An app that auto-governs ad spend by profit

  Advertising budgets can spiral out of control when ads bring in sales but those sales don't actually make money after costs. This app would connect to your ad accounts and automatically pause or adjust campaigns when they stop being profitable based on your rules. Triple Whale and Northbeam provide analytics about ad performance, and Triple Whale's integrations offer dashboards, but they don't automatically control spending based on profitability.

• An app that steers payment fees smartly

  Different payment methods (credit cards, PayPal, buy-now-pay-later) charge different fees that eat into profits. This app would show or hide expensive payment options based on order size and customer location, promoting cheaper payment methods when it makes sense. PayRules and Payfy can show/hide payment methods based on rules, but they don't consider profit margins. Checkout Blocks guidance shows how to customize payments but not how to optimize for profit.

• An app that reorders with cash-flow limits

  Ordering too much inventory ties up cash that could be used for products that sell better. This app would forecast what you'll sell, create purchase orders that fit your budget, and prioritize products that give the best return on your cash investment while considering minimum order quantities from suppliers. Inventory Planner and Prediko are good at predicting what you'll need but don't optimize based on your cash constraints. Inventory Planner's site focuses on forecasting rather than budget management.

• An app that de-risks profitable pre-orders

  Pre-orders (selling products before you have them) can go wrong when customer deposits don't match what suppliers require. This app would only collect deposits when enough customers commit to meet supplier minimums, calculate all costs including shipping and taxes, and automatically cancel campaigns that won't be profitable. Pre-Order Now, Timesact, and Amai PreOrder Manager enable pre-orders but don't handle the complex math of deposits and supplier requirements.

• An app that upsells by contribution margin

  Many upsells (suggesting additional products) increase order value but actually reduce profit once you factor in all costs. This app would rank product suggestions by actual profit (after shipping and fees) and automatically promote the most profitable add-ons. ReConvert, Honeycomb, and Rebuy optimize for getting more clicks or higher order values, not for actual profit per sale.

For each competitor, our market clarity reports look at how they address — or fail to address — market pain points. If they don't, it highlights a potential opportunity for you.

10 Apps ideas for Shopify users who want to work with AI

• An app that curates profit-smart collections

  Store owners can't manually update all their product collections (groups of products shown together) to balance what's selling, what's in stock, and what makes money. This AI app would automatically build and refresh these collections based on real-time sales and profit data while testing different layouts to see what works best. Tools like Rebuy Personalization, Klevu AI Search & Discovery, and Nosto are great at recommending products but don't automatically manage entire collections with profit in mind.

• An app that composes prices and promos

  Store owners need to increase revenue without hurting profit margins. This AI would safely test different prices, learn how sensitive customers are to price changes for each product, and create the right mix of promotions (like buy-one-get-one deals, bundles, or free shipping thresholds) while maintaining minimum profit levels. Intelligems and Dexter test prices but don't optimize your entire catalog with safety limits, and Prisync just matches competitor prices rather than finding what your customers will pay.

• An app that writes support playbooks safely

  Customer service teams waste time answering the same questions over and over. This AI would learn from your order history and support tickets to write response templates, spot new types of questions, and suggest safe automation while checking against your policies and tracking customer satisfaction. Support tools like Gorgias and chatbots like Tidio add AI responses but don't create and quality-check response templates across all channels, and Shopify Sidekick is too general rather than focused on support scripts.

• An app that audits PDP images intelligently

  Product pages underperform when images are poorly cropped, low resolution, or missing descriptive text for search engines. This AI would check all your product images against best practices, suggest replacements, write search-friendly descriptions that match your brand, and test how different image sets perform in search results. TinyIMG and AltGenius handle image compression and text descriptions, while Schema Plus manages technical data, but none review image quality and test search performance.

• An app that predicts fit and size

  Size-related returns hurt profits and customer trust. This AI assistant would learn from your returns and reviews to recommend the right size or variant to each customer, automatically updating size charts and product descriptions as patterns emerge. Octane AI provides quizzes, Tidio offers an AI chat agent, and Gorgias powers support, but none specialize in learning from returns to provide sizing guidance.

• An app that forecasts and drafts POs

  Small stores struggle with ordering - buy too much and cash is tied up, buy too little and you miss sales. This AI would predict demand, simulate different supplier terms and delivery times, and actually create purchase orders that fit your cash budget, prioritizing products with the best profit return. Inventory Planner and Prediko forecast and suggest reorders but don't write purchase orders with cash constraints in mind. Inventory Planner's site focuses on forecasting rather than budget-aware ordering.

• An app that localizes content by market

  Simply translating your store misses cultural nuances, local sizing standards, and search engine requirements for each country. This AI would adapt your product descriptions, images, and technical data for each market (using Shopify's Markets feature) and track search rankings and sales to continuously improve. Shopify Translate & Adapt and T Lab translate well, while Transcy roundups focus on translation rather than true cultural adaptation.

• An app that enriches catalog and HS codes

  International sales fail when product details are incomplete and customs codes are wrong. This AI would extract material information, care instructions, and hazard details from your images and descriptions, suggest customs codes with confidence levels, and verify destination country rules for accurate international shipping costs. Zonos Duty & Tax and Easyship calculate duties at checkout, and Shopify docs explain taxes, but none automatically classify your products for customs.

• An app that saves returns as exchanges

  Stores lose money giving refunds by default. This AI would read each return request and suggest the most profitable alternative (product swaps, accessory bundles, or partial refunds to keep the item) with clear reasoning that improves over time. Loop Returns and AfterShip Returns handle return logistics, and BeProfit analyzes outcomes, but none optimize which offer to make for maximum profit.

• An app that creates on-brand PDPs and emails

  Teams need high-quality product descriptions and marketing emails quickly, with measurable improvements. This AI studio would generate product page content, FAQs, and email campaigns from your product and review data, run safe tests to see what works, while maintaining your brand voice and creating versions for different countries. Shopify Magic and tinyAlbert generate content, and Sidekick helps broadly, but none combine content creation across multiple channels with built-in testing.

Our market clarity reports include a deep dive into your audience segments, exploring buying frequency, habits, options, and who feels the strongest pain points — so your marketing and product strategy can hit the mark.

10 Apps ideas for Shopify users who struggle with SEO

• An app that optimizes internal linking & anchors

  As online stores grow, it becomes impossible to manually create smart links between related products and pages, or test different link text to see what works best for search engines. This app would map all your internal links, suggest safe batches of new links to add, and measure the impact on your Google search rankings. Tools like Smart SEO, Booster SEO & Image Optimizer, and Yoast SEO help with page titles and descriptions but don't manage the strategic linking between your pages.

• An app that governs facet and filter SEO

  When customers filter products (by size, color, price), it creates many similar pages that confuse search engines. Store owners need rules for which filtered pages to show in search results, which to hide, and how to write unique descriptions for each. Solutions like SearchPie, SEO Manager, and Yoast SEO help with basic SEO but don't provide detailed control over filtered page visibility.

• An app that salvages OOS and sunset URLs

  When products go out of stock or are discontinued, you lose search rankings and incoming links unless handled properly. This app would decide whether to keep the page, redirect visitors, or remove it entirely, while adding links to similar in-stock products. Current options like Booster SEO, Smart SEO, and SearchPie handle redirects and fixes but don't have specific strategies for out-of-stock situations.

• An app for inventory-aware programmatic collections

  Stores miss search traffic because their static collections don't adapt to what's actually in stock or trending. This app would automatically create and update collection pages with unique introductions and FAQs, hiding them from search engines when inventory runs low. Tools like SEO Manager, Yoast SEO, and SearchPie handle page descriptions and audits but don't create dynamic collections based on inventory.

• An app that experiments organic CTR safely

  Store owners need to test different page titles, descriptions, and FAQ sections to see what makes people click in Google search results, without risking penalties. This app would create variations, run proper tests, and automatically use winning versions. Apps like Smart SEO, Booster SEO, and SEO Manager can edit these elements but don't run controlled tests with statistical significance.

• An app that fixes Markets hreflang & canonicals

  Stores selling to multiple countries often have technical errors that tell Google the wrong language versions exist, creating duplicate content issues that hurt rankings. This app would simulate how search engines see each country version, check sitemaps, and provide exact fixes. Options like Yoast SEO, Smart SEO, and SearchPie help with basic SEO but don't deeply analyze multi-country technical issues.

• An app that orchestrates schema conflicts across apps

  Different apps (themes, review apps, page builders) often add conflicting technical data that causes errors in search results. This app would designate one source of truth for this data and fix conflicts automatically. Tools like Schema Plus, JSON-LD for SEO, and SearchPie add good technical data but don't coordinate when multiple apps conflict.

• An app for image SEO pipeline & visual sitemaps

  Image search is underused because stores don't optimize filenames, descriptions, compression, focal points, and discoverability as a complete system. This app would automate all these steps and create an image sitemap while testing what works. TinyIMG, Booster SEO, and Smart SEO handle parts of this but don't combine technical optimization with image search testing and sitemaps.

• An app that plans pillar and cluster content

  Blog posts rarely connect to product pages in ways that build search authority. This app would identify topics based on your products, create content briefs, and automatically link blog posts to relevant products and collections. Tools like Yoast SEO, SEO Manager, and SearchPie optimize individual pages but don't plan and connect comprehensive content strategies.

• An app for crawl health & render diagnostics

  Theme changes can secretly break how search engines read your site (JavaScript issues, loading problems, pagination errors). This app would regularly check how search engines see your pages, identify crawling problems, and connect issues with Google's data. General tools like Booster SEO, Smart SEO, and Schema Plus offer audits but not Shopify-specific technical diagnostics with actionable fixes.

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10 Apps ideas for Shopify users who struggle with fraud and spam detection

• An app that firewalls bots & card testing

  Online stores get attacked by automated programs trying stolen passwords or testing stolen credit card numbers, which costs money in transaction fees and can get your payment processing shut down. This app would identify suspicious visitors by their device fingerprints and browsing patterns, then slow them down or add extra verification steps in real-time. Tools like Signifyd, NoFraud, and Shop Protector focus on checking orders after submission or blocking simple form spam, not stopping sophisticated attacks before they start.

• An app that stops multi-account discount abuse

  Scammers create multiple email addresses to repeatedly claim "first-time customer" discounts or referral bonuses. This app would track devices and behavior patterns to link these fake accounts together and add verification requirements only when someone is gaming the system. Resources like Shopify Fraud Filter/community guidance, Signifyd, and NoFraud help with blacklists or order risk, but don't reliably connect multiple accounts to stop promotion abuse.

• An app that guards gift cards & store credit

  Gift cards are a major target for fraud (criminals using them to launder money, reselling them, or using stolen cards to buy them). This app would detect suspicious gift card purchases, delay fulfillment for risky ones, and track the entire lifecycle while sharing data with payment processors and shipping partners. Platforms like Rise/loyalty & gift-card tools context, ClearSale, and NoFraud handle loyalty programs or chargeback protection, but aren't built specifically for gift card fraud patterns.

• An app that scores risky addresses & drop sites

  Fraudsters ship to package forwarding services, storage lockers, and known criminal addresses. This app would rate delivery addresses for risk and apply appropriate safeguards (require signature, change carrier, or manual review) rather than just checking for typos. Address validators like Clearer.io Address Validator, Address-Validation.io, and lists such as Shopify Theme Detector's roundup improve accuracy but don't connect addresses with fraud patterns to trigger protective measures.

• An app that blocks account takeovers with step-up

  Hackers steal customer accounts by using passwords from other breached sites or noticing unusual login patterns (new device, different location). This app would continuously monitor account activity and require email or phone verification when something looks suspicious, before any purchase happens. Order-checking tools like Signifyd and NoFraud plus spam blockers like reCAPTCHA Spambuster don't provide account-level protection that stops takeovers in progress.

• An app that moderates UGC spam with provenance

  Reviews, Q&As, and comments get flooded with AI-generated text, hidden links, and fake posts from review farms. This app would verify if reviewers actually bought the product, detect bot patterns, and quarantine suspicious content with evidence. Utilities like reCAPTCHA Spambuster, Shop Protector, and payment-focused tools such as ClearSale aren't designed for detailed, purchase-verified content moderation.

• An app that audits affiliate & influencer fraud

  Affiliate partners game the system through fake clicks, cookie manipulation, stealing credit for sales they didn't generate, and sending bot traffic. This app would score partner quality, take back commissions on refunds, and detect when private coupon codes leak publicly. Order-risk apps Signifyd and NoFraud don't monitor affiliate integrity, and most "best fraud apps" lists like Logbase focus on checkout security, not partner abuse.

• An app that builds chargeback evidence automatically

  When customers dispute charges with their bank, stores need to provide evidence packages (device info, IP addresses, order timeline, shipping tracking, chat logs, policy screenshots) formatted for each bank's requirements. This app would automatically collect all this evidence and create winning dispute responses. Shopify Protect only covers Shop Pay orders, while Signifyd and NoFraud focus on preventing fraud rather than building dispute evidence packages.

• An app that guards app installs & APIs

  App developers face waves of fake stores installing their apps to abuse email sending or API access. This app would screen new installations, limit API usage, and automatically lock out suspicious patterns. A Shopify Community thread shows how painful this is, while reCAPTCHA Spambuster and ShopProtect protect store forms, not developer APIs or app-to-app abuse.

• An app that queues high-heat drops fairly

  Limited product launches attract bots and resellers using multiple connections to crowd out real customers. This app would create a waiting room that scores each person in line (detecting automated browsers, multiple connections, device reputation) and adds verification only for suspicious users while letting legitimate customers through. Tools like Shop Protector, FraudBlock, and ClearSale either block simple spam or check orders afterward, but don't combine queuing with real-time fraud scoring for product launches.

Our market clarity reports all contain between 100 and 300 insights about your market.

10 Apps ideas for Shopify users who want to increase their conversion rate

• An app that orchestrates reliable delivery promises

  Online shoppers abandon carts when they're unsure when their order will arrive, especially if different pages show different delivery times. This app would combine real inventory levels, shipping cutoff times, carrier delivery speeds, and location data to show one consistent "Arrives by [date]" message everywhere, reducing customer anxiety and cart abandonment. Tools like AfterShip Estimated Delivery Date, SB Estimated Delivery Date, and Zapiet Pickup + Delivery provide helpful estimates or scheduling, but don't ensure the same promise appears consistently across all shopping steps.

• An app that A/B-tests checkout trust signals

  Different customers respond to different trust indicators (security badges, guarantees, help links, return policies) based on their location and device. This app would automatically test where to place these elements and what wording to use, keeping only what actually increases sales. Badge tools like ShopClimb Trust Badges and Conversion Bear Trust Badges, plus urgency tools like Urgency Bear, add visual elements but don't run controlled tests to see what actually improves conversion.

• An app that rescues zero-result searches

  When customers search your site and find nothing, they often leave. This app would suggest the closest matching products in stock, offer synonyms, provide quick answers, and log new search terms to add to product tags so dead-ends become opportunities. Search platforms like Searchanise and Klevu index products well, and Searchanise's merchandising page highlights tools, but none specifically turn zero-result searches into helpful experiences.

• An app that builds quiz-to-cart bundles

  Store owners need guided shopping experiences that respect what's actually in stock, assemble the right sizes and colors, add logical bundle add-ons, and save everything to a ready-to-buy cart (with an email link if the customer leaves). Octane AI and its site excel at quizzes but don't build live carts with inventory awareness, and Shogun A/B focuses on testing rather than quiz-to-cart creation.

• An app that answers PDP objections from reviews

  Shoppers hesitate when they can't quickly find answers to their concerns. This app would analyze reviews and Q&As to create concise pros/cons summaries that address common doubts (about fit, durability, use cases) right below the Add to Cart button. Review apps like Judge.me, Loox, and Yotpo display customer content well but don't provide AI-powered objection-handling summaries where needed.

• An app that co-browses carts and sends pay links

  Customer service agents should be able to see what's in a customer's cart (without personal information), add recommended products to it, and send a secure payment link directly from the chat to capture the sale immediately. Support tools like Gorgias and Tidio handle chat and automation, and ReConvert works after purchase, but none help agents build carts with instant payment links during conversations.

• An app that shortens forms with smart autocomplete

  Mobile users abandon purchases when forms ask for information the store should already know. This app would detect known customer information, hide unnecessary fields, use accurate address autocomplete, then test whether these changes actually improve completion rates. Shopify's dev guide and apps like Autoaddress plus Google Autocomplete guidance provide basic features but don't continuously test which fields to remove.

• An app that sequences PDP media for conversion

  The first image or video customers see shapes their entire impression of a product. This app would test different orders for hero images, zoom settings, and when to show size charts or demonstration GIFs to increase add-to-cart rates. Intelligems and Shogun A/B Testing can test content broadly, while TinyIMG optimizes files, but none specialize in testing media presentation order on product pages.

• An app that rescues hesitant sessions with nudges

  When shoppers repeatedly scroll the same content, struggle with form fields, or pause at shipping costs, they're about to abandon. This app would detect these behaviors and trigger timely help (sizing guides, delivery promises, small discounts) and follow up with exactly where they got stuck. Analytics tools like Lucky Orange and Hotjar, plus Lucky Orange's integration page, reveal problems but don't intervene in real-time to save sales.

• An app that optimizes payment methods by cohort

  Different customer groups prefer different payment options - younger shoppers might prefer buy-now-pay-later while international customers prefer specific local methods. This app would learn which payment methods convert best for each customer type (by country, device, order size) and reorder, hide poor performers, or update messaging ("Fastest checkout with Shop Pay") to increase completed purchases. Shopify's Functions docs, Checkout Blocks help, and Checkout UI Extensions show how to customize, but don't provide an intelligent optimization system.

Each of our market clarity reports includes a study of both positive and negative competitor reviews, helping uncover opportunities and gaps.