E-commerce
August 26, 2026
Increasing the average order value without hiring a conversion agency is the challenge faced by many DTC brands on Shopify. You know that offering the right product at the right time can turn a €50 purchase into an €80 order, but configuring smart recommendations often requires developer time and a dedicated budget. AI Product Recommendations+ by Softify automates your upsell and cross-sell suggestions using machine learning, while still allowing you to take control to pin your seasonal bundles or best-sellers. The app installs in one click into your Shopify theme, works on your online store and your Shopify POS devices, and displays the average order value increase directly in your admin. Ideal for small and medium brands that want results this week, without technical sprints or expensive customization setups.
Summary
Why add AI recommendations to your Shopify store
Your customers arrive on the product page with a purchase intent, but often leave with only a single item in their cart. Automatic recommendations remind them of complementary accessories, popular variants, or bundles at the exact moment their attention is at its peak. AI Product Recommendations+ combines a learning engine that analyzes order history and browsing behavior with manual rules to pin certain SKUs when the algorithm gets it wrong.
The result: you systematically display the right products on the cart page and the product detail page, without modifying a single line of Liquid code. For a clothing brand with 3 million euros in GMV and a two-person marketing team, installing the app on a Monday and seeing an 8% increase in average cart value by Friday becomes a reality. If you are looking to deploy an e-commerce marketing strategy without blowing your budget, this automated approach frees up time for other growth levers.
Convert over 2,000 customers on average per month with Qstomy.
The world’s 1st Shopify AI dedicated to customer conversion
Empowering 200+ e-commerce merchants
One-click installation and ready-to-use modules
No developer brief or theme modification needed: AI Product Recommendations+ integrates directly from the Shopify App Store. Once installed, the application automatically injects cross-sell blocks on the cart page and upsell blocks on product pages. Recommendations appear immediately, powered by existing sales data.
You configure the display - block title, number of suggestions, visual style - in a simple control panel, without touching the code. Changes are reflected in real-time on your online store and POS terminals. This speed of deployment allows founders or e-commerce managers to test the impact on average order value as early as the same afternoon, and then refine the rules as product launches progress.
Machine learning and manual control combined
The algorithm observes which products are bought together, identifies recurring navigation paths, and surfaces items that statistically increase the basket size. However, the AI does not know your merchandising priorities: launching a capsule collection, end-of-season clearance, or highlighting a high-margin SKU. This is where manual rules come into play.
You can pin a specific bundle so that it always appears in the top position on certain product pages, or exclude a discounted item from premium suggestions. The interface allows you to switch between autopilot for evergreen references and targeted intervention for campaigns. This flexibility avoids relying 100% on an opaque engine while still leveraging the power of machine learning for the long-tail catalog.
Synchronization of online store and Shopify POS
Omnichannel brands often juggle between two sales logics: one for the website, another for physical points of sale. AI Product Recommendations+ automatically synchronizes suggestions across the entire Shopify ecosystem, including POS terminals. The result: your in-store sales associates see the same accessory recommendations as your online visitors, which unifies the pitch and facilitates upselling.
For a home decor brand with five stores and an e-commerce site, this consistency eliminates the need to manage two separate sets of rules. You configure seasonal bundles once in the Shopify admin, and every register displays the same attach logic. If you want to avoid contradictory responses between channels, this type of Shopify POS omnichannel support strengthens the overall customer experience.
Track average order value and conversion directly in Shopify Admin
AI Product Recommendations+ injects tracking events into your Shopify admin to measure the real impact on the average cart value and conversion rate. You view a dashboard displaying the number of orders that included a recommendation, the average gain per transaction, and the click-through rate on the modules. No need to export data to a third-party tool or cross-reference CSV files.
This visibility allows for quick decision-making: if a manual bundle performs better than the algorithm, you generalize it; if a category stagnates, you adjust the rules or test new visuals. For brands that want to track and measure their e-commerce performance without multiplying platforms, centralizing these metrics in the native interface simplifies daily management.
Three concrete use cases
DTC ready-to-wear brand, 2 to 8 million GMV, A small marketing team installs the application to add cross-sells to the cart without developer commission. They manually pin new collections during launches, let the AI manage the rest of the catalog, and observe an average cart increase of 5 to 12% on orders with a clicked recommendation.
Omnichannel homeware brand, 5 to 20 million GMV, In-store salespeople and the website display the same accessory suggestions thanks to POS synchronization. The team maintains a single set of bundle rules instead of duplicating logic across two systems, harmonizing the physical and digital shopping experience.
Beauty startup under 1 million GMV, founder-led, The free version allows launching upsells in a few hours, replacing a static section with trackable blocks. The founder customizes recommendations to highlight flagship products before justifying a budget for a more advanced personalization platform.
Key features of AI Product Recommendations+
Automatic cross-sell and upsell blocks , The application generates modules on the cart page and product sheet without manual intervention, based on sales history.
Trainable AI engine , The algorithm learns from observed product associations and refines suggestions as the catalog and orders evolve.
Customizable merchandising rules , You force the display of certain SKUs, exclude references, or create static bundles for special campaigns.
Native Shopify POS compatibility , In-store terminals display the same recommendations as the online store, unifying the omnichannel strategy.
Integrated reporting in Shopify Admin , Average order value gain, click-through rate, and number of attributed conversions appear directly in the Shopify interface.
Shopify integrations and checkout
AI Product Recommendations+ integrates natively with the Shopify checkout funnel to display last-minute suggestions before payment validation, capturing upsell opportunities at the hottest moment of the journey. The application also communicates with Shopify Admin to synchronize catalogs, inventory, and sales data, ensuring that recommendations remain consistent with actual availability.
Finally, Shopify POS compatibility transforms every checkout terminal into an augmented point of sale: the salesperson can see suggested accessories at a glance and offer the attach rate without having to manually memorize product combinations. This backend convergence simplifies daily management and reduces catalog errors between channels.
Alternatives if AI Product Recommendations+ is not a good fit
If you are looking for cross-channel personalization—emails, on-site banners, search—driven by a single segment engine, platforms like Rebuy Personalization Engine or Nosto offer advanced A/B testing and customer-by-customer targeting logic. These solutions are better suited for mid-market brands that want to orchestrate campaigns and merchandising from a unified interface.
For technical stacks outside of Shopify, BigCommerce, WooCommerce, or headless platforms, you will need to look at agnostic engines capable of integrating via API. AI Product Recommendations+ remains confined to the Shopify ecosystem and does not handle email personalization or external CMS content. Therefore, weigh your architecture carefully before choosing.
Integrates well with other Shopify apps
Coupling AI Product Recommendations+ with a live chat solution, such as Gorgias, Tidio, or Juphy, maximizes conversion by combining visual on-page recommendations with personalized conversational advice. The chatbot answers pre-purchase questions and recovers abandoned carts, while the module automatically surfaces cross-sells once the main item is added.
This complementarity works well for brands that want to optimize their e-commerce customer experience without multiplying dashboards: one tool manages the conversational relationship, the other drives on-page merchandising. Together, they cover discovery, consideration, and closing, increasing both conversion rates and average order value.
Why Qstomy complements (or replaces) traditional recommendations
AI Product Recommendations+ excels at upselling and cross-selling on the cart and product pages, but does not handle post-purchase customer relations or customer service inquiries. This is where Qstomy, a conversational Shopify AI agent, comes in. Qstomy guides your visitors toward a purchase by answering product questions, offers personalized recommendations in natural dialogue, and then handles parcel tracking, returns management, and delivery policy assistance, all within a single chat interface.
While a recommendations module remains silent when faced with a question about size or compatibility, Qstomy combines intelligent suggestion with augmented human advice. More than 100 Shopify merchants are already using Qstomy to convert visitors into buyers, reduce cart abandonment, and automate recurring customer service. If you want to go beyond a simple product block and offer an end-to-end conversational experience, from discovery to customer service, Qstomy unifies the buying journey and customer relations under a single agent.
Checklist, summary, and FAQ
Pre-installation Checklist
Verify that your store is running on Shopify (Online Store 2.0 recommended).
Identify priority pages: cart, best-selling product pages, checkout funnel.
List your bundles or SKUs to pin manually for ongoing campaigns.
Enable tracking in Shopify Admin to measure average order value and conversion starting from Day 1.
In brief: AI Product Recommendations+ automates upsell and cross-sell on Shopify using machine learning, while allowing merchandisers to force specific products. One-click installation, native POS sync, and integrated admin reporting make it a quick choice for small and medium-sized DTC brands looking to boost average order value without a developer sprint. To go further and cover pre-purchase advice, customer service, and parcel tracking in a unified conversational experience, explore how to build and develop a high-performing Shopify store by combining smart merchandising and an AI agent like Qstomy.
Frequently Asked Questions
Does the app work outside of Shopify?
No, AI Product Recommendations+ is exclusively designed for the Shopify ecosystem (online store and POS).
Can I test for free before paying?
Yes, a freemium version allows you to launch the modules without a credit card, ideal for validating the impact before upgrading to a paid plan.
How do I pin a product manually?
In the app dashboard, select the target SKU and define the priority rule; the module will display this product first on the configured pages.
Do recommendations also display at physical checkouts?
Yes, via Shopify POS synchronization: your retail terminals show the same suggestions as the online store.
What is the difference with Qstomy?
AI Product Recommendations+ offers static visual blocks; Qstomy dialogues in real-time with the customer, recommends products in conversation, handles customer support, and tracks packages — a complete conversational approach beyond a simple module.
To go further: Is Shopify just for online stores? POS, B2B, retail - Qstomy, How to deploy digital marketing on an e-commerce site? - Qstomy, How does e-commerce use email marketing? - Qstomy, What e-commerce marketing strategy without an advertising budget? - Qstomy, Omnichannel support Shopify POS + online store: avoiding contradictory answers - Qstomy, What e-commerce platform does Amazon use? - Qstomy.
Enzo
August 26, 2026
