How AI Powers eCommerce Experiences in Adobe Commerce

Artificial intelligence, once a future-facing innovation, is now a baseline for staying relevant in the modern eCommerce space. 

About 33% of B2B eCommerce companies in the U.S. have fully implemented AI, while 47% are evaluating it. The AI-enabled eCommerce market is projected to reach $22.60 billion by 2032.

Failing to integrate AI means missing out on efficiency gains, conversions, and meeting the full potential of your eCommerce business.

And if you’re running your eCommerce store on Adobe Commerce, here’s the good news—AI is already integrated into your platform.

It is redefining digital commerce by empowering businesses to make smarter decisions, automate time-intensive tasks, and create personalized journeys that feel one-to-one, even when serving thousands.

In this blog post, we’ll break down how Adobe Sensei is bringing AI to life in Adobe Commerce and how it can help your business stay relevant, responsive, and retail-ready in the increasingly competitive market.

9 Must-Explore Features Inside Adobe Commerce’s AI Toolbox

1. Live Search with AI-Powered Speed and Relevance

Live Search in Adobe Commerce enhances the shopping experience by delivering instant, predictive results using AI and machine learning. It supports robust out-of-the-box features like multi-language search, AI-driven category merchandising, rules-based search, and intelligent faceting. It interprets user intent even with vague, misspelled, or partial queries and matches it against enriched product data in real-time. The result? Faster product discovery, reduced bounce rates, and higher conversions. Not just this, it’s free for Adobe Commerce merchants and integrates via a downloadable module. Businesses just have to ensure their product data is structured and optimized for the best results. Users can also configure Live Search settings to align with their business goals and monitor search queries to continuously fine-tune performance.

Furthermore, Adobe Commerce teams up with Elastic on AWS to supercharge search performance, especially for merchants managing large, complex product catalogs. This integration ensures lightning-fast, AI-enhanced search across millions of SKUs, without sacrificing accuracy or relevance. By combining Elastic’s scalable indexing engine with Adobe’s AI capabilities, merchants can deliver real-time search experiences that stay sharp even under peak traffic, ensuring customers never miss what they’re looking for. To date, over 1.2 billion search requests have been made using Live Search, contributing to an average 7% increase in conversion rates.

2. Intelligent Re-Ranking for Optimized Product Visibility

Intelligent Re-Ranking uses AI to automatically sort and prioritize products on search results and category pages based on user behavior, inventory levels, trends, and business rules. Instead of showing products in static or random order, this feature ensures that the most relevant and likely-to-convert items appear first. For instance, if a product is frequently bought or currently trending, it is pushed higher in results. This dynamic ranking enhances product discoverability and boosts sales performance without manual merchandising.

3. AI-Driven Product Recommendations for Personalization & Upselling

Adobe Commerce leverages Adobe Sensei to analyze customer behavior, like browsing history, previous purchases, cart contents, and popular items, to deliver highly personalized product recommendations. These are displayed across key touchpoints such as product pages, cart pages, and email campaigns, facilitating cross-selling and upselling. Merchants can choose from 13 AI-powered recommendation types, including data and image-based options, with the flexibility to apply custom rules. Available via a free extension, this feature helps increase click-through rate and average order value, enhancing the customer journey while driving measurable business results.

Additionally, Adobe Commerce’s AI equips businesses to define and target specific customer segments such as repeat buyers, high-value customers, or first-time visitors, with customized content, pricing, and promotions. Using machine learning, the system refines these segments based on real-time behavior. For example, loyal customers might receive early access to sales, while new visitors could see curated bundles. This targeted engagement drives higher conversion rates and builds stronger customer relationships.

To implement product recommendations, merchants should integrate customer data, configure the appropriate recommendation types, and fine-tune algorithms for higher accuracy and effectiveness. Results can show up to a 15% increase in click-through rate and a 20% boost in average order value.

4. AI-Powered Category Merchandising and Intelligent Ranking

Adobe Commerce utilizes AI to enhance category merchandising by providing intelligent ranking and personalized product visibility. With intelligent ranking powered by Adobe Sensei, products are dynamically sorted based on customer behavior (e.g., most purchased, most added to cart, trending) and updated as shopper preferences change. This ensures that the most relevant products get consistently highlighted. 

Additionally, AI enables businesses to define search rules and curate product displays according to customer segments, geographies, or business priorities. To use segment-specific content and promotions, first segment your audience, then create targeted campaigns accordingly. Monitor their performance and refine them as needed for better results.

Combined with faceted search and multi-language support, this AI capability empowers merchants to deliver highly personalized, efficient, and scalable merchandising strategies, benefiting both B2B and B2C audiences. In B2B commerce, AI also streamlines bulk purchasing, pricing rules, and quoting processes, all while automating catalog personalization, ensuring tailored recommendations based on buyer roles and behaviors.

Real-world impact: Coca-Cola reported a 117% increase in CTR and a 36.5% revenue boost via product recommendations.

5. AI-powered Inventory Optimization and Demand Forecasting

By analyzing sales history, seasonal trends, and real-time customer behavior, Adobe Commerce’s AI capabilities help businesses accurately forecast product demand and manage stock levels. This predictive insight minimizes out-of-stock and overstock situations, ensuring smoother operations and better cash flow. It also supports intelligent product substitutions and proactive restocking strategies, critical to delivering a seamless customer experience.

6. Meta Advantage+ for AI-Powered Campaign Optimization

Meta Advantage+ integrates with Adobe Commerce, providing powerful AI-driven capabilities to optimize eCommerce advertising campaigns. This suite of tools leverages artificial intelligence to simplify campaign creation, enhance targeting, and personalize advertising efforts to boost customer engagement and return on ad spend. By analyzing user behavior and personal preferences, Meta Advantage+ generates high-performing, relevant ads that resonate with the right audience. Its features such as automated creative combinations, personalized audience targeting, and adaptive product offerings based on availability and seasonality, ensure that your marketing campaigns drive conversions. Meta Advantage+ also fosters personalized product recommendations, automated ad creative adjustments, and advanced targeting. 

7. Generative AI for Product Asset Creation and Management

To meet the rising demand for content, Adobe Commerce integrates with Adobe Experience Manager Assets and Adobe Firefly for generative AI-powered asset creation. Merchandisers and creative teams can quickly generate product images, variations, and promotional banners without requiring advanced design skills. These assets can be published directly across storefronts and marketing channels, accelerating go-to-market timelines and maintaining brand consistency.

8. Performance Recommendations in Adobe Commerce

Performance recommendations in Adobe Commerce leverage AI to help merchants optimize their online store’s speed and efficiency. Using data-driven insights, the AI analyzes site performance metrics, traffic patterns, and infrastructure conditions to identify key areas for improvement. From optimizing image sizes to adjusting caching strategies or configuring servers for peak traffic, these recommendations help merchants enhance the customer experience. 

By following these AI-driven suggestions, businesses can ensure faster load times, reduce latency, and have smoother transactions, directly contributing to higher customer satisfaction & conversions. Integrated with Adobe Sensei, Performance Recommendations are designed to keep the storefront running at its best, especially during high-demand periods.

9. Predictive Testing in Adobe Commerce

As mentioned at Adobe Summit 2025, Predictive Testing/ Targeting is an upcoming AI-powered feature in Adobe Commerce that will proactively optimize storefront performance and personalization. Leveraging Adobe Sensei, it will analyze historical data, user behavior, and code changes to predict high-risk areas, like checkout flows or third-party integrations, and target them for preemptive testing. Simultaneously, it will identify key customer segments and deliver tailored experiences based on anticipated behavior. This dual capability will reduce critical errors, accelerate QA, and sharpen personalization strategies. While the feature is not officially released, it promises to transform how businesses test, target, and deliver seamless shopping journeys.

The Next Step? 

Understanding the AI capabilities in Adobe Commerce is just the beginning. The next step is putting those tools to work, delivering progressive shopping journeys, optimizing backend operations, and driving consistent revenue growth. But harnessing the full power of Adobe’s AI suite takes careful planning, seamless integration, and the right configurations aligned to your unique business goals.

That’s where an experienced Adobe Commerce Partner, like Grazitti Interactive, can guide you. Our experts:—  

• Strategize AI adoption based on your industry, audience, and growth objectives.
• Implement and configure Adobe tools like Live Search, Product Recommendations, and Meta Advantage+ for maximum ROI.
• Continuously optimize performance with data-backed experimentation and iterative enhancements. 

References: 

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Frequently Asked Questions (FAQs)

Ques 1: Is it possible to use Adobe Sensei in Magento Open Source?
Ans: No. Adobe Sensei is not available for Magento Open Source. It is built exclusively for Adobe Commerce and Adobe Commerce Cloud. This means that key AI-powered features like Live Search, intelligent product recommendations, and automated merchandising are only accessible on the enterprise-level platform. 

Ques 2. Do I need additional licenses to use Adobe Sensei features in Adobe Commerce?
Ans: No separate license is required for core Adobe Sensei features like Live Search or Product Recommendations. However, advanced integrations with Adobe Experience Cloud products (like Real-Time CDP or Firefly) may require additional subscriptions.

Ques 3. How do I activate AI-powered product recommendations in Adobe Commerce?
Ans: You can enable AI-powered recommendations by installing the Product Recommendations module, connecting your store to Adobe’s services, and ensuring your catalog is enriched with accurate metadata. Adobe Sensei will then start learning from shopper behavior to surface relevant suggestions.

Ques 4. Can AI capabilities be customized for specific customer segments?
Ans: Yes. Adobe Commerce enables you to create personalized experiences using machine learning-based segmentation. You can target customer groups with tailored content, promotions, and product visibility based on their real-time behavior and purchasing patterns.

Ques 5. How can Adobe Commerce users extend AI capabilities beyond the platform?
Ans: Adobe Commerce users can enhance their AI capabilities by integrating with Adobe Experience Platform (AEP) for advanced audience segmentation, Adobe Journey Optimizer (AJO) for orchestrating personalized customer journeys, and Adobe Firefly for generative AI-driven content creation. These integrations enable deeper personalization, streamlined automation, and accelerated go-to-market strategies.