AI is changing how e-commerce brands operate. The AI tools for e-commerce available now are smarter and easier to use than ever before. The e-commerce sector's adoption of AI is projected to have a CAGR of 24.34% until 2034, with a total market volume of $64.03 billion. In fact, over 50% of e-commerce brands have already been using AI tools.
If you're running an online store, managing a product catalog, or scaling customer support, then using AI tools in your processes has become essential to stay ahead in the competitive space.
In this guide, we will learn how AI tools help ecommerce and digital marketing leaders improve personalization, customer retention, and streamline operations. We guide you through the top AI tools for e-commerce in 2025 and show how Dragonfly AI's attention-tracking and visual analysis enhance conversion and engagement when combined with these tools.
AI tools for e‑commerce are software systems that use machine learning and data analysis to process large amounts of data, find patterns, and make decisions based on those patterns. Unlike traditional software, they do not just follow fixed instructions. They improve and adjust as they work with more data.
These tools often rely on advanced technologies such as machine learning for ecommerce and deep data analytics to continuously adapt and improve performance across sales funnels.
AI studies customer behavior, such as browsing history and past purchases, to offer better recommendations, more relevant search results, and personalized shopping experiences. These tools also take over time‑consuming work like customer support and supply chain management. This reduces manual effort and helps businesses respond faster and more consistently.
AI is now at the core of how e-commerce works. The market is growing fast, with tools built for key areas like personalization, pricing, and logistics.
The following tools span multiple categories, and many of them leverage predictive analytics in ecommerce to guide decisions and improve ROI.
Now, let's discuss each tool in detail by category.
Personalization is now a basic expectation for any online shopper. AI-based personalization engines lead the way in creating these customized experiences.
Nosto is a commerce experience platform that uses AI to create highly personalized commerce experiences. It integrates four AI technologies including predictive AI, semantic AI, visual AI, and generative AI.
Nosto uses these AI technologies to adjust recommendations, search results, and content across channels like emails and pop-ups based on real-time customer behavior and transactional data. It helps increase conversion rates by showing the products that customers are most likely to purchase.
Best Features
Pricing: Custom pricing
Ratings: 4.6 out of 5 based on 235 G2 reviews
Dynamic Yield, owned by Mastercard, is an AI-based system that personalizes content, products, and offers for each customer. Its AI feature predicts how customers will act in the future across websites, phones, emails, and apps.
Best Features
Pricing: Custom pricing. But the mid-market price is 11% lower than the average Personalization Engines product, while the enterprise price is 23% higher.
Ratings: 4.5 out of 5 stars based on G2 reviews
AI chatbots and virtual assistants are changing customer service from a cost center into a strategic asset. They offer quick support to customers and can even help drive sales.
Tidio Lyro is an AI-powered customer service platform to automate customer support and engage customers in real-time. Its special AI agent, Lyro, can answer most customer questions, which helps respond faster and allows staff to focus on more complex issues.
Best Features
Pricing: Lyro AI Agent starts at $39/month for 50 conversations, scalable by volume. Pair it with the Tidio customer service suite, and the Starter plan costs $24.17 a month for 100 billable conversations. Growth plan is $49.17/month for up to 2,000 billable conversations. The Plus plan starts at $749/month, and the Premium plan offers managed service and a guaranteed 50% AI resolution rate, from 5,000 Lyro AI conversations.
Ratings: 4.7/5 star rating based on G2 reviews
Predictive analytics and CRO tools analyze data and help businesses make changes before problems happen. This led to higher conversion rates and revenue.
Optimizely is a Digital Experience Platform (DXP) that helps businesses create digital content quickly and personalize experiences for users. It also allows companies to test different options to see what works best. The system uses AI and built-in analytics to help businesses see real results from their efforts.
Best Features
Pricing: Custom plan available
Ratings: G2: 4.2 out of 5 based on 310 reviews, and Score 8.6 out of 10 on TrustRadius
Competitive market demands change prices quickly to attract more customers and maximize profitability. AI in e-commerce enables smarter, data-driven pricing strategies that respond dynamically to market conditions.
Competera uses AI to help set the best prices for each product in different stores and sales channels. It considers more than 20 different factors to make these decisions. Its AI engine is trained on large data, including over 10 billion real-world transactions, which helps it suggest highly accurate prices.
Best Features
Pricing: Available upon request
Ratings: 4.9 out of 5 based on G2 reviews
E-commerce businesses are transforming their operations with AI-driven efficiencies. AI ensures smoother, more reliable supply chain performance across the board.
Cin7 is an inventory and order management solution offering integration with over 700 ecommerce platforms, including Shopify, Amazon, and WooCommerce. It's feature "ForesightAI" uses more than 100 algorithms to predict customer demand and market trends up to two years in advance.
Best Features
Pricing: Cin7 Core offers three tiers, Standard, Pro, and Advanced. Each plan is designed to meet the needs of growing businesses, with increasing features and scalability. Pricing starts at $349/month.
Ratings: 4.2 out of 5 based on G2 reviews
Prediko is also an AI-powered inventory management tool to help Shopify brands manage their inventory and predict sales. It provides highly accurate AI-powered sales forecasting at granular levels (SKU, product, category, and even store) and also helps manage purchase orders.
Best Features
Pricing: Starts at $49 per month
Ratings: 4.7 out of 5 based on G2 reviews
Knowing what draws consumer attention can make or break a sale in e-commerce. . This is where Dragonfly AI come in handy. Dragonfly AI helps you understand and optimize exactly what attracts, engages, and converts your shoppers. Here are the key benefits of using Dragonfly AI:
Major retailers are using AI to solve real business problems. They are focusing on efficiency, better customer experiences, and stronger sales performance.
Amazon has launched Rufus, a conversational AI tool that helps customers find products and get tailored recommendations using natural language. The company expects Rufus to generate over $700 million in indirect profit by the end of 2025, driven by higher customer spending. This does not include expected ad revenue from 13 global markets.
Walmart has rolled out Sparky, a generative AI assistant available in its mobile app. Customers can use it to browse items, manage orders, and generate recipes. Walmart is also applying AI across logistics, workforce management, and seller tools. Its goal is for 50% of total sales to come from online channels within five years, supported by a unified AI system.
Other Examples
Many other companies like Nike, L'Oréal, and IKEA use AI for personalized product recommendations, virtual try-on features, and better search options. Here’s how:
A positive trend is that AI tools are becoming more accessible and affordable for small and medium-sized businesses, often through flexible subscription plans. This allows smaller companies to access advanced AI that was previously limited to larger corporations.
Adopting predictive analytics in e-commerce requires a strategic approach including planning, integration, ethical considerations, and continuous optimization. The table below explains the best practices for ecommerce optimization, actionable steps, and why using AI in ecommerce matters.
As we look ahead, several emerging trends are shaping the future of AI in e-commerce. Some trends to watch for:
The rise of AI in e-commerce is a fundamental shift in how brands attract, engage, and retain customers. From personalized recommendations and chatbots to analytics and pricing, AI tools are essential for today’s digital competition.
As neuromarketing, generative AI, and ethical innovation continue to grow and improve, the e-commerce experience will become even more intuitive, immersive, and truly focused on people.
Ready to see how AI-powered visual analysis can transform your e-commerce business? Book a demo of Dragonfly AI today and discover a new way to understand your customers.
For more insights into the future of marketing and technology, explore our blog, including our article on "The Future of eCommerce: Harnessing Neuromarketing with AI".