34 Best AI Tools for eCommerce Businesses Growth in 2026

Over the past few years, AI has rapidly evolved from hype to hands-on utility. As a result, AI tools for eCommerce are now powering faster workflows, smarter selling, and better customer experiences.

And, that momentum isn’t slowing down in 2026. We’ve tested tools across different eCommerce use cases, and here’s our curated list of 34 AI tools for eCommerce by category to help you find what fits best:

• Customer support & service: Gorgias, Tidio, eDesk, Inbenta, Kount;
• Content & product management: Shopify Magic, Jasper, ChatGPT, GrammarlyGO, Surfer AI, Freepik, Midjourney, Synthesia, Ocoya, Pictory;
• Personalization & recommendations: Dynamic Yield, Recombee, Nosto, Klaviyo, Bluecore, Competera;
• Search & discovery: Klevu, ViSenze, Algolia, Sitechecker, Lily AI;
• Marketing & sales automation: Optimove, Salesforce Einstein, AI Wishlist by Wisepops, Buffer AI Asssisstant;
• Operations & analytics: Zebra, Polar Analytics, Plerdy, Adobe Sensei;

Let's get started!

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AI Tools for Customer Support & Service

1. Gorgias

Rating: 4.6/5 on G2

Pricing:

• Starter: from $10/month
• Basic: from $50/month
• Pro: from $300/month
• Advanced: $750/month

AI tech used: Natural Language Processing (NLP) and GPT-based language models; generative AI for intent detection and reply assistance.

Gorgias is an AI tool to help you manage customer conversations from email, live chat, and social channels in one shared inbox. It supports faster replies by using AI to understand common customer questions and suggest relevant responses.

From our experience, the biggest value of Gorgias comes from how much context it gives your support team in every conversation. You can see customer history, past conversations, and order-related details directly inside the ticket. The saved replies and AI suggestions also make daily support faster, especially for common questions, while still keeping replies human and on-brand.

Pros:

• A single inbox keeps all customer conversations organized and easy to track.
• Tagging and internal notes make team collaboration clearer, especially when multiple agents handle the same customer.
• Strong automation for handling repetitive support tasks while keeping replies consistent.
• Broad integrations with eCommerce platforms, payment tools, and shipping services.

Cons:

• Pricing scales quickly when support volume grows.
• High message volume can make the inbox feel crowded at times.

Used for: Customer support automation, intent-based routing, reply suggestions, and faster handling of common support inquiries.

2. Tidio

Rating: 4.7/5 on G2

Pricing:

• Free to start: Get 50 free conversations right out of the gate.
• Paid plans: Premium access starts at $0.50 per conversation.

AI tech used: Natural Language Processing (NLP) and generative AI models trained on existing support content.

Next is Lyro, your new AI bot from Tidio, which is built to take a huge load off your customer service team.

As one of the top AI tools for eCommerce businesses, this multilingual helper can instantly answer customer questions across all your live channels. It uses your existing support content and doesn’t require complex training. Responses are fast and natural – much quicker than the typical 2-minute wait with human agents.

After spending some time with Lyro in real support situations, one thing becomes surprisingly noticeable. The bot does not rush to answer just to look smart. In conversations where customer questions are vague or slightly off-topic, Lyro tends to pause, ask a short clarifying question, or quietly hand things over to a human agent. That small behavior makes a big difference in real use.

Pros:

• Easy setup that works well even without technical knowledge.
• AI chatbot covers common customer questions effectively.
• Live chat and chatbot combine smoothly in one simple interface.
• Entry-level pricing suits small teams and new stores.

Cons:

• Limited control over complex support logic.
• Less suitable for large teams with advanced workflows.

Used for: Automated customer support, instant replies to common questions, and AI-assisted live chat across multiple channels.

3. eDesk

Rating: 4.5/5 on G2

Pricing:

• Essential: $49/month.
• Growth: $115/month.
• Professional: $149/month.

AI tech used: Natural Language Processing (NLP), AI-assisted ticket prioritization, and smart response suggestions.

eDesk is one of those AI tools for eCommerce that understands the messy reality of support. Customers do not always contact you from just one place, and eDesk is clearly built with that in mind. Messages coming from your website, marketplaces, or other sales channels all land in one view, so you do not have to guess where a conversation started.

What stands out during real use is how closely eDesk keeps each conversation tied to an actual order. When a customer reaches out, the related order and sales channel are already there, without extra clicks. This becomes especially useful when things get busy.

Pros:

• Automation rules help prioritize urgent tickets and reduce manual sorting.
• Built-in SLA tracking supports faster response and accountability.
• Reporting tools give clear visibility into agent performance and workload.

Cons:

• Initial setup takes time for teams with many channels.
• Advanced features feel complex for very small support teams.

Used for: Centralized customer support, order-based ticket management, and omnichannel support for eCommerce and marketplace sellers.

4. Inbenta

Rating: 4.6/5 on G2

Pricing: Consumption-based pricing, with costs determined by usage volume and CX complexity.

AI tech used: Natural Language Processing (NLP), semantic search, intent detection, and machine-learning models trained on structured knowledge bases.

Designed specifically to solve CX data challenges, Inbenta focuses on turning fragmented support content into a single AI-powered knowledge layer. Instead of centering on chat flows, the platform helps you deliver accurate answers by connecting FAQs, help articles, and internal documentation into one consistent source of truth for customer support.

With Inbenta, the difference shows up quietly during real conversations. When a question goes slightly off-script or touches on sensitive policies, the AI stays calm and careful instead of trying to sound helpful at all costs. We noticed that replies always trace back to approved knowledge, and nothing feels made up just to keep the chat moving.

Pros:

• The platform delivers strong semantic understanding and does not rely on exact keywords.
• Built-in escalation and handoff options allow smooth collaboration between AI and human agents.
• Multilingual capabilities make it easier to maintain consistent support experiences across regions.

Cons:

• Well-structured and regularly maintained knowledge content is required for the platform to work effectively.
• The tool is less suitable for casual or highly conversational chatbot use cases.

Used for: CX-focused customer support, knowledge-based self-service, and AI assistance for live agents using a shared knowledge layer.

5. Kount

Rating: 4.8/5 on G2

Pricing: Consumption-based pricing, typically based on transaction volume and risk coverage; pricing is provided through custom agreements

AI tech used: Machine learning, behavioral analytics, device fingerprinting, and real-time risk scoring.

Kount is an AI-powered fraud prevention platform that runs quietly alongside your checkout and account flows. The system evaluates transactions, logins, and account activity in real time to stop fraud while letting genuine customers move through without disruption.

Device fingerprinting and IP tracking allow Kount to spot suspicious users who try to hide their identity. Those signals are then combined with data from Kount’s Universal Identity Network, which helps the system judge whether a transaction can be trusted.

Pros:

• A large shared data network strengthens fraud detection across merchants.
• Real-time risk decisions help reduce manual review workload.
• Flexible rules allow teams to fine-tune fraud tolerance levels.

Cons:

• Initial setup and tuning require time and fraud expertise.
• Pricing may feel high for very small or low-volume stores.

Used for: Fraud detection and prevention, reducing chargebacks, protecting customer accounts from takeover, and keeping checkout secure without slowing down legitimate buyers.

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Content & Product Management

6. Shopify Magic

Rating: 4.8/5

Pricing: Included in Shopify plans (no separate AI usage fee)

AI tech used: Generative AI and natural language processing, trained on commerce-related data

To start with, Shopify Magic sets a very practical tone for how AI tools for eCommerce can be used day to day. The feature lives directly inside the Shopify admin and supports merchants when writing product descriptions, basic marketing copy, and store content.

When you work with Shopify Magic, the value shows up most clearly at the starting point. You already have product details, ideas, or rough notes, and the AI helps turn those inputs into clean, readable copy within seconds. The drafts are not meant to be perfect, but they give you a strong base that is easy to adjust to match your brand voice.

Pros:

• The tool supports multiple writing tones, which helps adapt content for different product types and audiences.
• Built-in language suggestions improve clarity and readability for non-native English writers.
• Content generation stays aligned with eCommerce context, such as benefits, features, and selling points.

Cons:

• Manual review is still needed to ensure brand voice consistency.
• Complex or long-form content requires more advanced AI writing tools.

Used for: Product descriptions, basic marketing copy, email drafts, and quick content creation inside Shopify.

7. Jasper

Rating: 4.7/5 on G2

Pricing (7-day trial available):

• Creator plan: $49/month per seat
• Pro plan: $69/month per seat
• Business plan: Custom pricing for larger teams with scalable needs.

AI tech used: Generative AI and natural language processing, trained on marketing and brand-focused content

Jasper AI is a content generation tool designed to help users create marketing copy, blog articles, and social media posts more efficiently. It uses AI models trained on a large dataset of human-written text, allowing it to produce content that sounds natural and matches different tones or styles.

Using Jasper feels closer to working with a content assistant than a simple text generator. The tool shines when you need to maintain a consistent brand voice across product pages, landing pages, ads, and emails. You can guide the AI with tone, style, and context, then reuse that setup across different content types.

Pros:

• The tool generates large volumes of content quickly, which helps teams meet tight deadlines and scale output.
• Jasper supports more than 30 languages and maintains solid grammar and structure across them.
• Jasper Art lets users generate and edit images to pair visual assets with written content.

Cons:

• Jasper struggles with highly technical or niche topics and can produce inaccurate or unusable content.
• Content credits can run out quickly when the output needs multiple retries or heavy editing.

Used for: Creating and scaling marketing content such as product descriptions, blog posts, ads, emails, and social posts for consistent brand voice.

8. ChatGPT

Rating: 4.7/5 on G2

Pricing:

• Free: $0/month
• Plus: $20/month
• Pro: $200/month
• Team: $25/month

AI tech used: Generative AI (large language models), natural language processing (NLP), reinforcement learning from human feedback (RLHF)

If you are looking for one of the best free AI tools for eCommerce, we highly recommend ChatGPT. This is a generative tool that supports a wide range of eCommerce needs – from customer service automation to product research and beyond. When it comes to content specifically, ChatGPT can help you write product descriptions, generate blog posts, suggest email subject lines, or rephrase copy for ads and social media.

With the right prompt, ChatGPT can adapt to brand tone and simplify content production workflows. As of 2025, OpenAI CEO Sam Altman confirmed that ChatGPT has reached 800 million weekly active users, making it one of the most widely adopted AI tools for both individuals and businesses.

Pros:

• ChatGPT supports long-form content generation with better coherence than most AI copywriters.
• It can generate up-to-date, research-backed content on current topics.
• The tool supports multilingual content creation, making it easier to reach international audiences.

Cons:

• Output may sound too generic or repetitive without strong, clear prompts.
• Factual accuracy can vary, so content still needs review before publishing.

Used for: Generating and editing written content across product pages, blogs, emails, and social media.

9. GrammarlyGO

Rating: 4.7/5 on G2

Pricing:

• Grammarly Free: $0, 100 GrammarlyGO prompts per month
• Grammarly Premium: $30/user/month ($12 when billed annually), 1000 GrammarlyGO prompts per month
• Grammarly Business: $25/user/month ($15 when billed annually), 2000 GrammarlyGO prompts per month

AI tech used: Generative AI and natural language processing, combined with Grammarly’s grammar, tone, and context analysis models.

GrammarlyGO is like a smarter, more creative cousin of Grammarly that's here to make writing a whole lot easier. It builds on Grammarly's trusted grammar and tone correction tools but adds the power of AI so you can actually create content, not just fix it.

We like how easy it is to adjust tone and formality with very little effort. A few clicks can make the same message sound more confident or more casual. However, GrammarlyGO is not a tool we recommend using to write long content from scratch. It works best as a helper that improves what is already written, not as a full content generator.

Pros:

• The tool supports five writing modes that cover ideation, drafting, replying, rewriting, and tone personalization in one place.
• Broad platform support allows GrammarlyGO to work smoothly across browsers, desktop apps, and common writing tools.
• Context-based prompts help the AI produce more relevant output when personal or situational details are provided.

Cons:

• Long-form content still needs a clear outline and manual direction to stay on track.
• Prompt limits can feel restrictive for users who rely heavily on AI assistance every day.

Used for: Improving and rewriting existing content, adjusting tone and clarity, and drafting short everyday writing across work and eCommerce tasks.

10. Surfer AI

Rating: 4.8/5 on G2

Pricing:

• Essential Plan: $99/month, up to 30 AI-generated articles.
• Scale Plan: $219/month, up to 100 AI-generated articles.
• Enterprise Plan: Custom

AI tech used: Natural language processing combined with SERP analysis and data-driven SEO modeling.

Surfer AI is one of the AI tools for eCommerce when you need your content to rank, not just read well. It focuses on helping content match what already ranks on Google, using real SERP data as a reference point.

As content is written, the tool constantly shows keyword usage, structure requirements, and topic coverage based on top-ranking pages. This makes the process feel very structured and sometimes rigid, but it also removes a lot of SEO guesswork. We find the output usually needs a human rewrite at the end, especially to make the content sound more natural and less mechanical.

Pros:

• One-click content generation allows a full SEO-ready article to be created quickly from a single keyword.
• Smart outlining generates H1, H2, and H3 structures based on what performs well in search results.
• Anti-AI detection options help content stay human-friendly while reducing AI-detection risks.
• Built-in plagiarism checking removes the need for extra originality tools and works smoothly alongside Grammarly or Copyscape.

Cons:

• Content can feel rigid if SEO rules are followed too closely, especially for brand-led or storytelling content.
• SEO scores and suggestions can feel overwhelming for beginners.

Used for: Generating and optimizing SEO-focused content that targets search intent and ranking performance.

11. Freepik

Rating: 4.7/5 on G2

Pricing:

• Free plan: Limited credits and features.
• Essential plan: $5.75/month.
• Premium plan: $12/month.
• Premium+ plan: $24.50/month, with unlimited AI generations and advanced models.

AI tech used: Generative AI for image creation, image enhancement models, and AI-powered photo editing workflows.

Tired of switching between different platforms to create visuals for your store? Freepik AI ecommerce tools bring everything together in one workspace.

The suite uses artificial intelligence to generate, edit, and enhance visuals tailored to eCommerce needs. It helps sellers create a consistent brand presence across online stores, marketplaces, and ad campaigns without relying on multiple design tools.

You can generate branded content, improve existing assets with AI editing, and create realistic mockups ready for product listings or print. The result is a faster, smoother process that saves time while keeping your visuals high-quality and on-brand.

Pros:

• The AI Image Generator creates ready-to-use visuals such as product images, banners, and ads based on text prompts.
• Magnific AI Upscaler improves image quality and resolution for high-definition web and print use.
• Product visuals become much easier to prepare thanks to fast background removal and simple photo editing.

Cons:

• Advanced features and higher usage limits require paid plans.
• Creative control feels more limited compared to professional design software for complex projects.

Used for: Creating, editing, and preparing visual assets for product listings, marketing campaigns, and branded eCommerce content.

12. Midjourney

Rating: 4.4/5 on G2

Pricing:

• Basic plan: $10/month.
• Standard plan: $30/month
• Pro plan: $60/month
• Mega plan: $120/month

AI tech used: Generative AI models for text-to-image creation, trained on visual patterns and artistic styles.

Midjourney is an AI image generation tool that turns text prompts into highly detailed and artistic visuals. People often use it to create illustrations, concept images, and creative visuals for branding, campaigns, or early design ideas. The tool focuses more on visual quality and style than on structured, production-ready outputs.

Using Midjourney, the first thing we noticed was how much the result depends on the prompt. A small change in wording can give a completely different image. There were times the output looked impressive right away, but there were also many tries that did not match what we had in mind at all.

Pros:

• Image quality and artistic style stand out compared to most AI image tools.
• Prompt flexibility allows strong creative control once you understand how the system responds.
• Visual outputs feel unique and less “stock-like,” which helps with brand differentiation.

Cons:

• The learning curve feels higher, especially for users new to prompt-based image generation.
• The workflow is less practical for bulk or repeatable product visuals.

Used for: Creating concept art, brand visuals, campaign imagery, and creative inspiration rather than standardized product images.

13. Synthesia

Rating: 4.7/5 on G2

Pricing:

• Starter plan: $18/month
• Creator plan: $64/month
• Enterprise plan: Custom pricing with higher volume and team collaboration tools.

AI tech used: Generative AI for text-to-video, AI avatars, voice synthesis, and multilingual speech models.

If you’re looking to bring video into your content mix without the usual production hassle, Synthesia is worth a look. It lets you create polished, professional videos without ever stepping in front of a camera. You simply write a script, choose an AI avatar, and the tool turns your text into a full video – complete with realistic voiceover and on-screen presenter.

The visuals and audio feel smooth and natural, even though everything is AI-generated. It’s a great option for teams who want to save time and money while keeping a consistent look and tone across multiple markets and channels.

Pros:

• Lower cost than traditional video production, especially when compared to filming and editing workflows.
• AI avatars and voiceovers help teams produce consistent videos quickly for training or product explanations.
• The platform supports over 120 languages, which makes it easy for businesses to localize their video content at scale.

Cons:

• Visual styles and avatars offer limited customization for strong brand expression.
• The tool is better suited for informational videos than creative or storytelling-heavy content.

Used for: Creating training videos, product explainers, onboarding content, and internal communications without traditional video production.

14. Ocoya

Rating: 4.6/5 on G2

Pricing (7-day free trial):

• Bronze: $19/month
• Silver: $49/month
• Gold: $99/month
• Diamond: $199/month

AI tech used: Generative AI and natural language processing for social content creation and caption writing.

If social media is part of how you sell online, Ocoya sits quite naturally among AI tools for eCommerce. It brings content writing, scheduling, and basic analytics into one place, which makes daily social posting feel lighter and less scattered.

We found Ocoya especially helpful for teams without in-house designers or copywriters. Its built-in AI copywriter (Travis AI) generates product captions and social media text in seconds, while the Canva-style editor makes it easy to create eye-catching banners and promotional graphics.

Pros:

• AI helps generate social media captions quickly, which saves time for busy content schedules.
• Scheduling across multiple platforms keeps social posting organized in one dashboard.
• Broad platform & eCommerce integrations make it easy to turn products into social content.

Cons:

• Some features do not always work as expected and may require retries or manual checks.
• The mobile experience feels weaker than the desktop version, which limits on-the-go social management.

Used for: Creating, scheduling, and managing social media content, especially for eCommerce products and promotional posts.

15. Pictory

Rating: 4.6/5 on G2

Pricing (14-day free trial):

• Starter: $29/month
• Professional: $59/month
• Team: $199/month

AI tech used: Generative AI for text-to-video creation, scene selection, and automated captions.

Pictory is an AI video creation tool that turns text-based content into short, shareable videos. People often use it to convert blog posts, scripts, or long-form text into videos for social media, ads, or website content, without needing video editing skills.

With Pictory, AI automatically breaks content into scenes, adds captions, and keeps the video moving at a steady rhythm. This makes the final result easy to watch, even when the original text is quite dense. The trade-off is that the visual style stays fairly neutral, so extra adjustments are often needed if the video needs a stronger brand or creative identity.

Pros:

• Text-based content can be turned into videos quickly, which can replace hours of manual editing.
• The workflow is simple and approachable for non-video creators.
• Stock visuals, music, and captions are easy to apply in one flow.

Cons:

• Visual styles can feel repetitive without customization.
• Advanced video editing options are limited.

Used for: Repurposing written content into short marketing videos, social media clips, and simple explainer videos.

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Personalization & Recommendations

16. Dynamic Yield

Rating: 4.5/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Machine learning for behavioral analysis, segmentation, and real-time personalization decisions.

Dynamic Yield is a personalization tool used to adjust what shoppers see based on how they behave on your site. It covers things like product recommendations, content blocks, banners, and offers, all changing dynamically as customers browse.

The tool gives a lot of flexibility, which we liked, but it also demands clear thinking. When segments are set up well, the results feel very natural and relevant. When they are not, the experience can quickly feel random. This is one of the AI tools for eCommerce that suit teams who enjoy testing and fine-tuning.

Pros:

• Experiences can change in real time based on how shoppers behave.
• The platform integrates well with CDPs, CRMs, analytics tools, and data warehouses, which helps teams work from a unified data source.
• Built-in testing supports gradual improvement instead of one-time setup.

Cons:

• Setup requires a clear strategy and time to see meaningful results.
• The platform can feel heavy for teams new to personalization.

Used for: Personalizing product recommendations, on-site content, and offers across the eCommerce customer journey.

17. Recombee

Rating: 4.6/5 on G2

Pricing:

• Free
• Standard: from $99/month
• Plus: from $899/month
• Pro: from $1499/month
• Premium: from $2499/month

AI tech used: Machine learning models for collaborative filtering, content-based recommendations, and real-time personalization.

Recombee is a recommendation engine focused on one core job: showing the right items to the right users at the right moment. The platform plugs into your product catalog and user events, then uses that data to power recommendations across pages, emails, and other touchpoints.

Our takeaway after working with Recombee is that it feels very engineer-friendly and quietly effective. Once events and items are mapped correctly, recommendations start improving without much visual noise or heavy rule-setting. The strength shows up in edge cases, such as new users, long catalogs, or fast-changing inventories.

Pros:

• The recommendation logic adapts well to sparse data and fast-moving catalogs.
• APIs and documentation make it flexible for custom setups and headless stacks.
• Real-time updates help recommendations react quickly to user behavior.

Cons:

• The interface feels technical and may not suit non-technical teams.
• Strategic guidance and presets are limited compared to more “managed” platforms.

Used for: Powering personalized product recommendations across websites, apps, emails, and other customer touchpoints.

18. Nosto

Rating: 4.6/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Machine learning for product recommendations, search relevance, and behavioral personalization.

Nosto is your all-in-one AI solution for creating memorable shopping experiences your customers will actually remember. Specifically, it’s a full-blown Commerce Experience Platform (CXP) that helps eCommerce brands turn browsers into buyers by personalizing every touchpoint: product discovery, recommendations, search, content, and more.

The best part about these AI tools for eCommerce is that you don’t need to be a developer or juggle five different tools to make them work. Nosto brings everything together in one clean, intuitive platform with real-time data, plug-and-play integrations, and automation that scales with your business.

Pros:

• Nosto provides ready-to-use modules for product bundles, pop-ups, and banners.
• The visual editor allows you to preview and tweak changes directly on your storefront.
• You can set merchandising rules to control how and where specific products appear.
• The platform integrates smoothly with Shopify, Magento, BigCommerce, and more.

Cons:

• You need to manage dynamic layouts carefully to keep the user experience consistent.
• The built-in A/B testing features are useful, but they are not as flexible as specialized testing tools.

Used for: Personalizing product discovery, recommendations, and on-site content for eCommerce stores.

19. Klaviyo

Rating: 4.6/5 on G2

Pricing: Free up to 250 contacts, paid plans starting at $20/month.

AI tech used: Predictive analytics, dynamic segmentation, automated flow triggers.

Klaviyo is one of the AI tools for eCommerce that helps you understand what customers are likely to do next. It analyzes past behavior to predict factors such as purchase timing, churn risk, and customer value. Based on these signals, you can target people more accurately instead of relying on guesswork.

What we like is how these predictions fit into your daily marketing work. You can use them to prioritize who to message, choose better send times, and add smarter product suggestions. The AI does not run everything for you, but it gives you clearer signals to make better decisions.

Pros:

• Klaviyo offers a drag-and-drop email builder with smart blocks that adapt to each customer.
• The Flow Builder helps you design multi-step automation visually without writing code.
• The platform includes predictive analytics that estimate next purchase dates and customer lifetime value.
• You can connect Klaviyo to over 300 other tools, including CRMs, loyalty apps, and review systems.

Cons:

• You need to manage list cleaning and deliverability settings manually to maintain high email performance.
• The SMS feature works well in the US and Canada, but may feel limited in other regions.

Used for: Automating personalized email and SMS campaigns based on customer behavior.

20. Bluecore

Rating: 4.3/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Customer-product affinity modeling, predictive intent scoring, real-time catalog tracking.

Bluecore stands out among AI tools for eCommerce thanks to its real-time decision-making and retail-specific data processing. It connects customer identity, product data, and behavior signals to trigger timely email and ad campaigns.

We think Bluecore is especially helpful if you have a big catalog or products that change often. Once the system is set up, you can scale campaigns across channels like email, on-site banners, and paid ads without managing each one manually. It feels built for teams that want to personalize without adding complexity to their daily operations.

Pros:

• Bluecore system can identify price or inventory shifts and trigger relevant campaigns right away.
• The platform supports A/B testing for AI-generated recommendations to improve campaign performance over time.
• AI models can prioritize which customer actions should trigger messages, reducing noise and over-communication.

Cons:

• You may need additional setup to take full advantage of Bluecore’s advanced product-customer matching.
• The interface focuses on function over design, which can make it feel a bit clunky for some teams.

Used for: Delivering personalized emails and recommendations that drive repeat purchases.

21. Competera

Rating: 4.9/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Price elasticity modeling, rule-based automation, competitor price scraping.

If pricing is your constant headache, Competera brings some relief. It gives you AI-powered recommendations based on what’s happening in the market right now. You still set the goals, but the tool helps you find the price that keeps you competitive without hurting your margins.

Instead of relying on gut feeling, Competera uses machine learning to crunch competitor prices, product demand signals, and historical data. This allows retailers to make pricing decisions that are not only fast but also optimized for both revenue and customer perception.

Pros:

• Competera supports multiple pricing strategies, including elasticity-based, rule-based, and clean-sheet pricing.
• The platform monitors competitors in real time across different regions and selling channels.
• You can test pricing strategies in a sandbox environment before applying them to your live store.
• Competera integrates with tools like ERP systems, PIM platforms, and internal pricing engines.

Cons:

• The initial setup requires time to map your product and pricing data properly.
• The dashboard includes a lot of depth, which can make it overwhelming for new users at first.

Used for: Optimizing pricing strategies across catalogs and channels.

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Search & Discovery

22. Klevu

Rating: 4.5/5 on G2

Pricing (14-day free trial):

• Essential: $449/month
• Advanced: $549/month
• Expert: $649/month

AI tech used: Natural language processing (NLP), semantic search, behavioral learning.

Among AI tools for eCommerce, Klevu stands out for turning search into something smarter and more human. It uses NLP and machine learning to understand what shoppers really mean, even when queries are messy, casual, or incomplete.

What makes it more powerful over time is how it learns from behavior. As more customers click, search, and buy, Klevu fine-tunes the results automatically. Thus, shoppers keep seeing the products they’re most likely to want.

Pros:

• Klevu includes a plug-and-play Smart Search for Shopify, Magento, and BigCommerce.
• The NLP engine understands typo-ridden, natural language, and multi-word queries.
• You can use custom merchandising rules to boost or hide certain products.
• Klevu also offers Product Recommendations and Category Navigation as add-ons.

Cons:

• Some merchants may need developer help to fine-tune display logic.
• Reporting features are improving, but not as detailed as standalone analytics tools.

Used for: Delivering intelligent site search that understands user intent in real time.

23. ViSenze

Rating: 4/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Computer vision, deep neural networks, visual similarity detection.

ViSenze uses computer vision to make product discovery a more visual and intuitive experience. Its AI can scan an image, identify key features, and instantly show similar items from your catalog. This is perfect for shoppers who want to find a look, not search by words.

The AI also powers auto-tagging and smart recommendations based on image context. So even if your product listings are basic, ViSenze can enrich them and help people explore more visually.

Pros:

• The visual search engine can detect subtle visual cues like patterns, textures, and silhouettes with high accuracy.
• AI-generated tags reduce the need for manual tagging and speed up catalog onboarding for new products.
• The system improves visual recommendations over time by analyzing which suggestions lead to clicks and conversions.

Cons:

• Image-based results rely heavily on consistent image quality, so low-resolution or cluttered visuals may confuse the AI.
• The AI occasionally suggests items that are visually similar but contextually unrelated, which may frustrate users.

Used for: Powering image-based search, auto-tagging, and lookalike product discovery.

24. Algolia

Rating: 4.5/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Machine learning, neural re-ranking, query categorization, intent detection.

When it comes to AI tools for eCommerce search, Algolia combines speed with intelligence. It uses machine learning to re-rank products based on shopper behavior, pushing high-performing results to the top automatically.

You also get smarter query handling. Algolia can clean up spelling mistakes, understand synonyms, and even interpret vague search terms. The result is faster discovery and fewer dead-end searches.

Pros:

• The dynamic re-ranking engine adjusts search result order in real time based on what shoppers are most likely to engage with.
• You can layer AI-based personalization with business rules to match both shopper intent and brand goals.
• The system uses query categorization to help surface results even when the keyword doesn’t match any product exactly.

Cons:

• The AI models need historical data to work best, so new stores may not benefit right away.
• Some personalization features are only available on higher-tier plans or require extra setup via API.

Used for: Optimizing product search with personalized rankings and smarter query handling.

25. Sitechecker

Rating: 4.6/5 on G2

Pricing:

• Basic: $89/month
• Standard: $199/month
• Premium: $449/month

AI tech used: Machine learning for SEO issue prioritization, adaptive crawling algorithms.

Sitechecker puts AI to work behind the scenes of your website audits. Instead of listing every small issue, it analyzes which problems are most likely to affect SEO and user experience. This saves time and helps you focus on changes that actually move the needle.

The more you use it, the better it gets. Patterns in your site structure, past errors, and technical changes all feed into the system so future audits feel more tailored to your needs.

Pros:

• Sitechecker helps prioritize technical SEO issues based on their likely impact on search performance.
• The crawling system gets smarter over time by learning which types of pages or errors matter most for your site.
• You can use the AI-powered change tracking to monitor how updates affect rankings or errors.

Cons:

• The AI models are less visible or customizable compared to more advanced enterprise SEO platforms.
• It may misjudge issue priority if your site has a non-standard structure or uses heavy JavaScript rendering.

Used for: Improving technical SEO by highlighting the most impactful site errors.

26. Lily AI

Rating: 4.9/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Deep learning, attribute enrichment models, image and text classification

Last but not least in this category, Lily AI trains deep learning models to see your products like your customers do. It looks at your product images and descriptions to create tags that match how customers feel. These tags go beyond color or fabric to capture moods like “vacation-ready” or “confidence-boosting.”

These enhanced tags make your site search and filters feel more human. Shoppers connect better with what they see, and recommendations get sharper without you having to rewrite your entire product catalog.

Pros:

• The AI models extract emotional and contextual product attributes that traditional PIM systems can’t capture.
• You can use enriched tags to improve both on-site search and ad feed performance at the same time.
• The platform automatically updates tags as shopper trends evolve, reducing the need for manual audits.

Cons:

• You may need to clean or standardize product data before the AI can process it accurately.
• The enriched attributes may need to be translated or localized if you operate in non-English markets.

Used for: Enhancing product metadata to better reflect customer-driven search behavior.

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Marketing & Sales Automation

27. Optimove

Rating: 4.6/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Predictive modeling, uplift modeling, behavioral clustering.

Optimove uses AI to help you run smarter, more personalized marketing campaigns. Its predictive models segment customers automatically and recommend who to target, when, and with what message. You don’t have to guess anymore – everything’s based on real data and behavior.

What impressed us is how precise it feels. The AI doesn’t just segment users broadly. It finds micro-groups you’d never think to target manually, then suggests actions that actually move the needle. We liked how it made personalization feel doable without extra tools or effort.

Pros:

• The AI models calculate customer retention probability and help prioritize campaigns for at-risk users.
• You can use predictive uplift modeling to estimate how different actions will impact specific segments.
• Optimove supports multi-channel orchestration driven by AI, not just rule-based logic.

Cons:

• The AI needs a high volume of historical data to deliver accurate predictions.
• Some predictive outputs may require marketing expertise to interpret correctly.

Used for: Personalizing customer journeys and predicting marketing impact across channels.

28. Salesforce Einstein

Rating: 4.4/5 on G2

Pricing: Included as part of various Salesforce Clouds.

AI tech used: Machine learning, predictive analytics, and intent modeling.

As one of the more powerful AI tools for eCommerce and CRM, Einstein supports smarter sales and marketing decisions inside the Salesforce ecosystem. It scores leads, predicts which contacts are likely to convert, and recommends the best next steps in your pipeline. In addition, it helps automate tasks like email sends or follow-ups based on AI insights.

From our experience, Einstein feels like a quiet assistant working in the background. It doesn’t take over your workflow, but it gives nudges that help you focus on the right people. The predictions feel surprisingly spot-on once you’ve got enough data flowing into the system.

Pros:

• The lead scoring engine uses AI to surface the highest-converting prospects in your pipeline.
• You can generate automated follow-up recommendations based on real-time activity data.
• Einstein insights are embedded directly into CRM dashboards, reducing context-switching.

Cons:

• Smaller eCommerce teams may find setup and integration complex without a Salesforce admin.
• The AI recommendations can feel generic if your data sources are limited or inconsistent.

Used for: Scoring leads, forecasting conversions, and guiding next-best marketing or sales actions.

29. AI Wishlist by Wisepops

Rating: 4.5/5 on G2

Pricing: You can try these AI tools for eCommerce at no cost while they’re still in beta. After the beta phase, it’ll cost 2.5% of the revenue it helps bring in.

AI tech used: Machine learning, real-time intent modeling, and clickstream analysis.

AI Wishlist by Wisepops is a newer tool that uses machine learning to recommend products shoppers might want to add to their wishlist. It learns from browsing behavior, click history, and cart patterns to create a smart, real-time wishlist experience.

We found this tool refreshing because it adds value without being pushy. Instead of forcing pop-ups or upsells, it quietly suggests things people actually like. It also helps uncover demand for products that might not get attention otherwise.

Pros:

• The AI identifies products with high intent based on browsing patterns, not just add-to-cart behavior.
• Wishlist suggestions update in real time as shoppers interact with different pages.
• The system uncovers interest in long-tail or low-visibility products that usually get overlooked.

Cons:

• The model performance depends heavily on having strong on-site engagement signals.
• AI Wishlist works best with larger catalogs, so small stores may see limited uplift.

Used for: Suggesting personalized wishlist items to increase product discovery and conversions.

30. Buffer AI Assistant

Rating: 4.3/5 on G2

Pricing (AI assistant available and unlimited for all Buffer plans):

• Free: $0/month
• Essentials: $5/month
• Team: $10/month

AI tech used: Generative AI (large language models), tone adaptation, natural language generation

In this list, Buffer is one of the best free AI tools for marketing that you can’t skip. It helps you write and improve social media posts using generative AI. In addition, the tool is able to rewrite a caption, match a specific tone, or create posts from scratch based on a product or idea.

Honestly, it made our content workflow feel lighter. Sometimes you just need a starting point or a quick rewrite – and this AI gives you that without overcomplicating things. We wouldn’t use it for full strategies, but for daily content tasks, it’s a solid co-pilot.

Pros:

• The assistant can rewrite content using different tones, such as friendly, promotional, or informative.
• You can generate post ideas from simple prompts, hashtags, or even links.
• The AI learns your brand tone over time and adapts suggestions to match it better.

Cons:

• It may struggle to maintain nuance or emotion in long-form or sensitive content.
• The assistant requires some human editing to avoid generic or repetitive phrasing.

Used for: Creating and improving social media copy based on brand tone and content goals.

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Operations & Analytics

31. Zebra Prescriptive Analytics

Rating: 4.3/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Prescriptive analytics, machine learning, anomaly detection.

Zebra’s platform uses AI to spot operational issues before they become real problems. It looks at sales, inventory, shrink, and staffing data, then recommends specific actions to fix inefficiencies. Among the AI tools for eCommerce that focus on backend operations, Zebra is one of the few that turns raw numbers into real, everyday decisions your team can act on.

We were surprised by how actionable everything felt. The system doesn’t just show charts or flags – it tells you which store or SKU needs attention, and why. It feels like having a business analyst sitting next to you, constantly watching for blind spots.

Pros:

• The AI engine identifies performance risks and recommends specific corrective actions before they escalate.
• You can prioritize store-level or SKU-level interventions without manually sifting through reports.
• Zebra helps automate operational workflows using real-time data inputs.

Cons:

• Zebra is designed mainly for larger operations, which may limit its value for smaller eCommerce teams.
• It requires solid integration with your inventory and POS systems to deliver the best results.

Used for: Detecting operational issues and recommending precise, data-backed actions in retail environments.

32. Polar Analytics

Rating: 4.7/5 on G2

Pricing: Pricing is not publicly listed. Costs are usage-based and provided via custom quotes after contacting the sales team.

AI tech used: Anomaly detection, data aggregation, pattern recognition.

Polar Analytics combines all your eCommerce data in one place, then uses AI to surface patterns and anomalies. It connects to Shopify, ad platforms, email tools, and more to bring everything into one clean dashboard. From there, the AI flags changes in performance or behavior worth investigating.

We liked how lightweight and user-friendly it felt. Unlike more complex BI tools, Polar gives you just enough AI tools for eCommerce to make better daily decisions – without overwhelming you with setup or formulas.

Pros:

• Performance anomalies are automatically flagged without setting manual thresholds.
• Smart alerts highlight changes in ROAS, LTV, or retention as soon as they occur.
• Data from multiple sources is grouped intelligently to surface cross-channel patterns.

Cons:

• Some performance insights can be too high-level if campaign naming isn’t standardized.
• Attribution models may require adjustment to match specific sales cycles.

Used for: Surfacing key trends and outliers across eCommerce performance data in one central dashboard.

33. Plerdy

Rating: 4.7/5 on G2

Pricing:

• Free plan: $0/forever
• Startup: $32/month
• Scale: $64/month
• Thrive: $108/month
• Enterprise 1: $148/month
• Enterprise 2: $246/month
• Enterprise 3: $390/month

AI tech used: Behavioral analytics, heatmap intelligence, engagement modeling.

Plerdy helps optimize websites by analyzing user behavior and recommending improvements. It uses AI to track heatmaps, clicks, scrolls, and engagement data, then suggests UX fixes that could improve conversion rates. For brands looking for AI tools for eCommerce that support CRO and site experience, this one brings in solid behavior-based insights.

The tool felt especially helpful when we didn’t know where to start. It pointed out which elements people were ignoring, where they dropped off, and how changes might affect the flow. That kind of insight helps avoid costly guesswork in design and CRO.

Pros: 

• User activity is translated into design suggestions that support better conversion.
• Heatmap data is used to identify content zones that attract or lose attention.
• Scroll depth and click tracking are analyzed together to improve layout prioritization.

Cons:

• UX suggestions are based purely on on-site behavior and may not reflect external factors.
• Visual heatmaps can be misleading without enough session volume to analyze.

Used for: Improving site UX and conversion rates based on real user behavior insights.

34. Adobe Sensei

Rating: 4/5 on G2

Pricing: Built into Adobe’s tools like Creative Cloud and Experience Cloud.

AI tech used: Machine learning, predictive analytics, content intelligence.

The final name on our AI tools for eCommerce list is Adobe Sensei powered by Adobe’s ecosystem. For eCommerce teams, it helps forecast trends, segment audiences, and deliver personalized content at scale. It also boosts image tagging, searchability, and content recommendations inside Adobe Commerce.

What impressed us most is how smoothly it fits into existing Adobe workflows. You don’t feel like you’re “using AI” – you just notice that tasks get faster, insights get clearer, and personalization becomes easier to scale.

Pros:

• Customer behavior signals are used to build dynamic audience segments.
• Product recommendations adjust based on real-time browsing and purchase history.
• Content assets are automatically tagged and categorized to speed up asset discovery.

Cons: 

• Integration and activation across the Adobe suite can involve a steep learning curve.
• Output quality heavily depends on the depth and consistency of your input data.

Used for: Powering personalization, segmentation, and asset management across Adobe-powered eCommerce experiences.

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How to Choose the Right AI Tools for eCommerce?

AI can be powerful, but only if it fits your actual needs. The right tool should match your goals, your data, and how your team works day to day.

• Your business goals: The AI tools for eCommerce should support one clear objective, such as improving conversion rate, retention, or pricing decisions. A focused goal helps you avoid tools that add complexity without impact.
• Data readiness: AI systems rely on clean and consistent data to work properly. Basic order, product, and customer data should already be in place before adoption.
• Ease of integration: The tool should connect smoothly with your eCommerce platform and existing marketing stack. Faster integration usually leads to faster results and fewer technical issues.
• Level of automation: Different tools offer different levels of control and automation. The right choice depends on whether your team prefers AI suggestions or fully automated actions.
• Team skill level: The interface and workflows should match your team’s experience and resources. Tools that are too technical often end up underused.
• Scalability: The platform should continue to perform well as traffic, data volume, and product count increase. A scalable tool reduces the need for early replacements.
• Pricing model: The cost structure should align with your current business size and usage patterns. Transparent pricing helps avoid unexpected costs as usage grows.
• AI transparency: The system should clearly explain how recommendations or predictions are generated. Clear explanations build trust and make results easier to act on.

You don’t need to adopt everything at once. Start with one key area, test what works, and expand your AI stack from there.

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AI Tools for eCommerce: FAQs

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Conclusion

So there you have it – a full lineup of powerful AI tools for eCommerce. Take a moment to explore your options and pick the ones that truly align with your goals. For more information, check out our LitExtension blog and join our Facebook Community.