List of AI Tools for eCommerce

AI Tools for eCommerceList of AI tools for eCommerce. AI is rapidly becoming more important in ecommerce as a way of automating many time consuming tasks that add value and a competitive edge to your business.

Benefits of Using Artificial Intelligence in eCommerce

  • Personalized and Interactive Buying Experiences
  • AI tools enable store owners to regard customer preferences in real-time. Thus, this develops an interest for customers and feeds them with personalized shopping ventures.
  • eCommerce Platforms Can Forecast Future Demands.
  • eCommerce store owners can review and explore their website’s stock needs and utilization practices with AI tools. Thus, this is super useful in deciding which products market the most.
  • Credit Card Fraud Risk Management.  Using AI tools, eCommerce store owners can guarantee safer online payments. They can use machine learning to recognize and comprehend possible deceitful credit card transactions.
  • AI Assistance in Offering the Best Pricing eCommerce platforms can use AI pricing tools powered by machine learning algorithms to market their products at the best pricing. These tools enable the prediction of future prices by assessing various factors such as inventory, etc. It also prevents the store owner from discounting too much, thus giving away valuable margin.

Best AI tools for eCommerce.

the order of listing is in the order of discovery – first ones are at the top – last ones discovered are at the bottom – some have affiliate links.


this tool does what it says on the tin – it adds nudges into the shopping experience. It tells you how many are looking at the product, recent purchases, links to social reviews, how many are left. Basically its adding social proof and urgency to the shopper to hurry them into the checkout. You can view the site here nudgify. 


  1. Dynamic Personalization:
    • AI-driven product recommendations based on user behavior, preferences, and purchase history.
    • Real-time adaptation of recommendations for each visitor to enhance engagement and conversions.
    • Personalized content delivery across various touch-points in the customer journey.
  2. Conversion Rate Optimization:
    • Smart pop-ups, banners, and notifications strategically placed to drive conversions.
    • Tailored recommendations that lead to cross-selling and up-selling opportunities.
    • Intelligent exit-intent pop-ups to retain potential abandoning customers.
  3. A/B Testing and Optimization:
    • Conduct A/B tests on recommendation strategies, layouts, and placements.
    • Data-driven insights to fine-tune personalization efforts and maximize effectiveness.
    • Identify optimal configurations to increase engagement and conversions.
  4. Real-time Analytics and Reporting:
    • Comprehensive dashboard offering real-time insights into user behavior and conversions.
    • Visualize key performance metrics, such as click-through rates, conversion rates, and revenue uplift.
    • Track the impact of personalization strategies on overall business outcomes.
  5. Segmentation and Targeting:
    • Create custom audience segments based on demographics, behavior, and preferences.
    • Target specific segments with personalized campaigns and recommendations.
    • Deliver content that resonates with different customer groups to drive engagement.
  6. Cart Abandonment Recovery:
    • Automatically trigger personalized emails to recover abandoned carts.
    • Showcase abandoned products and provide incentives to encourage customers to complete purchases.
    • Increase conversion rates by re-engaging potential buyers who showed interest but did not complete transactions.
  7. Multi-channel Integration:
    • Seamlessly integrate with various ecommerce platforms and content management systems.
    • Deliver consistent personalized experiences across website, mobile app, email, and more.
    • Maintain a cohesive brand presence throughout different customer touch points.
  8. Machine Learning and AI Algorithms:
    • Advanced algorithms that continuously learn and adapt to user preferences.
    • Enhance recommendations over time to provide increasingly relevant product suggestions.
    • Improve user engagement and satisfaction through accurate predictions.
  9. Customer Journey Mapping:
    • Understand the complete customer journey with insights into touch points and interactions.
    • Optimize personalization efforts based on the stages of the customer lifecycle.
    • Tailor recommendations to align with user expectations at different points in the journey.
  10. Customer Support and Assistance:
    • Dedicated customer support for on boarding, troubleshooting, and guidance.
    • Resources for learning best practices and making the most of the tool’s features.
    • Proactive assistance to ensure optimal usage and results.

Segementify is a suite of AI tools for ecommerce. It divides into search and cross selling.  The on boarding is done by Segmentify as it differs from platform to platform. They handle niche ecommerce platforms. No shopper data is passed so GDPR is safe. Its basically machine learning from past sales and current shopper behavior. Unlike some other AI platforms there is little manual setup from the store owner.

Cookie-less AI Technology:’s use of cookie-less AI technology is a significant advantage, as it allows businesses to gather valuable insights and personalize customer experiences without relying on traditional tracking methods.

Collaborative Approach:

The platform focuses on collaboration rather than replacement, allowing businesses to integrate seamlessly with their existing systems. This collaborative approach ensures a smooth transition and maximizes the value of existing infrastructure.

Audience Building: helps businesses build audiences effectively by analyzing customer behavior and preferences. This enables businesses to target their marketing efforts more precisely and drive engagement with relevant content.

Cross-selling Opportunities:

With, businesses can identify cross-selling opportunities and suggest complementary products to customers, increasing average order value and driving revenue growth.

Data Accuracy: provides accurate data insights, helping businesses make informed decisions and optimize their e-commerce strategies for maximum effectiveness.

Technical Implementation:

Implementing on platforms that are not mainstream may require technical expertise, posing a challenge for businesses with limited resources or technical capabilities. But ecommerce is technocal so running it without a technical partner is possibly not realistic.

Overall, offers a powerful solution for businesses seeking to enhance their e-commerce operations through personalized recommendations, audience building, and data-driven insights. However, businesses should consider factors such as technical implementation, cost, and customization options when evaluating for their needs.

TUP e-Commerce

TUP Solutions performs on all eCommerce platforms, including WooCommerce, Magento, etc. It presents two solutions to help store owners: Revenue Optimization and Persona Identification.

Revenue Optimization

In this, TUP automates UX modifications to boost revenue. They bring the data together and analyze it from campaigns to conversions. Also, they determine the best-selling personas. Therefore, this is called their multivariate analysis. They also supply eCommerce store owners with revenue-optimized styling. And this takes buyer understanding to the successive level.

Persona Identification

This program enables eCommerce store owners to realize the most converting actions. Thus, it recognizes and shows which campaign feature, on-site promo, or demographic one earns the most revenue.

  1. User-Friendly Interface:
    • Intuitive and easy-to-navigate dashboard for effortless store management.
    • Simple setup and on boarding process for new users.
  2. Product Management:
    • Efficiently add, edit, and organize products with detailed descriptions, images, and variants.
    • Bulk product upload and editing capabilities to save time.
  3. Mobile Responsive Design:
    • Responsive templates and layouts to ensure a seamless shopping experience across devices.
    • Mobile app integration for customers to shop on-the-go.
  4. Customization and Branding:
    • Personalize the storefront with customizable themes, colors, and branding elements.
    • Tailor the look and feel of the website to match the brand identity.
  5. Inventory Management:
    • Real-time inventory tracking to prevent overselling and stock-outs.
    • Low stock notifications and automated reorder suggestions.
  6. Multi-channel Selling:
    • Integration with major social media platforms and marketplaces for expanded reach.
    • Sell products on platforms like Facebook, Instagram, Amazon, and eBay.
  7. Secure Payment Processing:
    • Support for various payment gateways to offer a range of payment options.
    • Secure SSL encryption for safe and protected transactions.
  8. Checkout and Cart Management:
    • Streamlined one-page checkout process for minimal cart abandonment.
    • Abandoned cart recovery emails to encourage customers to complete purchases.
  9. Shipping and Fulfillment:
    • Integration with shipping carriers to provide real-time shipping rates.
    • Order tracking for customers and automated shipping notifications.
  10. Analytics and Reporting:
    • In-depth analytics to monitor sales, traffic, and customer behavior.
    • Generate reports on popular products, customer demographics, and sales trends.
  11. SEO and Marketing Tools:
    • Built-in SEO optimization features for better search engine visibility.
    • Marketing tools like discounts, coupons, and loyalty programs to drive customer engagement.
  12. Customer Reviews and Ratings:
    • Allow customers to leave reviews and ratings for products.
    • Showcase social proof to build trust and credibility.
  13. Customer Support:
    • Provide live chat, email, or phone support for customer inquiries.
    • Help center with FAQs and resources for self-service assistance.
  14. Multi-language and Localization:
    • Offer multiple language options and localized currency settings.
    • Reach international customers with region-specific features.
  15. Data Security and Compliance:
    • Secure data storage and adherence to GDPR and other data protection regulations.
    • Regular software updates and security patches.

Seventh Sense

Seventh Sense is an AI software that can ramp up the implementation of email marketing campaigns. It can also raise attention for the eCommerce store.

This AI, an email marketing tool, can profit in more than one manner. Therefore, email inboxes are so loud that one needs to break through the chaos using AI to deliver emails and deliver analytics.

Seventh Sense supports HubSpot and Marketo and proposes the following features that may help one get the most engagement:

Dispatch time optimization – this supplies email to every person at their optimal engagement time.
Email throttling – these races up the email delivery procedure
Email frequency optimization – segmentation lets one email customers, at their liked frequency


Not a tool to turn your sister into a Granny !

  1. Behavioral Analytics:
    • Advanced tracking of user behavior and interactions on the ecommerce website.
    • Collect data on browsing patterns, cart additions, and purchase behaviors.
  2. Real-time Intent Detection:
    • AI algorithms analyze user behavior in real time to determine purchase intent.
    • Identify signals of hesitation, interest, or urgency to trigger personalized interventions.
  3. Conversion Rate Optimization:
    • Predictive analytics to identify visitors with high potential to convert.
    • Dynamically adapt website elements to encourage conversion, such as pop-ups, discounts, or recommendations.
  4. Exit Intent Technology:
    • Detect when visitors are about to leave the site and intervene with tailored offers.
    • Reduce cart abandonment rates by engaging users before they exit.
  5. Automated Trigger Campaigns:
    • Set up automated campaigns that respond to specific user behaviors.
    • Send targeted emails, notifications, or messages to re-engage and convert customers.
  6. Personalized Product Recommendations:
    • AI-driven product recommendations based on user preferences and browsing history.
    • Increase cross-selling and up-selling opportunities for higher average order value.
  7. A/B Testing and Optimization:
    • Test different interventions, messages, and designs to optimize conversion strategies.
    • Data-driven insights to refine and improve campaign effectiveness.
  8. Segmentation and Targeting:
    • Create custom audience segments based on user characteristics and behaviors.
    • Deliver tailored experiences to specific groups for better engagement.
  9. Dynamic Pricing Strategies:
    • Adjust pricing dynamically based on user behavior, demand, and market trends.
    • Implement personalized pricing to enhance customer perception and drive sales.
  10. Data Visualization and Insights:
    • Comprehensive dashboards presenting real-time analytics and performance metrics.
    • Visualize key indicators such as conversion rates, revenue impact, and engagement.
  11. Integration with Ecommerce Platforms:
    • Seamlessly integrate with popular ecommerce platforms for easy implementation.
    • Maintain consistency across the user experience on different platforms.
  12. AI-driven Chatbots:
    • AI-powered chat-bots assist customers with inquiries, product recommendations, and support.
    • Enhance customer engagement and provide instant assistance.
  13. Churn Prediction and Retention:
    • Identify customers at risk of churning based on their behavior patterns.
    • Implement retention strategies to re-engage and retain valuable customers.
  14. Multi-language and Localization:
    • Support for multiple languages and regional preferences.
    • Deliver personalized experiences that resonate with diverse audiences.
  15. Data Security and Compliance:
    • Ensure secure handling of customer data and compliance with privacy regulations.
    • Protect customer trust and maintain data integrity.

Granify proposes effortless and fast machine-learning revenue optimization for eCommerce store owners. Granify collects about 500 behavioral data facts per second as the customers interact with the eCommerce store. Therefore, it then utilizes this data to resemble billions of other customer behavioral ways to estimate the buyers’ chances of conversions. Granify can send the customers optimal messages when it recognizes a conversion opportunity. Its predictive analysis enables each customer with the products they require and desire.


Namogoo enables eCommerce store owners to boost their revenues by identifying lost revenue prospects through AI. Thus, it not only accomplishes this on the eCommerce store’s website but also on the app.

  1. Real-time User Behavior Analysis:
    • Continuously monitor and analyze user behavior in real time.
    • Detect unauthorized injections, disruptions, and malicious activities.
  2. Digital Disruption Detection:
    • Identify and prevent unauthorized and harmful digital disruptions on websites.
    • Block client-side injected ads, pop-ups, and unwanted content.
  3. Customer Experience Protection:
    • Ensure a seamless and distraction-free online experience for visitors.
    • Prevent disruptive elements that harm user engagement and trust.
  4. Ecommerce Revenue Recovery:
    • Block unauthorized ads and product recommendations that divert customers away from the website.
    • Increase conversion rates by eliminating distractions that negatively impact the buying journey.
  5. In-session Detection:
    • Identify disruptions as they occur during a user’s browsing session.
    • Instantly prevent disruptive content from appearing and impacting user experience.
  6. Cross-device Prevention:
    • Extend disruption prevention across different devices and platforms.
    • Maintain consistent customer experience regardless of the device being used.
  7. Advanced Machine Learning Algorithms:
    • Utilize AI-driven algorithms to detect and prevent new and evolving digital disruptions.
    • Improve accuracy over time by learning from emerging threats.
  8. Customized Rule Configuration:
    • Tailor disruption prevention rules to match specific business goals and industry requirements.
    • Adjust settings to adapt to changing online environments.
  9. Transparent Reporting and Analytics:
    • Provide detailed insights into prevented disruptions and their potential impact.
    • Visualize data on blocked disruptions, revenue recovery, and user engagement.
  10. Integrations with Analytics Platforms:
    • Seamlessly integrate with popular analytics platforms for comprehensive data analysis.
    • Gain deeper insights into customer behavior and website performance.
  11. Easy Implementation:
    • Simple installation and setup process for quick deployment.
    • Minimal impact on website performance and user experience.
  12. Customer Support and Expertise:
    • Offer dedicated customer support to assist with setup, configuration, and ongoing usage.
    • Provide guidance on best practices for maintaining disruption-free online experiences.
  13. Data Security and Compliance:
    • Ensure secure handling of customer data and adherence to data protection regulations.
    • Maintain customer trust through robust data security measures.
  14. Personalization-friendly Approach:
    • Tailor digital disruption prevention without compromising personalized user experiences.
    • Allow for customization while maintaining a disruption-free environment.

Smoothing the customers’ digital journey withdraws any roadblocks so that customers follow a clear path to check out quickly and conveniently.

Namogoo utilizes ML to understand the customers in and out to deliver individualized promotions. Also, it manages coupons and price-checking extensions and stops competitors from hijacking the customers, etc.


While this is not technically AI – its automation based on data from other sources makes it as AI as any AI ecommerce tool .

PriSync allows eCommerce store owners to find their rivals’ pricing, strategies, and profit margins. It helps them grow their sales and revenue. PriSync operates in an admiringly efficient manner. The three steps by which one can smoothly set it up and utilize it are as follows:

  1. Competitor Price Monitoring:
    • Continuous tracking of competitor prices across multiple online channels.
    • Monitor pricing changes in real time to stay informed about market trends.
  2. Dynamic Price Alerts:
    • Receive instant alerts when competitors change their prices.
    • Stay proactive and adjust your pricing strategy accordingly.
  3. Automated Price Scraping:
    • Automate the process of gathering competitor pricing data from websites.
    • Eliminate manual data collection efforts and save time.
  4. Multi-Market and Multi-Currency Support:
    • Monitor prices in various markets and currencies for global insights.
    • Adapt pricing strategies based on regional variations.
  5. Product Catalog Management:
    • Easily import and manage your own product catalog for comparison.
    • Keep track of your product assortment and pricing data in one place.
  6. Competitor Analysis and Benchmarking:
    • Compare your prices against competitors’ prices to identify pricing gaps.
    • Gain insights into how your pricing strategy stands in the market.
  7. Price Positioning Strategies:
    • Set dynamic pricing strategies based on your desired price position relative to competitors.
    • Implement strategies like undercutting or premium pricing based on data-driven insights.
  8. Price Optimization Recommendations:
    • AI-powered recommendations for optimal pricing adjustments.
    • Maximize revenue and profit by aligning with market trends and demand elasticity.
  9. Historical Price Data:
    • Access historical pricing data to analyze price trends over time.
    • Gain insights into how competitors’ pricing strategies have evolved.
  10. Customizable Reporting and Dashboards:
    • Generate custom reports and visual dashboards with relevant pricing insights.
    • Monitor key performance indicators and pricing metrics.
  11. Integration with Ecommerce Platforms:
    • Seamless integration with popular ecommerce platforms and systems.
    • Directly apply pricing adjustments based on insights gathered.
  12. Competitor MAP (Minimum Advertised Price) Tracking:
    • Monitor adherence to MAP policies and identify violations.
    • Maintain consistent pricing strategies in compliance with brand guidelines.
  13. Collaboration and Workflow Tools:
    • Collaborate within teams by sharing pricing insights and strategies.
    • Assign tasks and manage pricing optimization efforts effectively.
  14. Data Security and Compliance:
    • Ensure secure handling of pricing data and adhere to data protection regulations.
    • Safeguard sensitive pricing information.
  15. Customer Support and Training:
    • Provide customer support for on boarding and troubleshooting.
    • Offer training resources to help users make the most of the platform.

Add the products and describe them. One can add them individually or all at once. Then add the nominees to the dashboard as well.
Once one has added the products and competitors, one can go to the dashboard and notice the price shifts in the market. Also, one can find past price trends and export all the data one wants suitable to pricing to an excel sheet.
Pricing data, trends, indexes, etc., can easily leverage to grow the market share by being up-to-date and competitive. is an open, available, and easy-to-use AI platform. Machine learning indicates customer behavior by analyzing customer behavior habits and insights.

Some of the ways Morphl works are:

It processes an enormous volume of signals, including the customer’s activity, scanned products, inquiries, etc.
It concentrates on precise targeting methods to group the customers into segments so one can better direct the marketing efforts.
Tailoring the online shopping understanding for each individual helps one make better decisions and optimize the marketing process.

Morphl also delivers a suite of machine learning models to promote the eCommerce store:

Shopping stage to tap promising customers.
Customer LTV to provide more relevant up selling offers by apprehending the buying power of customers and more.


NeoWize pursues an active, data-driven strategy. Also, it continuously seeks to design advanced dynamic algorithms that take machine learning to the next level. It is also one of the industry leaders in eCommerce. Therefore, it utilizes technical capabilities like machine learning, neural networks, and adaptive intake to pull the most out of the open data. It proposes personalizing the store, business intelligence, wisdom, and analytics.


ViSenze expands the product discoverability of the eCommerce store. It enhances how the customers search for a product utilizing visual AI and rich catalog data.

Also, it vows to make visual search 9x speedy than text search. It presents good SEO and refined product search features and offers contextual products. Moreover, contextual advertising allows eCommerce store owners to create admiringly relevant ads that suit the styles and trends buyers are vigorously probing.


Liveperson is a creative AI tool that bridges the conversation gap between suppliers and potential customers. Hence, it is an innovative initiative that enhances brand-to-customer conversations via an AI-powered conversational cloud. It also makes it very simple for customers to buy the messaging channels they are satisfied using in their everyday life.

Liveperson suggests various tools and products like Intent Manager, Conversational AI, Conversation Manager, Conversation Analytics, Social Messaging, etc., that one can read about on their website.


Phrasee is an AI tool developed to promote eCommerce marketing efforts. Automating brand standards and sound is unique to the brand. It enables one to optimize the brand language and form a personal and connected customer journey that drives sales for the store.

Personalizing and optimizing the brand language via Phrasee would raise brand awareness and social following. Also, it will boost engagement by reaching out to consumers in real-time with personalized messaging. Therefore, this AI tool will also reduce the bounce rate by sending the customer customized messages.

Phrasee also provides access to tools like opportunity cost calculator, subject line analyzer, etc., and some power elements like Phrasee Brain and Phrasee Score.


Betaout proposes several AI features that can help with behind-the-scenes duties. For instance, workflow automation and building KPI dashboards. Its capacity to help with abandoned shopping cart healing probably has the most direct impact on online stores.

Betaout’s AI tool utilizes customer data to transmit real-time updates to consumers after their cart gets abandoned. Betaout tugs details directly from the site and the customer’s cart to dispatch emails or text messages to clients who abandoned their shopping cart. Therefore, inventory updates, limited-time sales, and other signals will significantly boost the chance of customers returning to their carts to make a purchase.

Shopbox AI

Cross Selling AI bot that automates the cross selling based on the visitors current basket and browsing activity. The later is the most exciting part as its leveraging new data in real-time. In ecommerce its all about the recency of the data. Old data is not as valuable as today’s data.

Future of AI in eCommerce

eCommerce is a $2 trillion market, and AI could significantly push this number. AI can assist merchants in making more optimistic future predictions about sales and delivering better customer support. Also, it will have a significant impact on the eCommerce sector. With data showing out of all industries, eCommerce is one of the leading ones grown for AI investment. It will ensure that customers enjoy a more effortless and quicker shopping experience.

Conclusion  : AI for ecommerce is in its early stage and therefore there is a lot of VC investment in it making it relatively cheap to apply and get some results quickly.  However this will not always be the case as the useless ideas and applications get abandoned and the good ones get adapted widely. There are alot of products out there and there is very little separating them apart from price and privacy. Its too early for a front runner to emerge. Remember the public only became aware of AI on the release of ChatGPT in November 2022. At time of writing we are not even 12 months in and we have this many tools. Every Saas based tool is now boasting some AI feature and its becoming a little tedious as Saas providers like to charge more for these features.

Prices for AI tools at time of writing are still too high – they are basing their pricing on sales attribution which is another rabbit hole.

Google has been warning against using AI to write content and desperately demoting and de-ranking pages where it detects this. We have yet to see evidence of this – but like alot of google announcements they tend to take a while to take effect.

Some ecommerce sites are simply over doing AI and its resulting in a pushy unpleasant experience thats driving the customer with too much force around the store. Remember all shoppers have a tolerance level and the more AI they are exposed to the easier it is to spot. This is proving to be a turn off in some sectors and a balance has to be struck. As with all new tech – if its applied with no consideration for the end user it will do damage instead of good.



By | 2024-04-19T17:30:05+00:00 February 27th, 2023|e commerce, ecommerce|